Relevant bibliographies by topics / Lateral car control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Lateral car control'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Lateral car control"

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Zhou, Shu Wen, Si Qi Zhang, and Guang Yao Zhao. "Study on High-Speed Lateral Stability of Car-Trailer Combination." Applied Mechanics and Materials 29-32 (August 2010): 1420–24. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1420.

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Since the handling behaviour of car-trailer combination is more complex and less predictable than that of non-articulated vehicles, the drivers may lose control of the vehicle in some hasty steering maneuvers. The kinematics of car-trailer combination has been analyzed with a 3 DOF model. A modified Vehicle Dynamics Control system was designed to improve the lateral stability of the trailer. The dynamics simulation for lateral stability of car-trailer combination has been performed on the multi-body model. The results show that the lateral stability of car-trailer combination, including yaw rate and roll angle has been improved with the modified Vehicle Dynamics Control system.
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You, S. S., and H. S. Kim. "Lateral dynamics and robust control synthesis for automated car steering." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 215, no. 1 (January 2001): 31–43. http://dx.doi.org/10.1243/0954407011525449.

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Nieminen, Tapio, and Heikki Summala. "Novice and Experienced Drivers' Looking Behavior and Primary Task Control While Doing a Secondary Task." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 14 (October 1994): 852–56. http://dx.doi.org/10.1177/154193129403801412.

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This study is addressed to time-sharing and primary task control during a secondary task as a function of driving experience. After about 1.5 h of test driving, when well-adapted to the experimental car, 23 novices (less than 5,000 km of driving) and 26 experienced drivers (more than 150,000 km) were asked to change a cassette in a cassette player on an ordinary two-lane road. The task was replicated three times. The results showed no difference between novice and experienced drivers in time-sharing (glance length at the in-car task and at the road), lateral position-keeping (lateral displacement as a function of time at in-car task) or control in relation to oncoming traffic. The only difference occurred in speed control, experienced drivers keeping their speed level constant while novices slowed down somewhat during the secondary task. These data showed, in a supervised experimental setting, a similar linear relationship between time spent on an in-car task and lateral displacement both for novice and experienced drivers, and a similar median time gap of about 2 s to an oncoming vehicle at the moment when both novice and experienced drivers shifted their gaze from the in-car task to the road.
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Cui, Sheng Min, Chao Zhang, Jian Feng Wang, and Kun Zhang. "Research on Path Tracking Control for Vision Based Intelligent Vehicle." Applied Mechanics and Materials 63-64 (June 2011): 305–8. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.305.

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This paper proposes an optimal control method to achieve the path tracking mission for the vision based intelligent vehicle. After the access of road trajectory, path tracking task is achieved by the intelligent vehicle automatic steering devices. The angle deviation and lateral deviation relative to the target path can be controlled in the smaller range by state feedback optimal control. A car model contained road information is established for the achievement of intelligent vehicle path tracking and automatic steering. Some values of the variables needed for the control system are obtained by sensors mounted on the car, and achieve the path tracking by the optimal state feedback controller. The algorithm proposed has been validated by simulations. It can make the lateral deviation within the expected range stability. And also the lateral acceleration meets the ride comfort requirements.
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Vörös, Illés, László Turányi, Balázs Várszegi, and Dénes Takács. "Small-scale Experimental Test Rig for Lateral Vehicle Control." Periodica Polytechnica Mechanical Engineering 65, no. 2 (March 9, 2021): 163–70. http://dx.doi.org/10.3311/ppme.17269.

