Fuzzy iterative learning control design for output tracking of discrete-time fuzzy systems

Tracking control designs are important issues for practical applications. Combining iterative learning control theory with Takagi-Sugeno (TS) fuzzy methodology, a fuzzy iterative learning control design method is described for output tracking of nonlinear discrete-time system. First, the TS fuzzy model is employed to approximate a nonlinear discrete-time system. Next, a model-based fuzzy iterative learning controller is developed to guarantee the convergence of the tracking error. The proposed approach can sufficiently utilize clear concepts and simple methods of iterative learning control theory to improve system tracking performance. A simulation example is provided to illustrate the design procedures and the effectiveness of the fuzzy iterative learning controller.