Intelligent Observer and Control Design for Nonlinear Systems /
Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats th...
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2000.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats the problem by focussing on the role of learning. Intelligent learning techniques are able to determine the unknown components of nonlinear systems. These processes are always stable and convergent. The methods presented can be used both on-line and off-line. They have applications in mechatronics, hydraulics and combustion engines. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xiii, 339 pages) |
| ISBN: | 9783662041178 (electronic bk.) 3662041170 (electronic bk.) |