不确定蔡氏电路混沌系统的神经网络优化控制

谭文; 王耀南; 黄创霞; 伍雪冬

doi:10.3724/SP.J.1146.2005.01129

不确定蔡氏电路混沌系统的神经网络优化控制

doi: 10.3724/SP.J.1146.2005.01129

基金项目:

国家自然科学基金(60375001)，湖南省自然科学基金(03JJY3107)，湖南省教育厅青年基金(05B016)，福建省青年科技人才创新项目(2005J048)，福建省教育厅科技计划项目(JA05308，JB05287)，福建省自然科学基金(2006J0017)和湖南省博士后科研资助专项计划项目资助课题

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出版历程
- 收稿日期: 2005-09-09
- 修回日期: 2007-04-16
- 刊出日期: 2007-07-19

Optimal Control of Uncertain Chuas Chaotic System with Neural Networks

摘要

摘要: 该文研究了不确定非线性蔡氏电路混沌系统的动态神经网络在线辨识和跟踪控制问题。利用无源技术得出梯度下降算法调整神经网络辨识器权值的稳定性定理，然后在辨识模型基础上设计局部优化控制器，将蔡氏混沌系统镇定到期望目标轨迹，并保证跟踪误差有界。数值仿真结果表明了所提出方法的有效性。
- 动态神经网络;混沌;辨识;优化控制
Abstract: On-line identification and following control of nonlinear uncertain Chuas chaotic system using dynamic neural networks are studied in this paper. The passive technique is applied to access properties of neuro-identifier that the gradient descent algorithm for weight adjustment is stable. Then an optimal controller based on the identification model is designed to direct the Chuas chaotic system towards desired target trajectory, and the tracking error is guaranteed to be bounded. Finally, the simulations are provided to demonstrate the effectiveness of the approach proposed.

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