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Journal articles on the topic 'Control effort'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Whalley, R., and M. Ebrahimi. "Process control with minimum control effort." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 213, no. 4 (1999): 275–89. http://dx.doi.org/10.1243/0954408991529889.

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2

Abrardi, Laura, and Carlo Cambini. "Incentivizing self-control effort." Journal of Economic Behavior & Organization 164 (August 2019): 13–30. http://dx.doi.org/10.1016/j.jebo.2019.05.030.

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3

Rossetti, D. J., M. R. Jolly, and S. C. Southward. "Control effort weighting in feedforward adaptive control systems." Journal of the Acoustical Society of America 99, no. 5 (1996): 2955–64. http://dx.doi.org/10.1121/1.414877.

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4

Dong, Ming Xiao, Bo Pang, Hui Liu, and Fan Bing Li. "Effect of Input Shaping on Actuator Effort of Inertial Plants." Key Engineering Materials 464 (January 2011): 138–41. http://dx.doi.org/10.4028/www.scientific.net/kem.464.138.

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Most motion control systems are designed to satisfy the performance requirement in transient and frequency domain. The actuator effort of the control system is rarely considered during the design process. This paper investigates the effects of input shaping on actuator effort of PD combined with input shaping control for an inertial plant subject to four standard types of inputs. The actuator efforts of the control systems are described in general fomula. The acting regulation of PD controller parameters on the oscillatory frequency and damping ratio of actuator effort is investigated and the

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5

Diot, C., and J. Le Boudec. "Control of best effort traffic." IEEE Network 15, no. 3 (2001): 14–15. http://dx.doi.org/10.1109/mnet.2001.923936.

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6

Balaguer, P. "Similar model reference adaptive control with bounded control effort." International Journal of Adaptive Control and Signal Processing 25, no. 7 (2011): 577–92. http://dx.doi.org/10.1002/acs.1222.

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7

MacMartin, Douglas G., and Ben Kravitz. "The Engineering of Climate Engineering." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (2019): 445–67. http://dx.doi.org/10.1146/annurev-control-053018-023725.

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While reducing anthropogenic greenhouse gas emissions remains the most essential element of any strategy to manage climate change risk, it is also in principle possible to directly cool the climate by reflecting some sunlight back to space. Such climate engineering approaches include adding aerosols to the stratosphere and marine cloud brightening. Assessing whether these ideas could reduce risk requires a broad, multidisciplinary research effort spanning climate science, social sciences, and governance. However, if such strategies were ever used, the effort would also constitute one of the mo

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8

Rinella, Matthew J., Bruce D. Maxwell, Peter K. Fay, Theodore Weaver, and Roger L. Sheley. "Control effort exacerbates invasive-species problem." Ecological Applications 19, no. 1 (2009): 155–62. http://dx.doi.org/10.1890/07-1482.1.

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9

Eisenberger, Robert, Maureen Mitchell, and Fred A. Masterson. "Effort training increases generalized self-control." Journal of Personality and Social Psychology 49, no. 5 (1985): 1294–301. http://dx.doi.org/10.1037/0022-3514.49.5.1294.

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10

McGee, Andrew, and Peter McGee. "Search, effort, and locus of control." Journal of Economic Behavior & Organization 126 (June 2016): 89–101. http://dx.doi.org/10.1016/j.jebo.2016.03.001.

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11

Elliott, S. J., and K. H. Back. "Effort constraints in adaptive feedforward control." IEEE Signal Processing Letters 3, no. 1 (1996): 7–9. http://dx.doi.org/10.1109/97.475821.

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12

Melnikov, Andrey A., Ekaterina S. Ikonnikova, Roman Kh Lyukmanov та Natalia A. Suponeva. "Проприоцептивный контроль мышц верхней конечности у спортсменов-самбистов". Journal of Medical and Biological Research, № 3 (20 вересня 2024): 329–37. http://dx.doi.org/10.37482/2687-1491-z203.

