多输入多输出非线性最小相位系统的自适应模糊控制  

Adaptive Fuzzy Control for MIMO Nonlinear Minimum Phase Systems

作　　者：曲子芳[1] 杜贞斌[2] 杨丽[3] 朱翼隽[4] 

机构地区：[1]山东工商学院数学与信息科学学院,山东烟台264005 [2]烟台大学计算机学院,山东烟台264005 [3]鲁东大学数学与信息学院,山东烟台264025 [4]江苏大学理学院,江苏镇江212013

出　　处：《数学的实践与认识》2011年第8期153-161,共9页Mathematics in Practice and Theory

基　　金：国家自然科学基金(60974028)

摘　　要：针对多输入多输出非线性最小相位系统,把自适应模糊控制和自适应模糊辨识结合起来,提出了一种自适应模糊控制方案.设计辨识器用来辨识系统的未知部分;然后由跟踪误差和辨识误差给出了参数调节规律,两种误差同时调节参数改善了系统性能.模糊逻辑系统用来估计未知函数.控制方案保证了系统的稳定性,实现了有界跟踪.仿真结果表明了该方案的可行性.Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear minimum phase systems. In this paper. an identifier is designed to identify the unknown parts of the systems. By use of the tracking error and the identification error, the parameter adjusting laws are de- rived. Both errors improve the performance of the system by regulating the parameters. Fuzzy logic systems axe used to estimate the unknown functions. The control scheme guarantees the system stability and attains the bounded tracking. The simulation results demonstrate that the control scheme is effective.

关 键 词：多输入多输出 非线性系统 最小相位 自适应模糊控制 辨识 

分 类 号：O231[理学—运筹学与控制论]