Adaptive Control: Stability, Convergence, and Robustness

Adaptive Control: Stability, Convergence, and Robustness
Shankar Sastry | 1989-01-01 00:00:00 | Prentice Hall | 378 | Control Theory
The objective of this book is to give, in a concise and unified fashion, the major results, techniques of analysis and new directions of research in adaptive systems. Such a treatment is particularly timely, given the rapid advances in microprocessor and multi-processor technology which make it possible to implement the fairly complicated nonlinear and time varying control laws associated with adaptive control. Indeed, limitations to future growth can hardly be expected to be computational, but rather from a lack of a fundamental understanding of the methodologies for the design, evaluation and testing of the algorithms. The objective has been to give a clear, conceptual presentation of adaptive methods, to enable a critical evaluation of these techniques and suggest avenues of further development.

Adaptive control has been the subject of active research for over three decades now (ed note: this book was published in 1994). There have been many theoretical successes, including the development of rigorous proofs of stability and an understanding of the dynamical properties of adaptive schemes. Several successful applications have been reported and the last ten years have seen an impressive growth in the availability of commercial adaptive controllers.

This book presents the deterministic theory of identification and adaptive control. For the most part the focus is on linear, continuous time, single-input single-output systems. The presentation includes the algorithms, their dynamical properties and tools for analysis - including the recently introduced averaging techniques. Current research in the adaptive control of multi-input, multi-output linear systems and a class of nonlinear systems is also covered. Although continuous time algorithms occupy the bulk of our interest, they are presented in such a way as to enable their transcription to the discrete time case.
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Control of Fluid Flow

Control of Fluid Flow
Petros Koumoutsakos, Igor Mezic | 2006-01-01 00:00:00 | Springer | 229 | Control Theory
This carefully edited monograph presents the state of the art of theory and applications in fluid flow control. It collects contributions by leading experts in the field of fluid flow control interesting for engineers, physicists, or mathematicians in control and fluid dynamics. "Control of Fluid Flow" covers a wide range of recent topics including vortex based control algorithms, incompressible turbulent boundary layers, aerodynamic flow control, control of mixing and reactive flow processes or nonlinear modeling and control of combustion dynamics.
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Automatic Control Systems (8 edition)

Automatic Control Systems (8 edition)
Benjamin C. Kuo | 2002-09-06 00:00:00 | Wiley; 8 edition | 378 | Control Theory
Real-world applications - Integrates real - world analysis and design applications throughout the text. Examples include: the sun - seeker system, the liquid - level control, dc - motor control, and space - vehicle payload control.
* Examples and problems - Includes an abundance of illustrative examples and problems.
* Marginal notes throughout the text highlight important points.
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Control Systems Engineering, 4th Edition

Control Systems Engineering, 4th Edition
Norman S. Nise | 2003-01-01 00:00:00 | John Wiley & Sons Inc | 992 | Control Theory
Control Systems Engineering", now in its fifth edition, takes a practical approach to control systems engineering. Presenting clear and complete explanations, the text shows you how to analyze and design feedback control systems that support today's modern technology. By working with the same physical system in each chapter, the book's progressive case studies give you a realistic view of each stage of the control design process while a combination of qualitative and quantitative explanations provide insight into the design of parameters and system configurations. Best of all, you'll get extensive practice in using MATLAB, Simulink, and the SISO Design Tool - industry standards that you will use in your future career.
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Introduction to Control Engineering: Modeling, Analysis and Design

Introduction to Control Engineering: Modeling, Analysis and Design
Ajit K. Mandal | 1900-01-01 00:00:00 | New Age Publications (Academic) (December 1, 2008) | 623 | Control Theory
This book is intended for an introductory undergraduate course in control systems for engineering students. This text presents a comprehensive analysis and design of continuous-time control systems and includes more than introductory material for discrete systems with adequate guidelines to extend the results derived in connection continuous-time systems. The prerequisite for the reader is some elementary knowledge of differential equations, vector-matrix analysis and mechanics. Transfer function and state variable models of typical components and subsystems have been derived in the Appendix at the end of the book. Most of the materials including solved and unsolved problems presented in the book have been class-tested in senior undergraduates and first year graduate courses in the field of control systems at the Electronics and Telecommunication Engineering Department, Jadavpur University. MATLAB is the most widely used CAD software package in universities throughout the world. Some representative MATLAB scripts used for solving problems are included at the end of each chapter. The detailed design steps of fuzzy logic based controller using Simulink and MATLAB has been provided in the book to give the student a head start in this emerging discipline. A chapter has been included to deal with nonlinear components and their analysis MATLAB and SIMULINK through user defined s-functions. Finally, a chapter has been included to deal with the implementation of digital controllers on finite bit computer, to bring out the problems associated with digital controllers. In view of extensive use of MATLAB for rapid verification of controller designs, some notes for using MATLAB script M-files and function M-files are included at the end of the book.
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