Relevant bibliographies by topics / Bang-Bang Controller

Contents

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

Academic literature on the topic 'Bang-Bang Controller'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Bang-Bang Controller"

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Labh, Shacheendra Kishor, Rishav Khanal, and Chirenjivi Dahal. "Comparative Analysis of Performance of Antilock Braking System using PID and Fuzzy controllers." OODBODHAN 8 (July 8, 2025): 135–42. https://doi.org/10.3126/oodbodhan.v8i1.81260.

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The Antilock Braking System (ABS) is a crucial safety feature in modern vehicles which prevents wheel lock-up during braking and maintains steerability. The non-linear behavior of different road conditions makes it difficult to predict the optimal brake forces to be applied to minimize the stopping distance and maintain steerability. Control techniques play a crucial role in the optimization of the performance of ABS. This study explores various control strategies, including Bang-Bang, Proportional – Integral – Derivative (PID), and Fuzzy Logic controllers, to enhance the effectiveness of ABS by developing a mathematical and MATLAB/Simulink model of the components. The parameters to be controlled are optimal slip and brake pedal force based on the input parameters which are slip, road condition, coefficient of friction and wheel acceleration. Results indicate that the Fuzzy controlled ABS causes the vehicle stop after about 12.9 sec which is 24.11 % faster than vehicle without ABS and 7.8% faster than vehicle with Bang-Bang controller. The PID controlled ABS causes the vehicle stop after about 12.7 sec which is 25.29 % faster than vehicle without ABS and 9.2% faster than vehicle with Bang-Bang controller and 1.5 % faster than Fuzzy controller. While Bang-Bang control offers simplicity, it lacks precision and efficiency compared to PID and Fuzzy Logic approaches. However, the PID controller demonstrates superior performance, striking a balance between stability and responsiveness. Overall, the PID and Fuzzy controllers exhibit notable advancements in ABS control, ensuring safer braking and enhanced vehicle steerability.
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Bae, Jong-Il. "A Study on The Bang-Bang Controller Applied to Electrical Vehicle." Transactions of The Korean Institute of Electrical Engineers 65, no. 6 (2016): 1089–94. http://dx.doi.org/10.5370/kiee.2016.65.6.1089.

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DeSantis, R. M., and S. Krau. "Bang bang motion control of a Cartesian crane." Robotica 12, no. 5 (1994): 449–54. http://dx.doi.org/10.1017/s0263574700018002.

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SUMMARYA motion controller for an overhead Cartesian crane in three-dimensional Euclidean (3-D) space is designed under the constraint that the control action belong to a discrete set of assigned values. The design approach rests upon a two-step procedure: first, a constraintfree motion controller is determined that satisfies the required dynamic specifications; second, this controller is replaced with an equivalent controller satisfying the discrete action constraint. The first step is implemented by means of a heuristic 3-D extension of a well-proven 2-D controller, the second step by applying recent sliding mode results. Numerical simulations illustrate the properties of the resulting feedback system under both nominal and perturbed operating conditions.
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Ojo, Babajide Adelaja, and Najeem Olawale Adelakun. "Implementation of four-wheel antilock braking system for commercial vehicle using bang-bang controller." International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE) 3, no. 6 (2022): 1–7. https://doi.org/10.5281/zenodo.7261783.

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The need for safety equipment that can prevent the wheels of a vehicle from locking up under emergency or harsh braking conditions has prompted the need for the AntiLock Braking System (ABS). However, The Anti-Lock Braking System helps the driver to maintain steering ability and also to avoid skidding while braking. This paper proposes an implementation of a four-wheel antilock braking system (ABS) for vehicle speed estimation using a Bang-bang controller. This will provide greater vehicle stability and control during lock-up to the drivers, reduce stopping distance, and most importantly reduce the collision rate to a lower percentage. The simulation was carried out using MATLAB/SIMULINK to achieve the desired slip ratio with the control scheme using the Bang-Bang controller. Graphs of velocity speed, rotational speed, stopping distance, braking torque for a system without an anti-lock braking system and Bang-bang controller was plotted and compared with each other. The performance of vehicle braking Bang-Bang controller was analysed with Bang-Bang controller mode and the result shows that the ABS with Bang-Bang controller will significantly help the driver to steer while braking heavily and could prove to be lifesaving.
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Kanwale, Vaibhav M., Avinash B. Shinde, and N. Vivekanandan. "Comparative Analysis of Controller Effect on Anti-lock Braking System Performance using MATLAB/ Simulink." Journal of Automation and Automobile Engineering 9, no. 2 (2024): 18–42. http://dx.doi.org/10.46610/joaaen.2024.v09i02.003.

