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Output feedback adaptive fuzzy control of uncertain MIMO nonlinear systems with unknown input nonlinearities

Authors
Journal
ISA Transactions
0019-0578
Publisher
Elsevier
Identifiers
DOI: 10.1016/j.isatra.2014.07.006
Keywords
  • Nonlinear Control
  • Universal Approximation Theorem
  • Adaptive Control
  • Input Nonlinearity
Disciplines
  • Design
  • Mathematics

Abstract

Abstract An adaptive fuzzy output feedback controller is proposed for a class of uncertain MIMO nonlinear systems with unknown input nonlinearities. The input nonlinearities can be backlash-like hysteresis or dead-zone. Besides, the gains of unknown input nonlinearities are unknown nonlinear functions. Based on universal approximation theorem, the unknown nonlinear functions are approximated by fuzzy systems. The proposed method does not need the availability of the states and an observer based on strictly positive real (SPR) theory is designed to estimate the states. An adaptive robust structure is used to cope with fuzzy approximation error and external disturbances. The semi-global asymptotic stability of the closed-loop system is guaranteed via Lyapunov approach. The applicability of the proposed method is also shown via simulations.

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