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High proprioceptive sensitivity is an important factor in the efficiency of technical elements and athletic performance in many sports. However, proprioceptive control of the positions of upper limb segments and muscle effort in wrestlers has hardly been investigated. The purpose of this article was to study the reproduction accuracy of hand position and muscle effort during discrete contraction and relaxation of the forearm muscles in sambo athletes. Materials and methods. The research involved young sambo wrestlers (n = 10) and nonathletes (control, n = 15). We evaluated the reproduction acc

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13

Nagahara, Masaaki, Daniel E. Quevedo, and Dragan Nesic. "Maximum Hands-Off Control: A Paradigm of Control Effort Minimization." IEEE Transactions on Automatic Control 61, no. 3 (2016): 735–47. http://dx.doi.org/10.1109/tac.2015.2452831.

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14

Adachi, Kazuhiko, Yoshifumi Awakura, and Takuzo Iwatsubo. "Active control effort of hybrid piezoelectric absorber for structural control." Applied Acoustics 65, no. 3 (2004): 277–92. http://dx.doi.org/10.1016/j.apacoust.2003.08.004.

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15

Young, Bradley, BJ Allaire, and Stephen Smith. "Achieving Sea Lamprey Control in Lake Champlain." Fishes 6, no. 1 (2021): 2. http://dx.doi.org/10.3390/fishes6010002.

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The control of parasitic sea lamprey in Lake Champlain has been a necessary component of its fishery restoration and recovery goals for 30 years. While adopting the approach of the larger and established sea lamprey control program of the Laurentian Great Lakes, local differences emerged that shifted management focus and effort as the program evolved. Increased investment in lamprey assessment and monitoring revealed under-estimations of population density and distribution in the basin, where insufficient control efforts went unnoticed. As control efforts improved in response to a better under

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16

Santoso, Wakhid Nanang, and Doddy Setiawan. "FAKTOR-FAKTOR YANG MEMPENGARUHI NIAT PENGGUNAAN APPROWEB OLEH ACCOUNT REPRESENTATIVE DIREKTORAT JENDERAL PAJAK." Jurnal Akuntansi 21, no. 2 (2017): 232. http://dx.doi.org/10.24912/ja.v21i2.197.

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This study aims to investigate the effect of performance expectancy, effort expectancy, social influence, web self efficacy, perceived security controls, and perceived enjoyment on the intention to use the approweb by account representative at the Directorate General of Taxation.The study employ web survey to collect data from account representative throughout Indonesia. There are 417 questionaire return from web survey.The results show that the performance expectancy, effort expectancy, social influence, perceived security control, and perceived enjoyment positively effect on the intention to

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17

Li, Wuquan, and Miroslav Krstic. "Prescribed-Time Control of Stochastic Nonlinear Systems with Reduced Control Effort." Journal of Systems Science and Complexity 34, no. 5 (2021): 1782–800. http://dx.doi.org/10.1007/s11424-021-1217-7.

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18

Chen, Weitian, Shitian Yan, Shaosheng Zhou, and Songjiao Shi. "Adaptive control of parametric-strict-feedback systems with reduced control effort." IFAC Proceedings Volumes 32, no. 2 (1999): 4588–93. http://dx.doi.org/10.1016/s1474-6670(17)56782-8.

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19

Strauss, Kevin A., Erik G. Puffenberger, and D. Holmes Morton. "One Community’s Effort to Control Genetic Disease." American Journal of Public Health 102, no. 7 (2012): 1300–1306. http://dx.doi.org/10.2105/ajph.2011.300569.

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20

Whalley, R., and M. Ebrahimi. "Process system regulation with minimum control effort." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 214, no. 4 (2000): 245–56. http://dx.doi.org/10.1243/0954408001530092.

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21

Dacic, Dragan B., Maksim V. Subbotin, and Petar V. Kokotovic. "Control Effort Reduction in Tracking Feedback Laws." IEEE Transactions on Automatic Control 51, no. 11 (2006): 1831–37. http://dx.doi.org/10.1109/tac.2006.883064.

