Prescribed performance controller with affine equivalent model for a class of unknown nonlinear discrete-time systems

C. Treesatayapun

International Journal of Systems Science, 2021, vol. 52, issue 2, 334-349

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.

Date: 2021
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DOI: 10.1080/00207721.2020.1829161

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