Robust Adaptive Control of nonlinear switched Systems under external disturbances
Phuong Nam Dao†, Hong Quang Nguyen‡*, Tien Trung Dang‡†, Ngoc Kien Vu‡
†Hanoi University of Science and Technology, Vietnam.
‡Thai Nguyen University of Technology, Vietnam.
‡†Electric Power University, Vietnam.
Corresponding Author Email: firstname.lastname@example.org
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In this work, a robust adaptive neural network control is proposed for a class of nonlinear switched systems with external disturbances. The main idea is a design based on the approximation description of neural networks and the dwell-time approach. Under the separation of disturbances, we establish new linear matrix inequalities to give the control law. Stability analysis shows that all the closed-loop system signals are uniformly ultimately bounded, and the steady-state tracking error can be made arbitrarily small by appropriately choosing control parameters. The simulation results demonstrate the effectiveness of the proposed controllers.