摘要
研究一类非线性系统的最小方差控制.将非线性系统等价表示为时变线性系统,利用小波网络的非线性逼近特性在线辨识时变系数,利用改进的投影算法在线调整小波网络的权值;在此基础上设计了非线性系统的最小方差控制器,并分析了闭环控制系统的稳定性.仿真结果表明了该算法的有效性.
Minimum variance control for a class of nonlinear systems is discussed. The nonlinear system is substituted by a time-varying linear system. Wavelet networks are used to identify the time-varying coefficients for their better nonlinear approximation character. Then improved gradient estimation algorithm is used to adjust the weights of the wavelet networks. A minimum variance controller is designed. The stability of the closed-loop system is proved. The effectiveness of the presented method is demonstrated by the simulation results.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第6期637-641,共5页
Control and Decision
基金
国家自然科学基金资助项目(60034010
60174019)
南京理工大学科研基金资助项目(AB41415).
关键词
非线性
时变
小波网络
最小方差控制
Closed loop control systems
Identification (control systems)
System stability
Time varying systems
Wavelet transforms