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基于分段多项式李雅普诺夫函数的模糊系统的稳定性分析
引用本文:吴雨棠,李丽珍,胡德时. 基于分段多项式李雅普诺夫函数的模糊系统的稳定性分析[J]. 控制理论与应用, 2023, 40(3): 558-564
作者姓名:吴雨棠  李丽珍  胡德时
作者单位:上海电力大学数理学院,上海200090
基金项目:国家自然科学基金项目(61903244)资助.
摘    要:本文采用最大型分段多项式李雅普诺夫函数研究了多项式模糊系统的闭环稳定性问题.首先,本文设计了与分段李雅普诺夫函数对应的切换模糊控制器,提出了多项式模糊模型稳定的平方和条件,同时证明了最大型分段多项式李雅普诺夫函数在函数切换点的稳定性.然后,设计了相应的路径跟踪优化算法,对本文非凸的稳定条件进行迭代求解.最后,通过两个算例进行仿真与比较,说明并验证了本文所提出结论的可行有效性.

关 键 词:分段多项式李雅普诺夫函数  平方和方法  多项式模糊模型  路径跟踪算法
收稿时间:2021-09-03
修稿时间:2023-03-03

Stability analysis of fuzzy systems using piecewise polynomial Lyapunov function
WU Yu-tang,LI Li-zhen and HU De-shi. Stability analysis of fuzzy systems using piecewise polynomial Lyapunov function[J]. Control Theory & Applications, 2023, 40(3): 558-564
Authors:WU Yu-tang  LI Li-zhen  HU De-shi
Affiliation:Shanghai University of Electric Power,Shanghai University of Electric Power,Shanghai University of Electric Power
Abstract:This paper is devoted to studying the closed-loop stability of polynomial fuzzy systems by using piecewisepolynomial Lyapunov function. Firstly, this paper designs the switching fuzzy controller corresponding to the piecewiseLyapunov function, puts forward the sum-of-square conditions for the stability of the polynomial fuzzy model. Meanwhile,the stability of the maximum-type piecewise polynomial Lyapunov function at the switching point is proved. Then, theappropriate path-following optimization algorithm is adopted and designed to solve the nonconvex stability conditionsiteratively. Finally, the simulation of two examples and the comparison vertify that the proposed conclusions are feasibleand effective.
Keywords:piecewise polynomial Lyapunov function   sum of square   polynomial fuzzy model   path-following algorithm
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