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Active safety features aim to avoid or reduce road accidents, in contrast to passive safety features, which are meant to protect occupants after a collision. An Anti-lock Braking System (ABS) is a category of active safety breaking that stops the wheels from locking during a braking action, keeping them in contact with the ground. Different researchers have proposed various control methods for developing the ABS controller. A controller is effective if it reduces stopping distance and time and maintains the desired slip ratio. In this research paper, a quarter-vehicle model is utilized to evaluate the effect of the controller on the Anti-lock Braking System (ABS) and study longitudinal braking dynamics. The Bang-bang controller, Proportional Integral Derivative (PID) controller and the Fuzzy Logic (FL) controller for the ABS were modelled in MATLAB/ Simulink software. A feedback controller that abruptly flips between the two states is called a bang-bang controller, also called an on-off, two-step, or hysteresis controller. PID (Proportional - Integral - Derivative) parameters were obtained using the Ziegler Nichols tuning Method. A comparative analysis of the controllers concerning braking distance, braking time, and normalized relative slip was performed. ABS with the Fuzzy Logic (FL) controller outperforms both the Proportional - Integral - Derivative (PID) and bang-bang controllers.
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Chen, Hao. "An Automation Fuzzy Switching Bang-Bang Controller for Industrial Applications." Applied Mechanics and Materials 52-54 (March 2011): 1997–2002. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1997.

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In this paper, a fuzzy switching bang-bang controller-based theoretical bang-bang was designed and implemented in the laboratory and its effectiveness in tracking application has been verified. The key advantage is the ease of the design and flexibility. The ability of the fuzzy bang-bang controller to achieve the tracking process with a high degree of accuracy, even in the presence of external disturbance was illustrated. The sensitivity of the proposed controller to rapid load changes in the external load was verified, and very promising results were observed. Experimental results confirmed the effectiveness of the proposed controller in position tracking and robustness to system parameter variations. The fuzzy switching bang-bang controller showed definite promise for this application due to the ability to combine many control laws together in a simple, intuitive manner.
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Hackl, Christoph, and Stephan Trenn. "The bang-bang funnel controller: An experimental verification." PAMM 12, no. 1 (2012): 735–36. http://dx.doi.org/10.1002/pamm.201210356.

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Lakhemaru, Prashant, and Surya Prasad Adhikari. "Design and Analysis of Vehicle Anti-Lock Braking System with Fuzzy Logic, Bang-Bang and PID Controllers." Himalayan Journal of Applied Science and Engineering 3, no. 1 (2022): 8–17. http://dx.doi.org/10.3126/hijase.v3i1.46941.

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In this study, a mathematical model of Anti-Lock Braking System (ABS) has been developed and simulated in MATLAB/Simulink environment using bang-bang, fuzzy logic and PID controllers. The controllers were used to control the braking force to be applied based on various parameters like relative slip, road condition and coefficient of friction between road and tire. The simulated result was compared and analyzed. The simulation result showed that a PID controller would take 9.665 seconds to stop the vehicle at the distance of 434.902 ft at an initial velocity of 88 ft/s. The Fuzzy Logic, Bang-Bang and no controllers offered 935.298 ft at 16.76 seconds, 696.996 ft at 13.751 seconds and 1421.327 ft at 24.217 seconds, respectively for the same initial velocity and road surface. From analysis, it was concluded that the PID controller had better performance compared to fuzzy logic and bang-bang controllers for application of ABS in a vehicle.
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Srikanth, Ajith, Siddhartha De, and Nehaa V. "Comparison between Bang-Bang, PID and LQR Controller for Electrical Discharge Machining Process." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1194–203. http://dx.doi.org/10.22214/ijraset.2022.45487.

