Abstract

This paper is concerned with the problem of fault diagnosis and estimation for a class of nonlinear systems with unmodeled dynamics and actuator faults. First, a dynamic signal is proposed to control the unmodeled dynamics in the systems. Then, based on Lyapunov stability theory, a kind of fault diagnosis and estimation algorithm is proposed, which can estimate the actuator fault effectively and practically, the algorithm can make the observation error converge to a neighborhood of the origin. Finally, simulations are provided to indicate the validity of the proposed approach.

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