期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2013
卷号：5
期号：09
页码：830-846
出版社：Engg Journals Publications
摘要：This paper addresses the problem of state and faults estimation for Takagi-Sugeno nonlinear systems. Based on this structure for modeling, a proportional integralmultiple observer with unknown inputs is proposed in order to estimate simultaneously the state variables and actuator and sensor faults. Estimation error dynamics stability is studied with the Lyapunov theory and the observer gains are obtained by solving linear matrix inequalities (LMI). Academic examples are provided in order to illustrate the proposed method.
关键词：Takagi-Sugeno structure modeling; proportional integral observer with unknown inputs; actuator and sensor faults; estimation error.