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22

Eisenberger, Robert, and Michael Adornetto. "Generalized self-control of delay and effort." Journal of Personality and Social Psychology 51, no. 5 (1986): 1020–31. http://dx.doi.org/10.1037/0022-3514.51.5.1020.

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23

Whalley, R., and M. Ebrahimi. "Multivariable system regulation with minimum control effort." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 213, no. 6 (1999): 505–14. http://dx.doi.org/10.1243/0959651991540322.

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24

Blume, E. "Smoking Control Effort Moves to Second Phase." JNCI Journal of the National Cancer Institute 85, no. 21 (1993): 1720–21. http://dx.doi.org/10.1093/jnci/85.21.1720.

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25

Sachs, Jeffrey D. "A New Global Effort to Control Malaria." Science 298, no. 5591 (2002): 122–24. http://dx.doi.org/10.1126/science.1077900.

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26

Mussap, Alexander J., Emily Manger, and Ron S. Gold. "Weight-control effort can increase obesity stereotyping." Personality and Individual Differences 88 (January 2016): 178–81. http://dx.doi.org/10.1016/j.paid.2015.09.014.

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27

Lindner, D. K. "Distributing the Control Effort in Decentralized Systems." IFAC Proceedings Volumes 20, no. 9 (1987): 283–86. http://dx.doi.org/10.1016/s1474-6670(17)55720-1.

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28

Garrard, Georgia E., Alexander M. Kusmanoff, Richard Faulkner, et al. "Understanding Australia’s national feral cat control effort." Wildlife Research 47, no. 8 (2020): 698. http://dx.doi.org/10.1071/wr19216.

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Abstract Context. Feral cats (Felis catus) pose a significant threat to Australia’s native species and feral cat control is, therefore, an important component of threatened species management and policy. Australia’s Threatened Species Strategy articulates defined targets for feral cat control. Yet, currently, little is known about who is engaged in feral cat control in Australia, what motivates them, and at what rate they are removing feral cats from the environment. Aims. We aim to document who is engaging in feral cat control in Australia, how many cats they remove and to estimate the number

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29

Avenhaus, Rudolf, and D. Marc Kilgour. "Efficient distributions of arms-control inspection effort." Naval Research Logistics (NRL) 51, no. 1 (2003): 1–27. http://dx.doi.org/10.1002/nav.10096.

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30

Tilahun, Getachew Teshome. "Optimal Control Analysis of Pneumonia and Meningitis Coinfection." Computational and Mathematical Methods in Medicine 2019 (September 22, 2019): 1–15. http://dx.doi.org/10.1155/2019/2658971.

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In this paper, we proposed a deterministic model of pneumonia-meningitis coinfection. We used a system of seven ordinary differential equations. Firstly, the qualitative behaviours of the model such as positivity of the solution, existence of the solution, the equilibrium points, basic reproduction number, analysis of equilibrium points, and sensitivity analysis are studied. The disease-free equilibrium is locally asymptotically stable if the basic reproduction number is kept less than unity, and conditions for global stability are established. Then, the basic model is extended to optimal cont

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31

Gammell, Jonathan D., and Marlin P. Strub. "Asymptotically Optimal Sampling-Based Motion Planning Methods." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 295–318. http://dx.doi.org/10.1146/annurev-control-061920-093753.

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Motion planning is a fundamental problem in autonomous robotics that requires finding a path to a specified goal that avoids obstacles and takes into account a robot's limitations and constraints. It is often desirable for this path to also optimize a cost function, such as path length. Formal path-quality guarantees for continuously valued search spaces are an active area of research interest. Recent results have proven that some sampling-based planning methods probabilistically converge toward the optimal solution as computational effort approaches infinity. This article summarizes the assum

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32

Wulandari, Dyah Ari, Desyta Ulfiana, and Priyo Nugroho Parmantoro. "Analysis of Application of Sediment Trap in Rivers as An Effort Reservoir Sedimentation Control." MEDIA KOMUNIKASI TEKNIK SIPIL 26, no. 2 (2021): 229–36. http://dx.doi.org/10.14710/mkts.v26i2.28691.

