title: Output feedback adaptive fuzzy control of uncertain MIMO nonlinear systems with unknown input nonlinearities.
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.
authors.affiliation: Department of Electrical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran. Electronic address: shahnazi@guilan.ac.ir.
authors.forename: Reza
authors.initials: R
authors.lastname: Shahnazi
keywords: Adaptive control; Input nonlinearity; Nonlinear control; Universal approximation theorem