Abstract
A new switching control strategy is proposed for nonlinear batch processes with different types of actuator faults. First, the nonlinear batch process is transformed into different equivalent hybrid discrete two-dimensional T-S fuzzy models according to different types of faults, and an iterative learning control law is designed. Then, based on the Lyapunov stability theory, sufficient conditions under different types of fault conditions are given to ensure the system stable, and the corresponding switching signals are designed at the same time. Finally, taking a three-capacity water tank as an example, the experiment verifies the effectiveness of the algorithm.
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