Delay-Adaptive Linear Control / / Yang Zhu, Miroslav Krstic.
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 algorithm...
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Superior document: | Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 English |
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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2020] ©2020 |
Year of Publication: | 2020 |
Language: | English |
Series: | Princeton Series in Applied Mathematics ;
66 |
Online Access: | |
Physical Description: | 1 online resource (352 p.) :; 48 b/w illus. 16 tables. |
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Other title: | Frontmatter -- Contents -- List of Figures and Tables -- Preface -- Acknowledgments -- List of Abbreviations -- Chapter One. Introduction -- Part I. Single-Input Discrete Delay -- Chapter Two. Basic Predictor Feedback for Single-Input Systems -- Chapter Three. Basic Idea of Adaptive Control for Single-Input Systems -- Chapter Four. Single-Input Systems with Full Relative Degree -- Chapter Five. Single-Input Systems with Arbitrary Relative Degree -- Part II. Multi-Input Discrete Delays -- Chapter Six. Exact Predictor Feedback for Multi-Input Systems -- Chapter Seven. Full-State Feedback of Uncertain Multi-Input Systems -- Chapter Eight. Output Feedback of Uncertain Multi-Input Systems -- Chapter Nine. Output Feedback of Systems with Uncertain Delays, Parameters, and ODE State -- Part III. Distributed Input Delays -- Chapter Ten. Predictor Feedback for Uncertainty-Free Systems -- Chapter Eleven. Predictor Feedback of Uncertain Single-Input Systems -- Chapter Twelve. Predictor Feedback of Uncertain Multi-Input Systems -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Bibliography -- Index |
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Summary: | 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.Delay-Adaptive Linear Control 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 comprehensive 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, Delay-Adaptive Linear Control offers powerful new tools for the control engineer and the mathematician. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9780691203317 9783110704716 9783110704518 9783110704846 9783110704662 9783110515831 9783110690088 |
DOI: | 10.1515/9780691203317?locatt=mode:legacy |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Yang Zhu, Miroslav Krstic. |