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This paper presents the design and implementation of a small-scale hardware-in-the-loop test environment for lateral vehicle dynamics controllers. The test rig consists of a conveyor belt and a 1:10 scale model vehicle. The vehicle is anchored to the frame of the conveyor belt using a special fixture, which constrains only the longitudinal displacement of the car. Therefore, the longitudinal velocity of the vehicle is provided by the conveyor belt, while the steering is generated by the computational unit, where various control methods can be implemented. The test rig is equipped with sensors that provide accurate measurements of the position and orientation of the car, which can be used as feedback in the control algorithms. The paper includes a case study, where the analytical stability analysis of a lane-keeping controller is verified with experiments on the test rig. The proposed test environment provides a compact, cost effective and versatile framework for the testing of various steering control methods in a running vehicle, while maintaining the benefits of a controlled laboratory environment. The experimental setup can also be used for educational and demonstrational purposes.
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Saleh, Louay, Philippe Chevrel, and Jean-François Lafay. "Generalized H2-Preview Control and its Application to Car Lateral Steering." IFAC Proceedings Volumes 43, no. 2 (2010): 132–37. http://dx.doi.org/10.3182/20100607-3-cz-4010.00025.

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Navarro, J., F. Mars, and M. S. Young. "Lateral control assistance in car driving: classification, review and future prospects." IET Intelligent Transport Systems 5, no. 3 (2011): 207. http://dx.doi.org/10.1049/iet-its.2010.0087.

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Li, Gang, Sucai Zhang, Lei Liu, Xubin Zhang, and Yuming Yin. "Trajectory Tracking Control in Real-Time of Dual-Motor-Driven Driverless Racing Car Based on Optimal Control Theory and Fuzzy Logic Method." Complexity 2021 (April 29, 2021): 1–16. http://dx.doi.org/10.1155/2021/5549776.

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To improve the accuracy and timeliness of the trajectory tracking control of the driverless racing car during the race, this paper proposes a track tracking control method that integrates the rear wheel differential drive and the front wheel active steering based on optimal control theory and fuzzy logic method. The model of the lateral track tracking error of the racing car is established. The model is linearized and discretized, and the quadratic optimal steering control problem is constructed. Taking advantage of the differential drive of dual-motor-driven racing car, the dual motors differential drive fuzzy controller is designed and integrated driving with active steering control. Simulation analysis and actual car verification show that this integrated control method can ensure that the car tracks different race tracks well and improve the track tracking control accuracy by nearly 30%.
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Tabti, Khatir, Mohamend Bourahla, and Lotfi Mostefai. "Hybrid Control of Electric Vehicle Lateral Dynamics Stabilization." Journal of Electrical Engineering 64, no. 1 (January 1, 2013): 50–54. http://dx.doi.org/10.2478/jee-2013-0007.

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This paper presents a novel method for motion control applied to driver stability system of an electric vehicle with independently driven wheels. By formulating the vehicle dynamics using an approximating the tire-force characteristics into piecewise affine functions, the vehicle dynamics cen be described as a linear hybrid dynamical system to design a hybrid model predictive controller. This controller is expected to make the yaw rate follow the reference ensuring the safety of the car passengers. The vehicle speed is estimated using a multi-sensor data fusion method. Simulation results in Matlab/Simulink have shown that the proposed control scheme takes advantages of electric vehicle and enhances the vehicle stability.
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ElMaraghy, W. H., and R. V. Dukkipati. "LATERAL STABILITY ANALYSIS OF A RAILWAY TRUCK ON ROLLER RIG." Transactions of the Canadian Society for Mechanical Engineering 21, no. 3 (September 1997): 317–26. http://dx.doi.org/10.1139/tcsme-1997-0015.

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Generic linear models were developed of a freight car (with a characteristic North American three-piece truck) on tangent track. The models were developed using the generalized multi-body dynamics software MEDYNA. Predictions were made of the theoretical linear model hunting (lateral stability) characteristics of the freight car, i.e., the critical speeds and frequencies, for five different configurations: (a) freight car on track, (b) the freight car’s front truck on the roller stand and its rear truck on track, (c) freight car on the roller rig, (d) a single truck on track and (e) single truck on the roller stand. These were compared with the Association of American Railroads’ field test data for an 80-ton hopper car equipped with A-3 ride control trucks. Agreement was reached among all the analytical models, with all models indicating a range of hunting speeds of 2% from the highest to lowest. The largest discrepancy, approximately 8%, was indicated between the models and the field test data.
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Dissertations / Theses on the topic "Lateral car control"

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Mellodge, Patricia. "Feedback Control for a Path Following Robotic Car." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/32100.

