Abstract
For analysis and design of nonlinear systems, T-S technique is a very useful tool, because T-S fuzzy model has been proved to be a good representation for a certain class of nonlinear systems and be thought of as universal approximators for the nonlinear systems. Moreover, the nonlinear systems are represented by a set of local linear models interpolated by membership functions. Therefore, T-S fuzzy methods play an important role in stability analysis and feedback stabilization for nonlinear dynamic systems, and many important results about this have been obtained [1, 4, 23, 31, 40, 60, 65, 96, 97, 125, 129, 149]. However, few address the issues of fault estimation for T-S fuzzy models.
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