Fault detection and fault-tolerant control for discrete-time multi-agent systems with sensor faults: A data-driven method

This paper investigates the fault detection and fault-tolerant control (FTC) problems for discrete-time multi-agent systems (MASs) with sensor faults. Firstly, the dynamic linearization method is introduced to describe the unknown MASs with sensor faults. Afterward, a decentralized fault detection method based on data-driven observers is proposed. And a fault estimator based on RBF neural networks for estimating multiple sensor faults is designed for estimating multiple sensor faults. Then, on the basis of the designed estimator, a distributed model-free sliding mode FTC strategy is provided to ensure the stability of the considered MASs when suffering from certain sensor faults. Finally, a simulated example is used to illustrate the efficiency of the proposed method.