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This thesis describes the current state of development of the Flexible Low-cost Automated Scaled Highway (FLASH) laboratory at the Virginia Tech Transportation Institute (VTTI). The FLASH lab and the scale model cars contained therein provide a testbed for the small scale development stage of intelligent transportation systems (ITS). In addition, the FLASH lab serves as a home to the prototype display being developed for an educational museum exhibit. This thesis also gives details of the path following lateral controller implemented on the FLASH car. The controller was developed using the kinematic model for a wheeled robot. The global model is converted into the path coordinate model so that only local variables are needed. then the path coordinate model is converted into chained form and a controller is given to perform path following. The path coordinate model introduces a new parameter to the system: the curvature of the path. Thus, it is necessary to provide the path's curvature value to the controller. Because of the environment in which the car is operating, the curvature values are known a priori. Several online methods for determining the curvature are developed. A MATLAB simulation environment was created with which to test the above algorithms. The simulation uses the kinematic model to show the car's behavior and implements the sensors and controller as closely as possible to the actual system. The implementation of the lateral controller in hardware is discussed. The vehicle platform is described and the harware and software architecture detailed. The car described is capable of operating manually and autonomously. In autonomous mode, several sensors are utilized including: infrared, magnetic, ultrasound, and image based technology. The operation of each sensor type is described and the information received by the processor from each is discussed.
Master of Science
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Havlíková, Marie. "Diagnostika systémů s lidským operátorem." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-233473.

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The doctoral thesis is thematically focused to human operator systems significantly contributing to this system reliability and safety. The theoretical part of the thesis is concerned with human activities and communications in MMS system, valuation and estimation of human reliability probability in MSS. The important part of the thesis is also a description of human operator neuromuscular system as an executive powerful system on MMS system regulating activities and the summary of human driver models in compensative lateral car control. The practical part of the doctoral thesis is based on analyses created by experimental data of drives. Experimental drives were done on drivers set following different backgrounds and different sleep deprivation at whole day. All experimental data was realized from the cooperation and following the agreement of Faculty of Transportation Science research centre on Prague ČVUT. Another part of thesis includes driver simulation model proposals with nonlinear components for lateral car control. Simulation model drives are compared with real drives or drivers on drive-simulator and there are monitored identical and different dynamic movement characteristics. The main target of doctoral thesis is to detect and obtain significant dynamical drive experience characteristics based on experimental data analyses. As well to found drive characters variability owing to driver’s fatigue and determinated evaluated characteristics changes. Acquired results of thesis should help in assistant systems that in cooperation with other components alert to micro-sleep and run off drive possibility.
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Oh, Tchang-hun. "Control of lateral diffraction loss in vertical-cavity surface-emitting lasers /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Narmack, Kirilll. "Dynamic Speed Adaptation for Curves using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233545.

