Robust Adaptive Control Of Nonlinear Dynamic Systems
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Author | : Petros Ioannou |
Publisher | : Courier Corporation |
Total Pages | : 850 |
Release | : 2013-09-26 |
Genre | : Technology & Engineering |
ISBN | : 0486320723 |
Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.
Author | : Mingjin Zhang |
Publisher | : |
Total Pages | : 168 |
Release | : 2007 |
Genre | : Adaptive control systems |
ISBN | : |
Investigates a robust and adaptive control scheme for a class of nonlinear system with uncertain dynamics. Considers and formulates the tracking control problem as a general error stabilization problem. Develops algorithms based on Lyapunov stability theory and applies the method to a satellite attitude control and to the automatic landing control of crew exploration vechicles (CEVs). Addresses the fundamental issues of using VHDL (Very High Speed Integrated Circuits Hardware Description Language) for real-time implementation.
Author | : Alessandro Astolfi |
Publisher | : Springer Science & Business Media |
Total Pages | : 302 |
Release | : 2007-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1848000669 |
The authors here provide a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. They employ a new tool based on the ideas of system immersion and manifold invariance. New algorithms are delivered for the construction of robust asymptotically-stabilizing and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes that are easier to tune than their counterparts obtained from Lyapunov redesign.
Author | : Yu Jiang |
Publisher | : John Wiley & Sons |
Total Pages | : 220 |
Release | : 2017-04-13 |
Genre | : Science |
ISBN | : 1119132657 |
A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems’ complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.
Author | : Martin Guay |
Publisher | : IET |
Total Pages | : 269 |
Release | : 2015-11-13 |
Genre | : Technology & Engineering |
ISBN | : 1849195528 |
This book offers a novel approach to adaptive control and provides a sound theoretical background to designing robust adaptive control systems with guaranteed transient performance. It focuses on the more typical role of adaptation as a means of coping with uncertainties in the system model.
Author | : Yu Jiang |
Publisher | : John Wiley & Sons |
Total Pages | : 216 |
Release | : 2017-05-08 |
Genre | : Science |
ISBN | : 1119132649 |
A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems’ complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.
Author | : Haojian Xu |
Publisher | : |
Total Pages | : 274 |
Release | : 2002 |
Genre | : |
ISBN | : |
Author | : Gang Tao |
Publisher | : Springer Science & Business Media |
Total Pages | : 425 |
Release | : 2013-04-17 |
Genre | : Technology & Engineering |
ISBN | : 144713687X |
Many of the non-smooth, non-linear phenomena covered in this well-balanced book are of vital importance in almost any field of engineering. Contributors from all over the world ensure that no one area’s slant on the subjects predominates.
Author | : Petros A. Ioannou |
Publisher | : Prentice Hall |
Total Pages | : 856 |
Release | : 1996 |
Genre | : Technology & Engineering |
ISBN | : |
List of acronyms; Introduction; Models for dynamic systems; Stability; On-line parameter estimation; Parameter idenfiers and adaptive observers; Model reference adaptive control; Adaptive pole placement control; Robust adaptive laws; Robust adaptive control systems; Bibliography; Index; License agreement and limited warranty.
Author | : Alan S.I. Zinober |
Publisher | : Springer Science & Business Media |
Total Pages | : 396 |
Release | : 2002-09-12 |
Genre | : Technology & Engineering |
ISBN | : 354043240X |
The objective of the EU Nonlinear Control Network Workshop was to bring together scientists who are already active in nonlinear control and young researchers working in this field. This book presents selectively invited contributions from the workshop, some describing state-of-the-art subjects that already have a status of maturity while others propose promising future directions in nonlinear control. Amongst others, following topics of nonlinear and adaptive control are included: adaptive and robust control, applications in physical systems, distributed parameter systems, disturbance attenuation, dynamic feedback, optimal control, sliding mode control, and tracking and motion planning.