MATLAB & Simulink Based Books

Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques

		Jeffrey T. Spooner Manfredi Maggiore Raúl Ordóñez Kevin M. Passino, Ohio State University John Wiley & Sons, Inc., 2002 Tel:  800-225-5945 Fax:  732-302-2300 Outside North America Tel:  +44-1243-843-294 Fax:  +44-1243-843-296 ISBN: 0-471-41546-4 Language: English

Written for practicing engineers and graduate students, this text brings together adaptive control with neural networks and fuzzy systems for the control of nonlinear systems. The authors present a control methodology that may be verified with mathematical rigor while possessing the flexibility and ease of implementation associated with intelligent control approaches. Design techniques are presented for nonlinear multi-output systems in state-feedback, output-feedback, continuous or discrete-time, and decentralized form.

Companion Software: A set of MATLAB M-files is available. Retrieve companion software