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《Acta Automatica Sinica》 2004-06
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Design of Fuzzy Controller Based On Partial State Information

LIU Hua-Ping~(1,2) SUN Fu-Chun~(1,2) SUN Zeng-Qi~(1,2) LI Chun-Wen~3~1(State Key Lab.of Intelligent Technology and Systems,Beijing 100084)~2(Department of Computer Science and Technology,Tsinghua University,Beijing 100084)~3(Department of Automation,Tsinqhua University.Beijig 100084)  
Controller using partial state information belong to a class of static output feed-back controllers,and is difficult to obtain by using linear matrix inequality.This paperconsiders a fuzzy partial-state-feedback controller design problem for the Takagi-Sugeno(T-S)fuzzy systems.The design problem can be reduced to a feasibility problem of a set ofbilinear matrix inequalities(BMIs).The objective of this paper is to propose an algorithm forsolving the resulting BMIs by using the idea of the homotopy method,where controller gainsare deformed from the fuzzy full-state-feedback matrices to the fuzzy partial-state-feedbackgains.Thus,the stabilizing fuzzy partial-state-feedback controller gains can be obtainedvia an iterative algorithm.The efficiency of the proposed algorithm is demonstrated by asimulation example.
【Fund】: 教育部全国优秀博士学位论文作者专项基金(200041) 国家重点基础研究发展计划(G2002cb312205) 国家自然科学基金关键技术研究项目(90205008) 国家自然科学基金(60084002,60174018)资助~~
【CateGory Index】: TM571.6
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