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Adaptive Neural Compensation Control for Input-Delay Nonlinear Systems by Passive Approach.
- Source :
- Advances in Neural Networks - ISNN 2006 (9783540344377); 2006, p859-866, 8p
- Publication Year :
- 2006
-
Abstract
- This paper focuses on the design of passive controller with adaptive neural compensation for uncertain strict-feedback nonlinear systems with input-delay. For local linearization model, the delay-dependent γ-passive control is presented. Then, γ-passive control law of local linear model is decomposed as the virtual control of sub-systems by backstepping. In order to compensate the nonlinear dynamics, the adaptive neural model is proposed. The NN weights are turned on-line by Lyapunov stability theory with no prior training. The design procedure of whole systems is a combination of local γ-passive control and adaptive neural network compensation techniques. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540344377
- Database :
- Supplemental Index
- Journal :
- Advances in Neural Networks - ISNN 2006 (9783540344377)
- Publication Type :
- Book
- Accession number :
- 32862290
- Full Text :
- https://doi.org/10.1007/11760023_127