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Abstract: During the Electric Discharge Machining process, ensuring that there is the appropriate amount of spark gap between the tool and the workpiece is one of the most important factors in determining how well the machine will perform. With the assistance of Simulink models, this work will compare the effects of a Bang-Bang Controller, a Proportional-Integral-Derivative (PID) Controller, and a Linear Quadratic Regulator (LQR) Controller on a dynamic EDM process. Through the use of simulation, it was possible to observe the effectiveness of each controller in correctly maintaining the spark gap distance. This effectiveness was then used to determine the approximate values by which the controller could be implemented on the physical EDM setup. In light of the fact that the EDM is a model of a non-linear process, it has been established beyond a reasonable doubt that LQR is the controller of choice for this process. The various controllers for the EDM Process Model were compared, and supporting graphs are provided to strengthen the claims made in the article.
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Goh, Yin Lee, Agileswari K. Ramasamy, Farrukh Hafiz Nagi, and Aidil Azwin Zainul Abidin. "DSP based overcurrent relay using fuzzy bang–bang controller." Microelectronics Reliability 51, no. 12 (2011): 2366–73. http://dx.doi.org/10.1016/j.microrel.2011.07.025.

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Dissertations / Theses on the topic "Bang-Bang Controller"

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Vikgren, Mattias. "Development and testing of controller that introduces the functionality to lift the second front axle on a heavy vehicle." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301633.

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The transition to more environmentally sustainable transports, as well as rising fuel prices create a demand for efficient means of transportation. Liftable axles have shown potential to save fuel and reduces tire wear on heavy vehicles. This thesis proposes a simulation environment and a control method for the electronically controlled air suspension system on a four axle truck that enables axle lifting. The goal of the work is to propose a control method that fulfills certain safety criteria and is robust to disturbances introduced by an external un-modeled controller. A simulation environment is proposed, based upon two different physical models of the suspension system. The first model offers simplicity for the initial tuning of the controller and the second model serves as a platform for more realistic testing of the controller before the final vehicle test. The results from the vehicle tests show that the proposed controller is able to regulate the pressure in the suspension bellows to the desired load distribution between the axles of the vehicle, while the vehicle is maintaining a certain height above ground. The vehicle test showed that it was difficult to read the correct pressure in the suspension bellows when the valves controlling the airflow in and out of the suspension bellow were open. A method for compensating the error when the valves are open is proposed.<br>Övergången till hållbara och miljövänliga transporter samt stigande bränslepriser skapar en efterfrågan av mer effektiva transportmedel. Lyftbara axlar har visats medföra minskad bränsleförbrukning och däckslitage. Denna uppsats föreslår en simuleringsmiljö samt en metod för reglering av det elektroniskt styrda luftfjädringssystemet på en fyraxlig lastbil som möjliggör lyftning av en axel. Målet med arbetet är att föreslå en metod för reglering av systemet som uppfyller en rad säkerhetskriterier och är robust för störningar introducerade av en extern, icke-modellerad styrenhet. Den föreslagna simuleringsmiljön är baserad på två olika fysiska modeller av fjädringssystemet. Den första modellen karakteriseras av dess enkelhet och används för inledande testning och justering av regulatorn. Den andra modellen används för mer realistisk testning av regulatorn innan det avslutande fordonstestet. Resultatet från fordonstesterna visar att den föreslagna regulatorn kan reglera trycket i luftbälgen till den önskade lastfördelningen mellan axlarna på fordonet medan dess höjd bibehålls. Under fordonstestet konstaterades att det inte gick att avläsa det korrekta trycket i luftbälgen när ventilerna som styr luftflödet till och från luftbälgen var öppna. En metod för att kompensera felet som uppstår när ventilerna är öppna föreslås.
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Oda, Eduardo. "Fenômeno Fuller em problemas de controle ótimo: trajetórias em tempo mínino de veículos autônomos subaquáticos." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45132/tde-05052009-111117/.

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As equações do modelo bidimensional de veículos autônomos subaquáticos fornecem um exemplo de sistema de controle não linear com o qual podemos ilustrar propriedades da teoria de controle ótimo. Apresentamos, sistematicamente, como os conceitos de formalismo hamiltoniano e teoria de Lie aparecem de forma natural neste contexto. Para tanto, estudamos brevemente o Princípio do Máximo de Pontryagin e discutimos características de sistemas afins. Tratamos com cuidado do Fenômeno Fuller, fornecendo critérios para decidir quando ele está ou não presente em junções, utilizando para isso uma linguagem algébrica. Apresentamos uma abordagem numérica para tratar problemas de controle ótimo e finalizamos com a aplicação dos resultados ao modelo bidimensional de veículo autônomo subaquático.<br>The equations of the two-dimensional model for autonomous underwater vehicles provide an example of a nonlinear control system which illustrates properties of optimal control theory. We present, systematically, how the concepts of the Hamiltonian formalism and the Lie theory naturally appear in this context. For this purpose, we briefly study the Pontryagin\'s Maximum Principle and discuss features of affine systems. We treat carefully the Fuller Phenomenon, providing criteria to detect its presence at junctions with an algebraic notation. We present a numerical approach to treat optimal control problems and we conclude with an application of the results in the bidimesional model of autonomous underwater vehicle.
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Martinon, Pierre. "Resolution numerique de problemes de controle optimal par une methode homotopique simpliciale." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2005. http://tel.archives-ouvertes.fr/tel-00011416.

