摘要
根据动态系统的输入输出数据 ,研究不确定混沌系统的建模及控制问题。利用高斯模糊隶属函数和最小二乘法 ,提出一种新的不确定混沌系统的智能模糊建模及其自适应控制策略。理论分析和仿真结果表明 ,采用所提出的控制方法建模拟合精度高 ,控制响应速度快 ,且具有良好的鲁棒性。
Based on input-output data obtained from the dynamical system, modeling and its control problem of an uncertain chaotic system are studied. Using Gaussian fuzzy membership functions in conjunction with the least-squares principle, a novel approach is developed for intelligent fuzzy modeling and adaptive control strategy of uncertain chaotic system. The theoretical analyses and simulation results show that the forecasting error is minimal with the proposed methodology to model, and the controlled system is of rapid response and robustness.
出处
《控制与决策》
EI
CSCD
北大核心
2003年第4期471-474,共4页
Control and Decision
基金
国家自然科学基金资助项目 (6 0 0 75 0 0 8)
湖南省自然科学基金资助项目 (0 0 JJY2 0 113)
关键词
自适应控制
混沌
模糊逻辑
建模
鲁棒性
Adaptive control systems
Chaos theory
Fuzzy control
Mathematical models
Robustness (control systems)
