Adaptive Approximation Based Control Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
142,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
20.04.2006
Verlag
WileySeitenzahl
500 (Printausgabe)
Dateigröße
19996 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780471781806
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.
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.
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