NEURAL NETWORK CONTROL: THEORY AND APPLICATIONS

By:

HUANG SUNAN

Contributor(s):

TAN KOK

Material type: Text

TextPublication details: UK RESEARCH STUDIES PRESS LTD 2004Description: xviii, 395ISBN:

0-86380-285-0

Subject(s):

NEURAL NETWORKS (COMPUTER SCIENCE), AUTOMATIC CONTROL

DDC classification:

006.32/HUA/TAN

Summary: This book provides a systematic treatment of a general and streamlined design procedure for neural network (NN) control schemes. Stability proofs and transient performance guarantees are presented which illustrate the superior efficiency of the NN controllers over other design techniques when the system is unknown. Four main schemes for advanced neural network control are addressed in this book, including: NN model-based control, direct adaptive NN control--including state feedback, observer design and decentralized control, adaptive backstopping NN control, adaptive NN control of robot manipulators.

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Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Reference	Reference	006.32/HUA/TAN (Browse shelf(Opens below))	Available	NEURAL NETWORKS (COMPUTER SCIENCE), AUTOMATIC CONTROL		SICSR-B-19581

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This book provides a systematic treatment of a general and streamlined design procedure for neural network (NN) control schemes. Stability proofs and transient performance guarantees are presented which illustrate the superior efficiency of the NN controllers over other design techniques when the system is unknown. Four main schemes for advanced neural network control are addressed in this book, including: NN model-based control, direct adaptive NN control--including state feedback, observer design and decentralized control, adaptive backstopping NN control, adaptive NN control of robot manipulators.

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