Nonlinear Systems with Uncertain Periodically Disturbed Control Gain Functions

Adaptive Fuzzy Control with Invariance Properties

Journal Article (2020)
Author(s)

Maolong Lv (TU Delft - Team Bart De Schutter)

Bart de de Schutter (TU Delft - Team Bart De Schutter, TU Delft - Delft Center for Systems and Control)

Wenwu Yu (Southeast University)

Wenqian Zhang (Air Force Engineering University China)

Simone Baldi (TU Delft - Team Bart De Schutter, Southeast University)

Research Group
Team Bart De Schutter
Copyright
© 2020 Maolong Lv, B.H.K. De Schutter, Wenwu Yu, Wenqian Zhang, S. Baldi
DOI related publication
https://doi.org/10.1109/TFUZZ.2019.2915192
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Maolong Lv, B.H.K. De Schutter, Wenwu Yu, Wenqian Zhang, S. Baldi
Research Group
Team Bart De Schutter
Issue number
4
Volume number
28
Pages (from-to)
746-757
Reuse Rights

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Abstract

This paper proposes a novel adaptive fuzzy dynamic surface control (DSC) method for an extended class of periodically disturbed strict-feedback nonlinear systems. The peculiarity of this extended class is that the control gain functions are not bounded a priori but simply taken to be continuous and with a known sign. In contrast with existing strategies, controllability must be guaranteed by constructing appropriate compact sets ensuring that all trajectories in the closed-loop system never leave these sets. We manage to do this by means of invariant set theory in combination with the Lyapunov theory. In other words, boundedness is achieved a posteriori as a result of stability analysis. The approximator composed of fuzzy logic systems and Fourier series expansion is constructed to deal with the unknown periodic disturbance terms.

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