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The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. This degree project provides a data driven solution for a speed adaptation system that can be used to compute a vehicle speed for curves, suitable for the underlying driving style of the driver, road properties and weather conditions. A speed adaptation system for curves aims to compute a vehicle speed suitable for curves that can be used in Advanced Driver Assistance Systems (ADAS) or in Autonomous Driving (AD) applications. This degree project was carried out at Volvo Car Corporation. Literature in the field of speed adaptation systems and factors affecting the vehicle speed in curves was reviewed. Naturalistic driving data was both collected by driving and extracted from Volvo's data base and further processed. A novel speed adaptation system for curves was invented, implemented and evaluated. This speed adaptation system is able to compute a vehicle speed suitable for the underlying driving style of the driver, road properties and weather conditions. Two different artificial neural networks and two mathematical models were used to compute the desired vehicle speed in curves. These methods were compared and evaluated.
Morgondagens fordon kommer att vara mer sofistikerade, intelligenta och säkra än dagens fordon. Framtiden lutar mot fullständigt autonoma fordon. Detta examensarbete tillhandahåller en datadriven lösning för ett hastighetsanpassningssystem som kan beräkna ett fordons hastighet i kurvor som är lämpligt för förarens körstil, vägens egenskaper och rådande väder. Ett hastighetsanpassningssystem för kurvor har som mål att beräkna en fordonshastighet för kurvor som kan användas i Advanced Driver Assistance Systems (ADAS) eller Autonomous Driving (AD) applikationer. Detta examensarbete utfördes på Volvo Car Corporation. Litteratur kring hastighetsanpassningssystem samt faktorer som påverkar ett fordons hastighet i kurvor studerades. Naturalistisk bilkörningsdata samlades genom att köra bil samt extraherades från Volvos databas och bearbetades. Ett nytt hastighetsanpassningssystem uppfanns, implementerades samt utvärderades. Hastighetsanpassningssystemet visade sig vara kapabelt till att beräkna en lämplig fordonshastighet för förarens körstil under rådande väderförhållanden och vägens egenskaper. Två olika artificiella neuronnätverk samt två matematiska modeller användes för att beräkna fordonets hastighet. Dessa metoder jämfördes och utvärderades.
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Books on the topic "Lateral car control"

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Lulé, Dorothée, Albert C. Ludolph, and Andrea Kübler. Psychological morbidity in amyotrophic lateral sclerosis: Depression, anxiety, hopelessness. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757726.003.0003.

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Amyotrophic lateral sclerosis is a devastating condition with progressive loss of movement, speech, and respiratory function, and no available cure. Following the development of clinical symptoms and after receiving a diagnosis, patients may develop psychological morbidity, such as depression, anxiety, and hopelessness. However, many patients adjust successfully in the course of the disease and maintain good psychological well-being, so that a decline in psychological well-being does not necessarily accompany loss of physical function. There are several major determinants of good psychological adjustment to chronic and terminal disease—intrinsic factors such as coping strategies and internal locus of control, and extrinsic factors such as high (perceived and actual) social support by families and multidisciplinary professional teams. Providing care with a holistic view of the patient is probably the most effective approach to supporting patients’ psychosocial adjustment to the disease and minimizing depression, anxiety, and hopelessness.
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Herreros, Ivan. Learning and control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0026.

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This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.
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Godfrey, Barry, Pam Cox, Heather Shore, and Zoe Alker. After Care. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788492.003.0007.

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Chapter 7 focuses on the experiences of the small minority who—to our knowledge—went on to become persistent offenders and often to experience lasting social exclusion. This group could be described as life course persistent offenders although it should be noted that there are many challenges in comparing ‘persistence’ across time and space. Significantly, this chapter asks whether the early life experiences of these ‘persisters’ (as documented in official sources) are markedly different from those of ‘desisters’. It finds little evidence setting the two groups apart. Thus it seems that early high risk profiles are not always accurate predictors of persistent offending; and that desistance tends to follow where individuals are supported by strong informal social controls to make wise choices, even later in life.
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Koskenniemi, Martti. Carl Schmitt and International Law. Edited by Jens Meierhenrich and Oliver Simons. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199916931.013.020.

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Carl Schmitt always presented himself and was above all a jurist. His doctoral dissertation was based on an antiformal theory of law that was also in evidence in his acerbic critics of the League of Nations and the system of control over Germany established in the Treaty of Versailles. This chapter shows that the concrete-order thinking of his later years espoused a more conventional legal realism that has always constituted an important stream of international jurisprudence. Schmitt’s main postwar work, Nomos der Erde, puts forward an influential view of the history of international law as inextricably entangled with the imperial pretensions. This chapter argues that the much-cited book, together with Schmitt’s polemical concept of law and his critiques of the discriminatory concept of war, has proven a fruitful basis for much of today’s postcolonial jurisprudence.
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Vernon, Martin J. Advance care planning for an ageing population. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198802136.003.0005.

