In this paper, robust state feedback and observer-based fuzzy controllers are developed for uncertain. T-S fuzzy systems with input delay. By using a generalized Lyapunov function and introducing a parameterized model transformation with free weighting matrices, the less conservative robust stabilization conditions are given for both state measured and state unmeasured cases, which are formulated in terms of linear matrix inequalities (LMIs). It is proved that the proposed fuzzy control approach can guarantee the stability of the closed-loop system. A simulation example is given to illustrate the effectiveness of the proposed approaches.
机构:
Zhejiang Univ, Natl Lab Ind Proc Control, Hangzhou 310027, Peoples R ChinaZhejiang Univ, Natl Lab Ind Proc Control, Hangzhou 310027, Peoples R China
Cao, YY
Frank, PM
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机构:Zhejiang Univ, Natl Lab Ind Proc Control, Hangzhou 310027, Peoples R China
机构:
Zhejiang Univ, Natl Lab Ind Proc Control, Hangzhou 310027, Peoples R ChinaZhejiang Univ, Natl Lab Ind Proc Control, Hangzhou 310027, Peoples R China
Cao, YY
Frank, PM
论文数: 0引用数: 0
h-index: 0
机构:Zhejiang Univ, Natl Lab Ind Proc Control, Hangzhou 310027, Peoples R China