Open AccessPassive control for a class of T-S fuzzy systems with memory controller
Author(s) -
Yanhua Wang,
Han Ying,
Xiao He
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1732/1/012001
Subject(s) - control theory (sociology) , controller (irrigation) , computer science , fuzzy logic , matlab , class (philosophy) , fuzzy control system , state (computer science) , nonlinear system , stability (learning theory) , linear matrix inequality , lyapunov stability , lyapunov function , full state feedback , control engineering , control (management) , mathematics , engineering , artificial intelligence , mathematical optimization , algorithm , machine learning , agronomy , physics , quantum mechanics , biology , operating system
Taking the advantage of fuzzy systems, a class of T-S fuzzy models used to describe nonlinear systems. Firstly, by designing a memory state feedback controller, we draw the conclude of robust stability and the conditions of passive control. Secondly, using Lyapunov stability and linear matrix inequality technology in MATLAB, we can utilize the gain matrix about the controller of the memory state feedback. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.