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This paper investigates the adaptive fuzzy decentralized fault-tolerant control (FTC) problem for a class of nonlinear large-scale systems in strict-feedback form. The considered nonlinear system contains the unknown nonlinear functions, i.e., unmeasured states and actuator faults, which are modeled as both loss of effectiveness and lock-in-place. With the help of fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is designed to estimate the unmeasured states. By combining the backstepping technique with the nonlinear FTC theory, a novel adaptive fuzzy decentralized FTC scheme is developed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are bounded, and the tracking errors between the system outputs and the reference signals converge to a small neighborhood of zero by appropriate choice of the design parameters. Simulation results are provided to show the effectiveness of the control approach.
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Shaocheng Tong
Liaoning University of Technology
Baoyu Huo
Qilu University of Technology
Yongming Li
Southwest Petroleum University
IEEE Transactions on Fuzzy Systems
Liaoning University of Technology
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Tong et al. (Mon,) studied this question.
synapsesocial.com/papers/6a17fdd2d990e918e6b4c46f — DOI: https://doi.org/10.1109/tfuzz.2013.2241770