1. Adaptive near optimal neural control for a class of discrete-time chaotic system.
- Author
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Tang, Li, Gao, Ying, and Liu, Yan-Jun
- Subjects
- *
ADAPTIVE control systems , *OPTIMAL control theory , *DISCRETE-time systems , *CHAOS theory , *ARTIFICIAL neural networks , *COMPUTER simulation - 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]
- Published
- 2014
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