Adaptive Control Design And Analysis PDF Download
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| Author | : Gang Tao |
| Publisher | : John Wiley & Sons |
| Total Pages | : 652 |
| Release | : 2003-07-09 |
| Genre | : Science |
| ISBN | : 9780471274520 |
Download Adaptive Control Design and Analysis Book in PDF, ePub and Kindle
A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory. Adaptive Control Design and Analysis features: Introduction to systems and control Stability, operator norms, and signal convergence Adaptive parameter estimation State feedback adaptive control designs Parametrization of state observers for adaptive control Unified continuous and discrete-time adaptive control L1+a robustness theory for adaptive systems Direct and indirect adaptive control designs Benchmark comparison study of adaptive control designs Multivariate adaptive control Nonlinear adaptive control Adaptive compensation of actuator nonlinearities End-of-chapter discussion, problems, and advanced topics As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.
| Author | : Petros Ioannou |
| Publisher | : Courier Corporation |
| Total Pages | : 850 |
| Release | : 2013-09-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0486320723 |
Download Robust Adaptive Control Book in PDF, ePub and Kindle
This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.
| Author | : Eugene Lavretsky |
| Publisher | : Springer Nature |
| Total Pages | : 718 |
| Release | : |
| Genre | : |
| ISBN | : 3031383141 |
Download Robust and Adaptive Control Book in PDF, ePub and Kindle
| Author | : Petros Ioannou |
| Publisher | : SIAM |
| Total Pages | : 401 |
| Release | : 2006-01-01 |
| Genre | : Mathematics |
| ISBN | : 0898716152 |
Download Adaptive Control Tutorial Book in PDF, ePub and Kindle
Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigor, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes without having to fully understand the analytical and technical proofs; graduate students who, in addition to attaining the aforementioned objectives, also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics. The authors achieve these multiple objectives by enriching the book with examples demonstrating the design procedures and basic analysis steps and by detailing their proofs in both an appendix and electronically available supplementary material; online examples are also available. A solution manual for instructors can be obtained by contacting SIAM or the authors. Preface; Acknowledgements; List of Acronyms; Chapter 1: Introduction; Chapter 2: Parametric Models; Chapter 3: Parameter Identification: Continuous Time; Chapter 4: Parameter Identification: Discrete Time; Chapter 5: Continuous-Time Model Reference Adaptive Control; Chapter 6: Continuous-Time Adaptive Pole Placement Control; Chapter 7: Adaptive Control for Discrete-Time Systems; Chapter 8: Adaptive Control of Nonlinear Systems; Appendix; Bibliography; Index
| Author | : Li-Xin Wang |
| Publisher | : Prentice Hall |
| Total Pages | : 262 |
| Release | : 1994 |
| Genre | : Computers |
| ISBN | : |
Download Adaptive Fuzzy Systems and Control Book in PDF, ePub and Kindle
This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.
| Author | : Naira Hovakimyan |
| Publisher | : SIAM |
| Total Pages | : 333 |
| Release | : 2010-09-30 |
| Genre | : Science |
| ISBN | : 0898717043 |
Download L1 Adaptive Control Theory Book in PDF, ePub and Kindle
Contains results not yet published in technical journals and conference proceedings.
| Author | : Miroslav Krstic |
| Publisher | : Wiley-Interscience |
| Total Pages | : 592 |
| Release | : 1995-06-14 |
| Genre | : Computers |
| ISBN | : |
Download Nonlinear and Adaptive Control Design Book in PDF, ePub and Kindle
Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.
| Author | : Karl J. Åström |
| Publisher | : Courier Corporation |
| Total Pages | : 596 |
| Release | : 2013-04-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0486319148 |
Download Adaptive Control Book in PDF, ePub and Kindle
Suitable for advanced undergraduates and graduate students, this text introduces theoretical and practical aspects of adaptive control. It offers an excellent perspective on techniques as well as an active knowledge of key approaches. Readers will acquire a well-developed sense of when to use adaptive techniques and when other methods are more appropriate. Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators. Additional topics include gain scheduling, robust high-gain control and self-oscillating controllers, and suggestions for implementing adaptive controllers. Concluding chapters feature a summary of applications and a brief review of additional areas closely related to adaptive control. Both authors are Professors at the Lund Institute of Technology in Sweden, and this text has evolved from their many years of research and teaching. Their insights into properties, design procedures, and implementation of adaptive controllers are complemented by the numerous examples, simulations, and problems that appear throughout the book.
| Author | : Aniruddha Datta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 166 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 0857293311 |
Download Adaptive Internal Model Control Book in PDF, ePub and Kindle
Written in a self-contained tutorial fashion, this monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for verifying some of the reported industrial successes of existing adaptive control schemes and enables readers to synthesize adaptive versions of their own robust internal model control schemes.
| Author | : Andrey Smyshlyaev |
| Publisher | : Princeton University Press |
| Total Pages | : 344 |
| Release | : 2010-07-01 |
| Genre | : Mathematics |
| ISBN | : 1400835364 |
Download Adaptive Control of Parabolic PDEs Book in PDF, ePub and Kindle
This book introduces a comprehensive methodology for adaptive control design of parabolic partial differential equations with unknown functional parameters, including reaction-convection-diffusion systems ubiquitous in chemical, thermal, biomedical, aerospace, and energy systems. Andrey Smyshlyaev and Miroslav Krstic develop explicit feedback laws that do not require real-time solution of Riccati or other algebraic operator-valued equations. The book emphasizes stabilization by boundary control and using boundary sensing for unstable PDE systems with an infinite relative degree. The book also presents a rich collection of methods for system identification of PDEs, methods that employ Lyapunov, passivity, observer-based, swapping-based, gradient, and least-squares tools and parameterizations, among others. Including a wealth of stimulating ideas and providing the mathematical and control-systems background needed to follow the designs and proofs, the book will be of great use to students and researchers in mathematics, engineering, and physics. It also makes a valuable supplemental text for graduate courses on distributed parameter systems and adaptive control.
