Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques
Kevin M. Passino, Ohio State University;
Jeffrey T. Spooner
Manfredi Maggiore
Raúl Ordóñez
John Wiley & Sons, Inc., 2002
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.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)