Decentralized Control for a Class of Discrete-time Fuzzy Bilinear Interconnected Large-scale Systems
This paper presents the problem of decentralized control for a class of discrete-time fuzzy bilinear interconnected large-scale systems. Based on the Lyapunov stability analysis theory and the parallel distribute compensation (PDC) scheme, some sufficient stabilization conditions are derived for the whole close-loop fuzzy interconnected systems. The cone complementarity linearization (CCL) algorithm is employed to convert the corresponding decentralized fuzzy controller design into a minimum problem with linear matrix inequality (LMI) constraints. Finally, a simulation example shows that the proposed approach is effective.
discrete-time fuzzy bilinear interconnected large-scale system decentralized control linear matrix inequality (LMI) cone complementarity linearization (CCL)
Song Mingli Zhang Guo
Academic of Information Technology, LuoYang Normal University Electrical Engineering Department, Luoyang Institute of Science and Technology
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
3102-3106
2011-05-23(万方平台首次上网日期,不代表论文的发表时间)