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On s'interesse ici a la resolution numerique de problemes de controle optimal peu reguliers. On utilise a la base les methodes dites indirectes, a la fois precises et rapides, mais en pratique tres sensibles a l'initialisation. Cette difficulte nous amene a utiliser une demarche homotopique, dans laquelle on part d'un probleme apparente plus facile a resoudre. Le "suivi de chemin" de l'homotopie connectant les deux problemes est ici realise par un algorithme de type simplicial. On s'interesse en premier lieu a un probleme de transfert orbital avec maximisation de la masse utile, puis a deux problemes d'arcs singuliers. Les perspectives futures liees a ces travaux comprennent en particulier l'etude de problemes a contraintes d'etat, egalement delicats a resoudre par les methodes indirectes. Par ailleurs, on souhaite comparer cette approche avec les methodes directes, qui impliquent la discretisation totale ou partielle du probleme.
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HE, WEI-CHANG, and 何維長. "Bang-bang-sliding-mode controller design for robotic manipulators." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/17689921770883614523.

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Wang, Der-Hwa, and 王德華. "Fuzzy Bang-Bang Controller For Optimal Time And Minimum Chattering Servo System." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/78907320303233477155.

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碩士<br>淡江大學<br>資訊工程研究所<br>81<br>In modern industrial control application there are many situations in which the control objective is to move actuator from one point in space to another and to settle as quickly and accurately as possible at the point, while the control effort is kept within some limited value. Therefore , it is usually necessary to design two tracking controllers for the sysetm to accomplish large movements. During the first stage, when the actuator is undergoing large accessing motion, the control algorithm may be designed by using the classical time optimal control with constraint the control effort. As the actuator comes close to target position , the controller is switched to a regulation stage, The method is to eliminate the chattering and steady state error common to the classical time optimal Bang-Bang controller. In this paper a new method for nonlinear saturated control is proposed. The method is based on the classical time optimal Bang-Bang control. By preserving the time optimal characteristics of the classical Bang-Bang control, the chattering and steady offset problem will be avoided by the new method. A fuzzy controller is utilized for the controller implememtation. The method is inherently robust. The proposed controller "Optimal Path Estimation Method (OPEM)" emerges from the concept of sucessively suppressing dimensions of the state space and decreasing control effort value. The feedback signal for the fuzzy logic controller is based on the distance from the present state to the switching curve along the optimal trajectory, and from the switching curve to the original point of phase plan. The advantages of proposed method over traditional Bang-Bang control method are illustrated by numerical simulations of a servomotor system.
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Books on the topic "Bang-Bang Controller"

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Hartquist, T. W. The chemically controlled cosmos: Astronomical molecules from the big bang to exploding stars. Cambridge University Press, 1995.

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Hartquist, T. The Chemically Controlled Cosmos: Astronomical Molecules from the Big Bang to Exploding Stars. Cambridge University Press, 2008.

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Hartquist, T. W., and D. A. Williams. The Chemically Controlled Cosmos: Astronomical Molecules from the Big Bang to Exploding Stars. Cambridge University Press, 1996.

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Book chapters on the topic "Bang-Bang Controller"

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Liu, Yang, and Qing-Hua Wu. "Switching Control of Impulsively Disturbed Nonlinear Systems Based on Bang-Bang Constant Funnel Controller." In Power Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1039-7_1.

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Liu, Yang, and Qing-Hua Wu. "Observer-Based Robust Bang-Bang Funnel Controller and Its Stability in Closed-Loop Systems." In Power Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1039-7_2.

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Sylvester, Francis R., P. Lakshmi, and T. Yuvapriya. "Liquid Level Control of Nonlinear Process Using Big Bang–Big Crunch Optimization-Based Controller." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2674-6_9.

