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Bibliographies thématiques / Adaptive Nonlinear Controller Design / Livres

Livres sur le sujet « Adaptive Nonlinear Controller Design »

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Auteur : Grafiati

Publié le 6 septembre 2023

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1

Ioannis, Kanellakopoulos, et Kokotović Petar V, dir. Nonlinear and adaptive control design. New York : Wiley, 1995.

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2

Bromnick, P. A. Design of adaptive speed controller for rotating motor. Manchester : UMIST, 1993.

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3

Nonlinear control design : Geometric, adaptive, and robust. London : Prentice Hall, 1995.

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4

DeLonga, David M. A control system design technique for nonlinear discrete time systems. Woods Hole, Mass : Woods Hole Oceanographic Institution, 1988., 1988.

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5

Nassirharand, Amir. Computer-aided nonlinear control system design : Using describing function models. London : Springer, 2012.

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6

Tesar, Delbert. Dynamic modeling, property investigation, and adaptive controller design of serial robotic manipulators modeled with structural compliance. Austin, Tex : Dept. of Mechanical Engineering, University of Texas at Austin, 1990.

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7

Center, Ames Research, dir. Nonlinear system controller design based on domain of attraction : An application to CELSS analysis and control. Moffett Field, Calif : National Aeronautics and Space Administration, Ames Research Center, 1987.

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8

Ostroff, Aaron J. High-Alpha Research Vehicle (HARV) longitudinal controller : Design, analyses, and simulation results. Hampton, Va : National Aeronautics and Space Administration, Langley Research Center, 1994.

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9

Ostroff, Aaron J. High-alpha research vehicle (HARV) longitudinal controller : Design, analyses, and simulation results. Hampton : National Aeronautics and Space Administration, Langley Research Center, 1994.

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10

Ostroff, Aaron J. High-Alpha Research Vehicle (HARV) longitudinal controller : Design, analyses, and simulation results. Hampton, Va : National Aeronautics and Space Administration, Langley Research Center, 1994.

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11

Ostroff, Aaron J. High-Alpha Research Vehicle (HARV) longitudinal controller : Design, analyses, and simulation results. Hampton, Va : National Aeronautics and Space Administration, Langley Research Center, 1994.

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12

Zhu, Yang, et Miroslav Krstic. Delay-Adaptive Linear Control. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691202549.001.0001.

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Actuator and sensor delays are among the most common dynamic phenomena in engineering practice, and when disregarded, they render controlled systems unstable. Over the past sixty years, predictor feedback has been a key tool for compensating such delays, but conventional predictor feedback algorithms assume that the delays and other parameters of a given system are known. When incorrect parameter values are used in the predictor, the resulting controller may be as destabilizing as without the delay compensation. This book develops adaptive predictor feedback algorithms equipped with online estimators of unknown delays and other parameters. Such estimators are designed as nonlinear differential equations, which dynamically adjust the parameters of the predictor. The design and analysis of the adaptive predictors involves a Lyapunov stability study of systems whose dimension is infinite, because of the delays, and nonlinear, because of the parameter estimators. This book solves adaptive delay compensation problems for systems with single and multiple inputs/outputs, unknown and distinct delays in different input channels, unknown delay kernels, unknown plant parameters, unmeasurable finite-dimensional plant states, and unmeasurable infinite-dimensional actuator states. Presenting breakthroughs in adaptive control and control of delay systems, the book offers powerful new tools for the control engineer and the mathematician.

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13

Bean, Ronnie A. Nonlinear control of high performance aircraft. 1994.

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14

Kokotovic, Petar V., Miroslav Krstic et Ioannis Kanellakopoulos. Nonlinear and Adaptive Control Design. Wiley & Sons, Incorporated, John, 2008.

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15

Tagami, Shinsuke. A fast trajectory tracking adaptive controller for robot manipulators. 1993.

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16

National Aeronautics and Space Administration (NASA) Staff. Design of an Adaptive Controller for a Telerobot Manipulator. Independently Published, 2018.

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17

Zhao, Haiquan, et Badong Chen. Efficient Nonlinear Adaptive Filters : Design, Analysis and Applications. Springer International Publishing AG, 2023.

