Adaptive near optimal neural control for a class of discrete-time chaotic system

作者：Tang Li; Gao Ying^*; Liu Yan Jun

来源：Neural Computing & Applications, 2014, 25(5): 1111-1117.

DOI：10.1007/s00521-014-1595-z

• Chaotic system
• Adaptive control
• Critic neural network

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.

• 出版日期2014-10
• 单位辽宁工业大学