Robust State Estimation for a Class of Nonlinear Systems:Fuzzy-Model-Based LMI Approach

摘要：

　　In this paper,we investigate the robust state estimation problem for a class of nonlinear dynamic systems described by Takagi-Sugeno(T-S)models.The main contribution of the proposed approach is to reconstruct the T-S models with unmea-surable premise variables into the uncertain T-S models and introduce the estimated state feedback to the models.The sufficient conditions for the convergence of the state estimation error are obtained based on the Lyapunov stability theory,and presented in terms of Linear Matrix Inequalities(LMIs).Finally,a numerical example is given to illustrate the effectiveness of the proposed approach.

关键词： Robust Nonlinear systems Takagi-Sugeno (T-S) models State estimation Linear Matrix Inequalities (LMIs)

作者: HE Guannan JING Hongyu JI Jing YU Wensheng

作者单位: College of Information Science and Technology,Beijing University of Chemical Technology,Beijing,1000 College of Information Engineering,Guangdong University of Technology,Guangzhou 510006,Guangdong,P.R Shanghai Key Laboratory of Trustworthy Computing,East China Normal University,Shanghai 200062,P.R.Ch

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 3644-3648

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）