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Mukhtar, Mashood, Emre Akyürek, Tatiana Kalganova, and Nicolas Lesne. "Implementation of PID, Bang–Bang and Backstepping Controllers on 3D Printed Ambidextrous Robot Hand." In Studies in Computational Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33386-1_9.

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Fahira Haseen, S., and P. Lakshmi. "Improved Performance of Active Suspension System Using COA Optimized FLC for Full Car With Driver Model." In Advances in Computer and Electrical Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3735-6.ch013.

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Suspension in a vehicle is provided primarily to improve the passenger comfort and vehicle handling for the automobiles moving under any road conditions. Because of the non-linear characteristics of the vehicle, fuzzy logic controller (FLC) fed active suspension system is proposed for a full car with driver vehicle model. This controller dynamics are optimized by meta-heuristic optimization algorithm namely big bang–big crunch (BBBC) optimization and coyote optimization algorithm (COA). The passive system dynamics are compared with controller fed and optimized controller fed system under bump and random road inputs. The passive and active model is simulated in MATLAB/Simulink environment. The results are compared based upon root mean square values of head acceleration, body acceleration, pitch acceleration, roll acceleration, and power spectrum density of head acceleration. The results indicate that implementation of COA optimized FLC is effective in improving ride quality and road handling of the vehicle.
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Yusuf, Shahid. "China’s Macroeconomic Performance and Management during Transition." In Growth Without Miracles. Oxford University PressOxford, 2001. http://dx.doi.org/10.1093/oso/9780199240609.003.0008.

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Abstract Alone among the former socialist economies, China has led a charmed life. It was not by any means the first to experiment seriously with market institutions-that distinction belongs to Hungary. Nor did it attempt to ‘cross the chasm in a single leap’. Nor has China’s assimilation of market forms been buffered by a major infusion of resources, as in East Germany. Starting with the agriculture sector (Ash 1993), the country has transformed itself, a step at a time, always ensuring that each economic initiative passed the test of sociopolitical acceptability before it was widely implemented. Instead of a risky Big Bang, China’s reform can be most aptly described as a series of small controlled explosions, which maintained the momentum of change while minimising the risk of instability.
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"State 1–State 2 Transitions Controlled by Changes in Electrical Surface Charge by Phosphorylation of the Exposed N-terminus of a LHCII Protein." In The Big Bang of Evolution and the Engine of Life: Climbing a Mountain. WORLD SCIENTIFIC, 2020. http://dx.doi.org/10.1142/9789811205897_0007.

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Culliney, John L., and David Jones. "Ecology Emergent." In The Fractal Self. University of Hawai'i Press, 2017. http://dx.doi.org/10.21313/hawaii/9780824866617.003.0004.

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Ever since life’s debut on the earth, biotic evolution has been a near-balancing act. On virtually every level, competition and cooperation, shifting endlessly between foreground and background, have tugged and teased evolving systems as they have wobbled through time along the edge of chaos. The emergence of cellular life from the world of complex carbon-based chemistry appears to have happened only once in the primordial dreamtime of planet Earth. Scientists base this conjecture on a number of virtually universal distributions of chemical structures and processes across the spectrum of living organisms. Despite their perhaps tenuous hold on life, the earliest cells, primitive bacteria and archea, possessed the keys to the opening of new potential for matter and energy—the capabilities of self-replication, controlled energy transduction, directed locomotion, and the regulation of an internal environment. Out of this cellular Big Bang there arose a totally new force field on planet Earth superimposed over the physical, chemical, and geological, but with tendrils pervading all of those realms. It was the beginning of the biosphere. Life pervaded and began to transform the lithosphere, hydrosphere, and atmosphere. The chapter highlights transitions of prokaryote to eukaryote via endosymbiosis. Also featured are: biofilms, bioluminescence, coral reefs, and ecological succession.
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Mehta, Jal. "The Cultural Struggle for Control over Schooling: The Power of Ideas and the Weakness of the Educational Field." In The Allure of Order. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199942060.003.0004.