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Population ageing is driven by declining fertility and improved life expectancy. As people survive to later life with multiple long-term conditions, advance care planning ACP) is of increasing importance to those wishing to retain control over their end-of-life care. Understanding disability trajectories for people can assist with advance care planning, mindful that older people living with frailty have increased risk of acute and unexpected health decline. Routine frailty identification by severity in older people can prompt care planning in anticipation of health decline and imminent lost capacity to make important decisions. Recognizing potential professional and organizational barriers to advance carer planning for older people could also improve its uptake. Guided serious illness conversations could assist this process over time for older people and those important to them. In care homes and among people with dementia ACP is also likely to be beneficial.
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Nguyen, Kim-Phuong, and Chris D. Glover. Anesthetic Considerations for Scoliosis Repair. Edited by Erin S. Williams, Olutoyin A. Olutoye, Catherine P. Seipel, and Titilopemi A. O. Aina. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190678333.003.0032.

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Scoliosis is an anatomical deformity caused by a lateral and rotational shift in the thoracolumbar spine. Surgical correction involves wide exposure of the spine for placement of stabilizing rods and can result in significant complications from excessive blood loss and neurologic impairments. These procedures require vigilance to acid-base status, hemodynamic fluctuations, coagulation, temperature maintenance, and neurologic monitoring from anesthesiologists. Other major anesthetic considerations discussed include maintaining the integrity of perfusion to the spinal cord, positioning concerns, optimal technique for neuromonitoring, and pain control in the perioperative period. This chapter presents a case study of a 14-year-old girl with adolescent idiopathic scoliosis who presents for posterior spinal instrumentation and fusion from T4-L4 with autologous bone graft.
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Guthrie, Graeme. Narrowing the Gap. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190641184.003.0004.

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Manager-shareholder conflict arises due to low levels of managerial ownership and the resulting wide separation of ownership and control. However, strong boards of directors can make even small ownership stakes more effective at motivating executives to work in shareholders’ best interests by granting stock options, repurchasing shares, and issuing debt. Ultimately they can approve a leveraged buyout, although a strong board is needed to overcome the conflicts of interest involved in management-led buyouts. This chapter uses events at HCA, the for-profit hospital chain that undertook the world’s largest leveraged buyout followed a few years later by the largest private equity IPO, to explain how boards can narrow the gap between ownership and control. It uses a novel representation of a firm’s capital structure to analyze the techniques for boosting ownership-generated incentives at relatively low cost to shareholders.
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Guillery, Ray. Thalamic higher-order driver inputs as sensorimotor links. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806738.003.0009.

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This chapter provides a closer look at the branching patterns of driver inputs to higher-order thalamic nuclei, and introduces their functional significance for discussion in later chapters. Their thalamic branches bring information for relay to higher cortical levels, including a copy of the information carried in the motor branches about anticipated cortical contributions to the control of actions and consequent changes in perceptions. In this way, the cortex can add to the control of an action when there is a mismatch between action and perception. Most of these branched axons that have so far been described come from early sensory areas and only a few from other, higher areas have been studied. These branching inputs are a part of the hierarchy of cortical areas that provide an opportunity for higher areas to monitor lower areas and, when needed, contribute to the motor control of the phylogenetically older brainstem and spinal centres. A far more extensive review of the branched thalamic driver inputs and their contributions to the control of actions than we have at present will be crucial for understanding the full complexity of the thalamic relay.
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Venner, Anne, and Patrick M. Fuller. An overview of sleep–wake circuitry. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0005.

