Decentralized Adaptive Fuzzy Tracking Control for a Class of Nonlinear Uncertain Interconnected Systems With Multiple Faults and Denial-of-Service Attack

This article studies the decentralized adaptive fuzzy tracking control problem for a class of large-scale interconnected uncertain systems while considering faults and denial-of-service attack. It is assumed that nonlinear term, interconnected term, actuator faults coefficients, and sensor faults coefficients are unknown. Thus, fuzzy logic system and adaptive method are utilized to deal with these unknown terms. Backstepping and dynamic surface control technique are used in control design procedure and a new algorithm is proposed to obtain a switching observer gain for tracking problems with faults and cyber-attack. It turns out that the designed controller can compensate the effect of faults and uncertainties, all the signals in close-loop systems are bounded, and the tracking error converges to a small neighborhood of origin. Finally, a simulation example is given to prove the feasibility and effectiveness of the theoretical findings in this article.