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: quang.nguyenhong@tnut.edu.vn

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.