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How and when we wake and sleep are under the control of incredibly complex neural circuitry, consisting of neuronal populations (or nodes), neurotransmitters, and pathways that form orchestrated wake- or sleep-promoting networks. When any aspect of this neural circuitry is impaired (e.g. disease) or altered by external factors (e.g. stress), sleep and wake can be disrupted, sometimes quite profoundly. As one example, selective loss of orexin neurons in the lateral hypothalamus results in the sleep disorder narcolepsy. While our understanding of how discrete circuit elements in the brain work together to regulate wake and sleep remains incomplete, the relatively recent development of genetically driven tools and techniques has enabled a far more detailed understanding of the functional and structural basis of this circuitry. In this chapter, we review the current state of our understanding of the brain circuitry regulating sleep and wake, including how disruption of discrete circuit elements underlies a myriad of sleep- and wake-disorders.
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Elwood, Mark. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0001.

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This chapter shows the plan of the book. Later chapters will cover the definition of causation, study designs that can demonstrate causation, how results are presented, the interpretation of studies stressing the non-causal explanations of observation bias, confounding, and chance variation. Then come positive aspects of causation, the Bradford-Hill principles, systematic reviews and meta-analyses, and an overall scheme for assessing studies and diagnosing causation. Further chapters present appraisals of six published studies: randomised trials, cohort studies, and case-control studies. An appendix presents statistical methods with examples.
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Book chapters on the topic "Lateral car control"

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Saleh, Louay, Philippe Chevrel, and Jean-François Lafay. "Optimal Control with Preview for Lateral Steering of a Passenger Car: Design and Test on a Driving Simulator." In Time Delay Systems: Methods, Applications and New Trends, 173–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25221-1_13.

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Schaeffner, Maximilian, Christopher M. Gehb, Robert Feldmann, and Tobias Melz. "Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model." In Lecture Notes in Mechanical Engineering, 173–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_15.

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AbstractMathematical models are commonly used to predict the dynamic behavior of mechanical structures or to synthesize controllers for active systems. Calibrating the model parameters to experimental data is crucial to achieve reliable and adequate model predictions. However, the experimental dynamic behavior is uncertain due to variations in component properties, assembly and mounting. Therefore, uncertainty in the model parameters can be considered in a non-deterministic calibration. In this paper, we compare two approaches for a non-deterministic parameter calibration, which both consider uncertainty in the parameters of a beam-column model. The goal is to improve the model prediction of the axial load-dependent lateral dynamic behavior. The investigation is based on a beam-column system subjected to compressive axial loads used for active buckling control. A representative sample of 30 nominally identical beam-column systems characterizes the variations in the experimental lateral axial load-dependent dynamic behavior. First, in a forward parameter calibration approach, the parameters of the beam-column model are calibrated separately for all 30 investigated beam-column systems using a least squares optimization. The uncertainty in the parameters is obtained by assuming normal distributions of the separately calibrated parameters. Second, in a Bayesian inference parameter calibration approach, the parameters are calibrated using the complete sample of experimental data. Posterior distributions of the parameters characterize the uncertain dynamic behavior of the beam-column model. For both non-deterministic parameter calibration approaches, the predicted uncertainty ranges of the axial load-dependent lateral dynamic behavior are compared to the uncertain experimental behavior and the most accurate results are identified.
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Shirima, Kelvine C., and Claude G. Mung'ong'o. "Agroecosystems' resilience and social-ecological vulnerability index to climate change in Kilimanjaro, Tanzania." In Climate change impacts and sustainability: ecosystems of Tanzania, 34–43. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0034.

