Actuator faults reconstruction using reduced-order fuzzy observer structures

This paper focuses on the principle for designing reduced-order fuzzy-observer-based actuator fault reconstruction for nonlinear systems. The problem addressed can be indicated as the generalized approach for a kind of reduced-order fuzzy observer design with special gain matrix structure that depends on the given matching conditions. Using the Lyapunov theory, design conditions are obtained and expressed in terms of linear matrix inequalities, and the terms for uniform estimation of the actuator faults are given.