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Adaptive near optimal neural control for a class of discrete-time chaotic system.
- Source :
- Neural Computing & Applications; Oct2014, Vol. 25 Issue 5, p1111-1117, 7p
- Publication Year :
- 2014
-
Abstract
- In this paper, an adaptive critic neural network controller is designed for a class of discrete-time chaotic system. The critic neural network is used to approximate the long-term function. In contrast with the existing results for discrete-time chaotic systems, in this paper, a near optimal control input can be generated when the long-term function is minimized. It is proven that the tracking error, the adaptation laws and the control input are uniformly bounded. A simulation example is employed to illustrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09410643
- Volume :
- 25
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Neural Computing & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 98148757
- Full Text :
- https://doi.org/10.1007/s00521-014-1595-z