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Robust adaptive NN control for a class of uncertain discrete-time nonlinear MIMO systems.
- Source :
-
Neural Computing & Applications . Mar2013, Vol. 22 Issue 3/4, p747-754. 8p. - Publication Year :
- 2013
-
Abstract
- A robust adaptive NN output feedback control is proposed to control a class of uncertain discrete-time nonlinear multi-input-multi-output (MIMO) systems. The high-order neural networks are utilized to approximate the unknown nonlinear functions in the systems. Compared with the previous research for discrete-time MIMO systems, robustness of the proposed adaptive algorithm is obvious improved. Using Lyapunov stability theorem, the results show all the signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood of zero by choosing the design parameters appropriately. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09410643
- Volume :
- 22
- Issue :
- 3/4
- Database :
- Academic Search Index
- Journal :
- Neural Computing & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 85434061
- Full Text :
- https://doi.org/10.1007/s00521-011-0766-4