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Reservoir sedimentation can be overcome by reducing the amount of sediment that enters the reservoir, by building check dam. The check dam has more deposited coarse sediment load than fine sediment load. Fine sediment that escapes the check dam will flow further and eventually enter the reservoir pond. Therefore it is necessary to build a building that can capture fine sediments. Construction is planned as a system of sediment trap in irrigation channels. The purpose of this study is to analyze the possibility of applying the sediment trap in the river to deposit sediments that escape the chec

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33

Baird, S. Christopher, and Dennis Wagner. "Measuring Diversion: The Florida Community Control Program." Crime & Delinquency 36, no. 1 (1990): 112–25. http://dx.doi.org/10.1177/0011128790036001008.

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The prison crowding crisis has caused many states to implement intensive community supervision programs in an attempt to divert convicted offenders from prison. The Florida Community Control Program (FCCP), which places offenders under house arrest or electronic survelliance, is the largest, best-established prison diversion effort in the United States. During the last six years, Florida courts have used objective guideline criteria to sentence more than 25,000 offenders to the community control program. This article describes an effort to evaluate the impact of the FCCP on prison crowding in

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34

Zhang, Junguang, Ruixia Shi, and Estrella Diaz. "Dynamic monitoring and control of software project effort based on an effort buffer." Journal of the Operational Research Society 66, no. 9 (2015): 1555–65. http://dx.doi.org/10.1057/jors.2014.125.

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35

Canário-Lemos, Rui, Victor Machado-Reis, Nuno Garrido, et al. "Control of the intensity of effort. heart rate or rate of perceived effort." Retos 49 (April 18, 2023): 35–42. http://dx.doi.org/10.47197/retos.v49.97762.

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Objective: the goal of the present study was to compare the oxygen uptake between three experimental sessions of the Air Bike PRO® class, which the difference between sessions was the method used to control intensity of effort: SL) external load corresponds to ventilatory thresholds and 90% peak VO2; SRPE) rate perceived effort; SHR) heart rate. Methods: Ten physically active young men aged between 21 and 30 years old (mean ± standard deviation: 25.4 ± 4.81) participated in 3 study sessions, where they performed 3 Air Bike PRO® classes, in a randomized way. VO2 was measured in all sessions dur

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36

Robertson, BD, NM Hiebert, KN Seergobin, AM Owen, and PA MacDonald. "Dorsal striatum mediates cognitive control, not cognitive effort per se, in decision-making: an event-related fMRI study." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 42, S1 (2015): S16. http://dx.doi.org/10.1017/cjn.2015.94.

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Background: Whether the dorsal striatum (DS) mediates cognitive control or cognitive effort per se in decision-making is unclear because as cognitive control requirements of a task intensify, cognitive effort requirements increase proportionately. We implemented a task that disentangled cognitive control and cognitive effort to specify the function DS mediates in decision-making. Methods: Sixteen healthy young adults completed a number Stroop task with simultaneous blood-oxygenation-level-dependent response (BOLD) measurement. Participants selected the physically larger number of a pair. Discr

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37

Logan, Lindsey M., Jennifer A. Semrau, Tyler Cluff, Stephen H. Scott, and Sean P. Dukelow. "Effort matching between arms depends on relative limb geometry and personal control." Journal of Neurophysiology 121, no. 2 (2019): 459–70. http://dx.doi.org/10.1152/jn.00346.2018.

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Proprioception encompasses our sense of position and movement of our limbs, as well as the effort with which we engage in voluntary actions. Historically, sense of effort has been linked to centrally generated signals that elicit voluntary movements. We were interested in determining the effect of differences in limb geometry and personal control on sense of effort. In experiment 1, subjects exerted either extension or flexion torques to resist a torque applied by a robot exoskeleton to their reference elbow. They attempted to match this torque by exerting an equal effort torque (in a congruen

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38

Dahroni, D. "Alternative Ways to Control Fertility in Indonesia." Forum Geografi 4, no. 2 (2014): 43. http://dx.doi.org/10.23917/forgeo.v4i2.4857.