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How can we best understand the repeated eff orts to rationalize schools across the 20th century? Traditional approaches to explaining political phenomena—interest groups, institutions, partisan theories, and rational choice—are limited in their ability to explain this recurring impulse. Instead, a complementary set of cultural lenses—ideas, professions, fields, logics, moral power, and institutional vantage points—can shed more light on these repeated movements. Together, these perspectives also offer a different way of thinking about the nature of social and political contestation, one that is deeply cultural in its ontology and that integrates ideas, interests, and institutions, links the social and the political, and explains both continuity and change. In one sense, movements to “rationalize” schools have cycled across the 20th century. As will be discussed in more detail in the chapters to come, at three different times reformers have embraced the rationalization of schools. In the Progressive Era, a group of reformers, comprising mostly businessmen, city elites, and university professors, sought to shift power from large, local ward boards, which they viewed as parochial and unprofessional, to smaller boards controlled by professional elites. They made the superintendent the equivalent of the CEO of the school system and directed him to use the latest in scientific methods and modern management techniques to measure outcomes and to ensure that resources were being used efficiently to produce the greatest possible bang for the buck. The newly emerging science of testing was widely employed to ensure that teachers and schools were meeting standards and to sort students into appropriate tracks, with the aim of “efficiently” matching students with the curriculum appropriate to their ability. In the late 1960s and early 1970s, a second accountability movement sought to take hold of American schooling. Seeking to realize both a civil rights agenda of improving the quality of schooling and to satisfy more conservative concerns about the efficient spending of public dollars, state after state passed laws designed to inject greater accountability into the school system.
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Conference papers on the topic "Bang-Bang Controller"

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Kumar, Gaurav. "Adaptive Quasi bang-bang Controller for Structural Health Monitoring." In 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2025. https://doi.org/10.1109/ispcc66872.2025.11039434.

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V, Dankan Gowda, Preetish Kakkar, Priya Talawar, Madan Mohanrao Jagtap, Srinivas D, and KDV Prasad. "Design and Simulation of IoT-Enabled Bang-Bang Controller for Optimizing Vehicle Stopping Distance." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11035809.

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Yuan, Zijing, Yu Xin, Qianshui Yu, et al. "A 2.5mW Fully-Passive 2nd-Order Noise-Shaping Bang-Bang PLL with Adaptive DCO Gain Controller Achieving 305-fsrms Jitter and –246.3 dB FoM." In 2024 IEEE European Solid-State Electronics Research Conference (ESSERC). IEEE, 2024. http://dx.doi.org/10.1109/esserc62670.2024.10719475.

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Msaddi, Saleh, and Sabri Yilmaz. "Optimizing Fuzzy Logic Controller-Based Energy Management Systems for FCEVs via Genetic Algorithm and Big Bang-Big Crunch." In 2024 11th International Conference on Electrical and Electronics Engineering (ICEEE). IEEE, 2024. https://doi.org/10.1109/iceee62185.2024.10779229.

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Liberzon, Daniel, and Stephan Trenn. "The bang-bang funnel controller." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717742.

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Schoeman, R. M. "Embedded PI-bang-bang curing oven controller." In AFRICON 2011. IEEE, 2011. http://dx.doi.org/10.1109/afrcon.2011.6071977.

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O’Brien, Richard T., and Michael J. Robertson. "Bang-Bang Control of a Floating Oscillator." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2739.

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The objective of this paper is to use a simple bang-bang control law to create rest-to-rest command inputs for a floating oscillator. This work is motivated by previous work on bang-bang control for systems with two integrators. The advantage of the proposed bang-bang controller is its simplicity and robustness. The bangbang control signal switches between a maximum and minimum value once over the duration of the control signal. The amplitude and duration are computed from the desired move distance and the system parameters. The robustness of the proposed controller to model uncertainty is measured by the percent overshoot in the response once the system has reached the desired move distance. For the proposed controller, numerical simulations of the floating oscillator demonstrate that the robustness improves as the duration of the bang-bang command signal increases and that, given a fixed duration, a further improvement in robustness is obtained over a limited but significant range of uncertainty by using multiple switches within the duration of the bang-bang signal.
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8

Thongchet, Suriya, and Suwat Kuntanapreeda. "Fuzzy neural bang-bang controller for satellite attitude control." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Kevin L. Priddy, Paul E. Keller, and Peter J. Angeline. SPIE, 2001. http://dx.doi.org/10.1117/12.421158.

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9

Arambel, P. O., R. K. Mehra, B. Beeson, et al. "New generation high speed turret and pseudo bang-bang controller." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946252.

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10

Liberzon, Daniel, and Stephan Trenn. "The bang-bang funnel controller: time delays and case study." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669120.

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