Model Reduction of Discrete-Time Interval Type-2 T-S Fuzzy Systems.

This paper addresses the model reduction problem of discrete-time interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems, which represent the discrete-time nonlinear systems subject to uncertainty. With the use of IT2 fuzzy sets, the uncertainty of the discrete-time nonlinear system can be captured by the lower and upper membership functions. For a given high-order discrete-time IT2 T-S fuzzy sys...