Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systems

Abstract

Summary This article presents a generalized learning observer (GLO) design for the simultaneous estimation of states and actuator faults for polytopic quasi‐linear parameter varying systems. The proposed approach is based on the use of a GLO, which generalized the existing results on the proportional‐integral observers. Conditions of existence and stability of the observer are given through the stability analysis in the sense of Lyapunov. Its design is obtained in terms of a set of linear matrix inequalities. The performance of the proposed method is evaluated by simulation in a one‐link‐flexible joint robot system.