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Abstract The concept of resilience has gained momentum during the current climate change era. Resilience is said to be the measure of the amount of change the system can undergo while still retaining the same controls on function and structure. Taking into account the effects of changing climate, the term resilience has been used to assess the vulnerability of social-ecological systems. Most agroecosystem studies have focused on dryland ecosystems and this prompted the need to shift concern on to mountainous ecosystems whose susceptibility to climate change is not adequately addressed. This chapter assesses the resilience of maize-coffee-banana agroecosystems on the southern slope of Mount Kilimanjaro in Tanzania. Also, it assesses agronomic practices and the social-economic status of farmers and computes a social-ecological vulnerability index for the ecosystem. The study depicts variation of agronomic practices with altitude due to microclimatic differences, terrain and soil characteristics that determine the type of crops and their farming system which have both positive and negative implications. Climatic shocks (e.g. drought frequency, floods and below average rains) were found to have an impact on agricultural yield. Social-economic indicators (e.g. the number of household dependants, social safety nets, off-farm contribution, possession of land title, usage of wood for cooking energy and access to extension services) have also shown a significant influence on household vulnerability to changing climate which may later affect the agroecosystem productivity as these parameters are associated with the natural environment. Indicators chosen for the vulnerability index depict slight variations of vulnerability altitude wise, except for the mid-lower zone which appears to be more vulnerable.
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Wagner-Sonntag, Edith. "Control of symptoms: dysphagia." In Palliative Care in Amyotrophic Lateral Sclerosis, 91–106. Oxford University Press, 2014. http://dx.doi.org/10.1093/acprof:oso/9780199686025.003.0007.

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Wagner-Sonntag, Edith, and Mario Prosiegel. "Control of Symptoms: Dysphagia." In Palliative Care in Amyotrophic Lateral Sclerosis, 95–110. Oxford University Press, 2006. http://dx.doi.org/10.1093/acprof:oso/9780199212934.003.0007.

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Goldstein, Laura H. "Control of symptoms: cognitive dysfunction." In Palliative Care in Amyotrophic Lateral Sclerosis, 107–26. Oxford University Press, 2014. http://dx.doi.org/10.1093/acprof:oso/9780199686025.003.0008.

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Goldstein, Laura. "Control of Symptoms: Cognitive Dysfunction." In Palliative Care in Amyotrophic Lateral Sclerosis, 111–28. Oxford University Press, 2006. http://dx.doi.org/10.1093/acprof:oso/9780199212934.003.0008.

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Osafo, Newman, David Darko Obiri, Oduro Kofi Yeboah, and Prince Amankwah Baffour Minkah. "Amyotrophic Lateral Sclerosis." In Advances in Medical Diagnosis, Treatment, and Care, 322–46. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5282-6.ch015.

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Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder (ND) that primarily comprises the neurons responsible for controlling voluntary muscle movement. The unique neuropathologic findings include anterior horn cell degeneration producing muscle atrophy or amyotrophy, degeneration, and sclerosis of the corticospinal tracts. It is a common neuromuscular disease worldwide and has been identified in people of all races. There seems to be neither identified risk factors nor family history associated with most of the documented ALS cases. There exists no treatment for ALS that can prevent neither its progression nor reverse its development. However, there are treatments available that can help control symptoms, prevent unnecessary complications, and make living with the disease easier. This chapter extensively discusses this neurodegenerative disorder based on the currently available knowledge on the condition.
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Lyall, Rebecca, and Deborah Gelinas. "Control of Symptoms: Dyspnoea and Respiratory Symptoms." In Palliative Care in Amyotrophic Lateral Sclerosis, 63–94. Oxford University Press, 2006. http://dx.doi.org/10.1093/acprof:oso/9780199212934.003.0006.

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Borasio, Gian Domenico, and David Oliver. "Control of Symptoms: Other Symptoms (including depression)." In Palliative Care in Amyotrophic Lateral Sclerosis, 129–42. Oxford University Press, 2006. http://dx.doi.org/10.1093/acprof:oso/9780199212934.003.0009.

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Conference papers on the topic "Lateral car control"

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Jordan, Navarro, Mars Franck, and Hoc Jean-Michel. "Lateral control support for car drivers." In the 14th European conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1362550.1362601.

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Wu, Liaoni, Yimin Huang, and ChengLong He. "Lateral-Direction Control via Reaction Control System." In 2009 International Asia Conference on Informatics in Control, Automation and Robotics (CAR). IEEE, 2009. http://dx.doi.org/10.1109/car.2009.62.

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Vempaty, Smitha, and Yuping He. "A Review of Car-Trailer Lateral Stability Control Approaches." In WCX™ 17: SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2017. http://dx.doi.org/10.4271/2017-01-1580.

