An adaptive extended fuzzy function state-observer based control with unknown control direction

In this paper, a novel adaptive extended fuzzy function state observer-based controller is proposed to control a class of unknown or uncertain nonlinear systems. the controller uses nussbaum-gain technique from literature to prevent controller singularity with unknown control direction and the controller degree of freedom is increased. a state observer which employs the adaptive extended fuzzy function system to approximate a nonlinear system dynamics and estimates the unmeasurable state. the stability of closed-loop control system are shown using lyapunov stability criterion and nussbaum function property. the proposed and conventional fuzzy system based controllers are designed to control an inverted pendulum in simulation and a flexible-joint manipulator in real-time experiment. the integral of absoulte error (iae) of tracking, integral of squared error (ise) of tracking and integral of required absolute control signal (iau) performances are compared in applications. the aim of the paper is not only to improve the tracking performances, but also to implement the adaptive extended fuzzy function based controller to a real-time system and conduct the tracking with unknown control direction.