Adaptive Approximation Based Control
Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
By Jay A. Farrell, Marios M. Polycarpou | Publisher: Wiley
About the book
A highly accessible and unified approach to the design and analysis of intelligent control systems
Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox.
Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before.
The authors provide readers with a thought-provoking framework for rigorously considering such questions as:
* What properties should the function approximator have?
* Are certain families of approximators superior to others?
* Can the stability and the convergence of the approximator parameters be guaranteed?
* Can control systems be designed to be robust in the face of noise, disturbances, and unmodeled effects?
* Can this approach handle significant changes in the dynamics due to such disruptions as system failure?
* What types of nonlinear dynamic systems are amenable to this approach?
* What are the limitations of adaptive approximation based control?
Combining theoretical formulation and design techniques with extensive use of simulation examples, this book is a stimulating text for researchers and graduate students and a valuable resource for practicing engineers.
Editions of Adaptive Approximation Based Control
- Hardcover
- ISBN 9780471727880
- EBook
- ISBN 9780471781813
- EBook
- ISBN 9780471781806
Read an Excerpt
A highly accessible and unified approach to the design and analysis of intelligent control systems
Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox.
Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before.
The authors provide readers with a thought-provoking framework for rigorously considering such questions as:
* What properties should the function approximator have?
* Are certain families of approximators superior to others?
* Can the stability and the convergence of the approximator parameters be guaranteed?
* Can control systems be designed to be robust in the face of noise, disturbances, and unmodeled effects?
* Can this approach handle significant changes in the dynamics due to such disruptions as system failure?
* What types of nonlinear dynamic systems are amenable to this approach?
* What are the limitations of adaptive approximation based control?
Combining theoretical formulation and design techniques with extensive use of simulation examples, this book is a stimulating text for researchers and graduate students and a valuable resource for practicing engineers.
Frequently Asked Questions
What is Adaptive Approximation Based Control about?
A highly accessible and unified approach to the design and analysis of intelligent control systems
Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox.
Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before.
The authors provide readers with a thought-provoking framework for rigorously considering such questions as:
* What properties should the function approximator have?
* Are certain families of approximators superior to others?
* Can the stability and the convergence of the approximator parameters be guaranteed?
* Can control systems be designed to be robust in the face of noise, disturbances, and unmodeled effects?
* Can this approach handle significant changes in the dynamics due to such disruptions as system failure?
* What types of nonlinear dynamic systems are amenable to this approach?
* What are the limitations of adaptive approximation based control?
Combining theoretical formulation and design techniques with extensive use of simulation examples, this book is a stimulating text for researchers and graduate students and a valuable resource for practicing engineers.
What core themes, tropes, or subjects are explored in Adaptive Approximation Based Control?
Reference, Information and Interdisciplinary subjects > Research and information: general > Information theory > Cybernetics and systems theory
Where can I read a sample of Adaptive Approximation Based Control?
You can read an official preview of the few pages here https://www.book2look.com/book/9780471727880
Is Adaptive Approximation Based Control part of a series, and can it be read as a standalone?
Yes it is a part of series Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Who is/are the Author/s of the book Adaptive Approximation Based Control?
Jay A. Farrell, Marios M. Polycarpou
Who is the Publisher of the book Adaptive Approximation Based Control?
Wiley
What are the ISBN numbers for the physical and digital editions?
Adaptive Approximation Based Control is available as hardcover(ISBN 9780471727880) and ebook(ISBN 9780471781813) and ebook(ISBN 9780471781806)
Where can I buy Adaptive Approximation Based Control online or support local independent bookshops?
You can buy Adaptive Approximation Based Control from below
Where can I buy Adaptive Approximation Based Control?