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Liu, Mengke, S. Rathinam, and S. Darbha. "Lateral Control of an Autonomous Car with Limited Preview Information." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8796007.

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Lee, Eungkil, Tao Sun, and Yuping He. "Lateral Stability Analysis for Car-Trailer Combinations." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65648.

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This paper presents a parametric study of linear lateral stability of a car-trailer (CT) combination in order to examine the fidelity, complexity, and applicability for control algorithm development for CT systems. Using MATLAB software, a linear yaw-roll model with 5 degrees of freedom (DOF) is developed to represent the CT combination. In the case of linear stability analysis, a parametric study was carried out using eigenvalue analysis based on a linear yaw-roll CT model with varying parameters. Built upon the linear stability analysis, an active trailer differential braking (ATDB) controller was designed for the CT system using the linear quadratic regulator (LQR) technique. The simulation study presented in this paper shows the effectiveness of the proposed LQR control design and the influence of different trailer parameters.
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Chaibet, Ahmed, Moussa Boukhnifer, and Cherif Larouci. "State estimation for integrated longitudinal and lateral car following control." In 2009 IEEE International Conference on Control Applications (CCA). IEEE, 2009. http://dx.doi.org/10.1109/cca.2009.5281127.

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Zhou, Shuwen, Siqi Zhang, Guangyao Zhao, and Chuanyin Tang. "Lateral Stability Control of Car-Trailer Combination Based on 4WS." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.123.

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Cavallo, A., C. Natale, and P. Capasso. "Robust output feedback control for the lateral dynamics of a railway car." In 2003 European Control Conference (ECC). IEEE, 2003. http://dx.doi.org/10.23919/ecc.2003.7085322.

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Ghaffari, Ali, Bahar Gharehpapagh, Alireza Khodayari, and Saeed Salehinia. "Longitudinal and lateral movement control of car following maneuver using fuzzy sliding mode control." In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE). IEEE, 2014. http://dx.doi.org/10.1109/isie.2014.6864602.

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Huang, Mengzhe, Mingyu Zhao, Parthiv Parikh, Yebin Wang, Kaan Ozbay, and Zhong-Ping Jiang. "Reinforcement Learning for Vision-Based Lateral Control of a Self-Driving Car." In 2019 IEEE 15th International Conference on Control and Automation (ICCA). IEEE, 2019. http://dx.doi.org/10.1109/icca.2019.8900002.

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Reports on the topic "Lateral car control"

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Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, January 2020. http://dx.doi.org/10.4271/2019-32-0572.

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Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can cope with running conditions that lose contact with the front wheels or rear wheels so-called "endo" and "wheelie", which often occur during running with large acceleration or deceleration assuming a race. For the control inputs to the vehicle, we incorporated the lateral shift of the rider's center of gravity in addition to the normally used inputs such as the steering angle, throttle position, and braking force. We compared the performance of the new model with that of the conventional model under constant radius cornering and straight braking, as well as complex braking and acceleration in a single (hairpin) corner that represented a racing run. The results showed that the new rider model outperformed the conventional model, especially in the wider range of running speed usable for a simulation. In addition, we compared the simulation results for complex braking and acceleration in a single hairpin corner produced by the new model with data from an actual race and verified that the new model was able to accurately simulate the run of actual MotoGP riders.
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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.

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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-based sensors. ERDC-developed algorithms automatically discretize the pavement surface into cross- and grid-based sections to identify physical surface distresses such as depressions, ruts, and cracks. Depressions can be sized from the point-to-point distances bounding each depression, and surface roughness is determined based on the point heights along a given cross section. Noted distresses are exported to a distress map file containing only the distress points and their locations for later visualization and quality control along with classification and quantification. Further research and automation into point cloud analysis is ongoing with the goal of enabling Soldiers with limited training the capability to rapidly assess pavement surface condition from a remote platform.
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