ABSTRACT
The prescribed performance control is established for a class of unknown nonlinear discrete-time systems. The affine equivalent model is utilised for both positive and negative control directions by fuzzy-rules emulated networks. The tracking error converges to a small residual boundary inaugurated under prescribed performance according to model error and uncertainties. Furthermore, the robust gain developed by the proposed controller enhances the closed-loop performance over the unknown but bounded disturbance. The validation of the proposed scheme is verified by simulation results and the experimental system.
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C. Treesatayapun
C. Treesatayapun received the Ph.D. in electrical engineering from Chiang-Mai University, Thailand, in 2004. He was a production engineer at SAGA Electronics (JRC-NJR) from 1998-2000 and was a head of electrical engineering program at North Chiang-Mai University, Thailand from 2001–2007. He is currently a senior researcher at Department of Robotic and Advanced Manufacturing, Mexican Research Center and Advanced Technology, CINVESTAV-IPN, Saltillo campus, Mexico. His current research interests include automation androbotic system control and optimization, adaptive and learning algorithms and electric machine drive.