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18

Nassirharand, Amir. Computer-aided Nonlinear Control System Design. Springer, 2012.

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19

Taylor, Zachary Dean. Design of an adaptive velocity controller for a programmable four wheel vehicle. 1988.

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20

Nassirharand, Amir. Computer-aided Nonlinear Control System Design : Using Describing Function Models. Springer, 2014.

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21

Adaptive Multi-Layer LMS Controller Design and Its Application to Active Vibration Suppression on a Space Truss. Storming Media, 2001.

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22

Adaptive Multi-Layer LMS Controller Design and Application to Active Vibration Suppression on a Truss and Proposed Impact Analysis Technique. Storming Media, 2001.

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23

Button, Chris, Ludovic Seifert, Jia Yi Chow, Duarte Araújo et Keith Davids. Dynamics of Skill Acquisition. 2^e éd. Human Kinetics, 2021. http://dx.doi.org/10.5040/9781718214125.

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Dynamics of Skill Acquisition, Second Edition, provides an analysis of the processes underlying human skill acquisition. As the first text to outline the multidisciplinary ecological dynamics framework for understanding movement behavior, this heavily updated edition stays on the cutting edge, with principles of nonlinear pedagogy and methodologies from the constraints-led approach. Students and practitioners across a variety of professions—including coaches, physical educators, trainers, and rehabilitation specialists—will appreciate the applied focus of this second edition. Movement models throughout the text provide examples for visualizing task constraints and enhancing the study and understanding of movement behavior. Athletes and sports teams are presented as specific complex adaptive systems, with information on designing learning environments and adapting programs to foster skill development. Readers will learn the historical evolution of dynamical systems theory and the ecological dynamics framework. These foundational concepts illustrate the integration between intentional action, cognition, and decision making and their effects on performance and behavior. Complex theoretical concepts are explained in simple terms and related to practice, focusing on the implications of the work of pioneering researchers such as Nikolai Bernstein, Egon Brunswik, James Gibson, Scott Kelso, and Karl Newell. Case studies written by practitioners contain specific examples of the ecological dynamics framework in action, bringing theory to life. By learning how to identify and manipulate key constraints that influence learning skilled behavior, readers will gain insight into practice designs for creating positive learning experiences that enable individuals to develop and learn functional movements. Throughout the book, learning features guide readers through material with clear direction and focus to improve understanding. Spotlight on Research sidebars provide detailed descriptions of important studies to connect theory, research, and application. Lab activities teach application skills beyond the content, ensuring reader understanding. In addition, chapter objectives, self-test questions, and Key Concept sidebars highlight important concepts in each chapter. With the study of human movement now bridging many disciplines, including motor development, psychology, biology, and physical therapy, Dynamics of Skill Acquisition, Second Edition, provides a timely analysis of the ecological dynamics framework and presents a comprehensive model for understanding how coordination patterns are assembled, controlled, and acquired. The theoretical roots and development of the ecological dynamics framework provide application strategies for all people with an interest in movement coordination and control. AUDIENCE An upper-level undergraduate or graduate textbook for courses in human movement and skill acquisition. A professional reference for movement practitioners and scientists, including teachers, coaches, trainers, physical educators, physical therapists, rehabilitation specialists, sport scientists, psychologists, biomechanists, sport analysts and physiologists.

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24

Barreiro, Antonio, et Alfonso Baños. Reset Control Systems. Springer, 2013.

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25

Barreiro, Antonio, et Alfonso Baños. Reset Control Systems. Springer, 2011.

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26

Barreiro, Antonio, et Alfonso Baños. Reset Control Systems. Springer London, Limited, 2011.

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27

Reset Control Systems. Springer, 2011.

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28

Garoche, Pierre-Loïc. Formal Verification of Control System Software. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691181301.001.0001.

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The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. This book provides control engineers and computer scientists with an introduction to the formal techniques for analyzing and verifying this important class of software. Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. The book provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. It presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software. As the autonomy of critical systems continues to increase—as evidenced by autonomous cars, drones, and satellites and landers—the numerical functions in these systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technologies.

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