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An effort for reducing fertility in developing countries like Indonesia, is a real initiative to decrease the population growth rate. The succes of family planning programme in reducing fertility of Indonesia, has been confessed by UNO, and as a result, president Suharto has been rewarded a United Nation Population Award. Besides it is considered to make another effort beyond family planning programmes, among other things are: to raise age of marriage, future cousciousness, moral, and health education. Those programmes can be carried out through formal and informal education as well. The aim o

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39

Bajpai, Shrish, and Naimur Rahman Kidwai. "Government’s Effort in Control Engineering Education in India." Comparative Professional Pedagogy 8, no. 1 (2018): 75–83. http://dx.doi.org/10.2478/rpp-2018-0010.

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AbstractPresent manuscript deals with the Indian government effort in making the control engineering education, an equal standard to any developed country. Control Engineering is an interdisciplinary field of engineering which has an ample number of applications in the almost every core engineering discipline. This is the field which uses the feedback system to get the appropriate performance of the system without any human interaction. Mathematical modelling for the system designs is now performed on the simulation tools. There are multiple steps taken for control-engineering education by the

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40

Tsiotras, Panagiotis, and Jihao Luo. "Reduced Effort Control Laws for Underactuated Rigid Spacecraft." Journal of Guidance, Control, and Dynamics 20, no. 6 (1997): 1089–95. http://dx.doi.org/10.2514/2.4190.

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41

Cos, Ignasi. "Perceived effort for motor control and decision-making." PLOS Biology 15, no. 8 (2017): e2002885. http://dx.doi.org/10.1371/journal.pbio.2002885.

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42

Tzoumas, V., M. A. Rahimian, G. J. Pappas, and A. Jadbabaie. "Minimal Actuator Placement With Bounds on Control Effort." IEEE Transactions on Control of Network Systems 3, no. 1 (2016): 67–78. http://dx.doi.org/10.1109/tcns.2015.2444031.

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43

Albertos, Pedro, Manuel Olivares, and Mario E. Salgado. "Trade-off Between Time Delays and Control Effort." IFAC Proceedings Volumes 33, no. 31 (2000): 287–91. http://dx.doi.org/10.1016/s1474-6670(17)37877-1.

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44

Liu, Shan-Lu. "New virus in China requires international control effort." Nature 577, no. 7791 (2020): 472. http://dx.doi.org/10.1038/d41586-020-00135-z.

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45

Burki, Talha Khan. "Smoke-free Sochi showcases Russia's tobacco control effort." Lancet Oncology 15, no. 3 (2014): 261. http://dx.doi.org/10.1016/s1470-2045(14)70074-9.

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46

Magdy, Moneeb A., and Tung Sang Ng. "Regulation and control effort in self-tuning controllers." IEE Proceedings D Control Theory and Applications 133, no. 6 (1986): 289. http://dx.doi.org/10.1049/ip-d.1986.0046.

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47

Kapur, P. K., and A. K. Bardhan. "Testing Effort Control Through Software Reliability Growth Modelling." International Journal of Modelling and Simulation 22, no. 2 (2002): 90–96. http://dx.doi.org/10.1080/02286203.2002.11442228.

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48

Torres, Sofia, Pierre-Philippe Robet, Yannick Aoustin, Maxime Gautier, and Jorge Martins. "Control of a Robot Axis with Effort Feedback." IFAC-PapersOnLine 55, no. 10 (2022): 2956–61. http://dx.doi.org/10.1016/j.ifacol.2022.10.181.

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49

Yamada, Shigeru, and Hiroshi Ohtera. "Software reliability growth models for testing-effort control." European Journal of Operational Research 46, no. 3 (1990): 343–49. http://dx.doi.org/10.1016/0377-2217(90)90009-z.

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50

Weaver, Richard G., Lynn Whittaker, Richard W. Valachovic, and Angela Broom. "Tobacco Control and Prevention Effort in Dental Education." Journal of Dental Education 66, no. 3 (2002): 426–29. http://dx.doi.org/10.1002/j.0022-0337.2002.66.3.tb03522.x.

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