一类不确定非线性离散系统的模糊自适应控制器设计  

Fuzzy adaptive control design for a class of uncertain nonlinear discrete-time systems

作　　者：范永青 王文庆 江祥奎 刘颖 FAN Yong-qing;WANG Wen-qing;JIANG Xiang-kui;LIU Ying(School of Automation,Xi'an University of Posts and Telecommunications,Xi'an 710121,China)

机构地区：[1]西安邮电大学自动化学院,西安710121

出　　处：《控制与决策》2019年第3期542-548,共7页Control and Decision

基　　金：国家自然科学基金项目(61305098;51405387);陕西省重点研发计划一般项目-农业领域(2017NY-129);陕西省自然科学基金项目(2016JQ5051);陕西省教育厅专项科研基金项目(17JK0709);西安邮电大学"西邮新星"团队项目

摘　　要：针对一类不确定非线性离散系统,提出一种带有自动可调伸缩因子的模糊自适应控制方法.该控制器设计方法的优点是模糊逻辑系统的逼近精度不再依赖于模糊逻辑系统的结构和规则数目,参数自适应律调节与被逼近函数的特征和逼近精度有关,因此能有效减少在线估计的参数数目,且设计方法能够保证闭环系统的所有状态半全局一致终极有界.最后,通过数值仿真算例表明所提出方法的有效性.A fuzzy adaptive controller with scaler is proposed for a class of uncertain nonlinear discrete-time systems in this paper. The advantage of the design method is that the approximation of fuzzy logic systems does not depend on the structure and the number of the rules in fuzzy logic systems, and the number of updated laws is related to the character and approximation of the approximated functions, which can not only reduce the number of on-line parameters, but also guarantee the states of systems semi-global uniformly ultimately bounded(UUB). Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

关 键 词：不确定离散系统 模糊逻辑系统 自适应控制 半全局一致终极有界 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]