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Summary This paper investigates the adaptive fuzzy output feedback fault‐tolerant tracking control problem for a class of switched uncertain nonlinear systems with sensor faults and actuator faults. Both the faults considered are unknown, the existing schemes fail to solve the control problem. In this paper, an adaptive estimation coefficient is introduced to mitigate the effects of sensor faults, then a state observer is constructed to estimate unmeasured states and mitigate the effects of actuator faults. Fuzzy logic systems are employed to approximate the unknown nonlinear functions. By the backstepping technique and the Lyapunov function method, an adaptive fuzzy output feedback fault‐tolerant controller is designed. It is proven that the proposed control scheme with average dwell time constraints can guarantee that all states of the closed‐loop system are semi‐global uniformly ultimately bounded and the tracking error can converge to a small neighborhood of zero. Finally, a simulation example is given to show the effectiveness of the proposed scheme.

In this article, an adaptive neural fault-tolerant decentralized tracking control problem is investigated for switched stochastic large-scale uncertain nonlinear systems, in which time-varying delay and unknown control coefficient are under consideration. By incorporating the quadratic Lyapunov function and Lyapunov Krasovskii function into the backstepping approach, an adaptive neural fault-tolerant decentralized control strategy is proposed, which ensures that signals in the closed-loop system are stable in probability and the tracking error converges to a small neighborhood of the origin under arbitrary switching. At last, to verify the presented strategy is feasible, a simulation example is given.

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In this article, a new sampled-data stabilization scheme is proposed for switched nonlinear systems in which all subsystems may be unstabilizable.A state-dependent switching condition is derived and a controller is constructed by using only sampled information. It is proven that the closed-loop system is asymptotically stable under the developed state-dependent switching strategy. Finally, the proposed scheme is applied to a switched induction heater circuit system and a numerical example is provided to verify its effectiveness.