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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Nguyen Nhat Tung
Electric Power University
Control & Systems Engineering Electrical & Electronics Engineering

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Adaptive dynamic programming algorithm for uncertain nonlinear switched systems Dao Phuong Nam; Nguyen Hong Quang; Nguyen Nhat Tung; Tran Thi Hai Yen
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i1.pp551-557

Abstract

This paper studies an approximate dynamic programming (ADP) strategy of a group of nonlinear switched systems, where the external disturbances are considered. The neural network (NN) technique is regarded to estimate the unknown part of actor as well as critic to deal with the corresponding nominal system. The training technique is simul-taneously carried out based on the solution of minimizing the square error Hamilton function. The closed system’s tracking error is analyzed to converge to an attraction region of origin point with the uniformly ultimately bounded (UUB) description. The simulation results are implemented to determine the effectiveness of the ADP based controller.
Co-Authors Dao Phuong Nam Nguyen Hong Quang Tran Thi Hai Yen