Adaptive fuzzy finite-time fault-tolerant control for switched nonlinear large-scale systems with actuator and sensor faults

Adaptive decentralized sensor failure compensation control for nonlinear switched interconnected systems with average dwell time

“…The works 35,36 presented several fuzzy‐approximation‐based output feedback FTC methods for nonlinear switched systems with sensor failures. For nonlinear switched LSSs under arbitrary switchings, Zhang et al 37 addressed the finite‐time adaptive sensor FTC issue. Nevertheless, as far as we know, no effort has been devoted to observer‐based decentralized adaptive sensor failure compensation for nonlinear switched LSSs under ADT switchings until now.…”

“…In this study, by introducing a novel adaptive sensor failure compensation mechanism which contains the error signal, the challenges incurred by the partial loss of the effectiveness of sensors are successfully solved. By utilizing only false output information, a new switched state observer is established to estimate unmeasured states. Moreover, the conservativeness aroused by the adoption of common adaptive laws in the works 23‐25,37 can be significantly reduced, and the estimation performance subject to persistently switchings is also guaranteed by introducing a delta function in adaptive laws.…”

Practical finite‐time sampled‐data output consensus for a class of nonlinear multiagent systems via output feedback

“…It should be emphasized that all the aforementioned fruits 20‐30 merely following their interests for the asymptotic control researches, and for finite‐time control which processes higher engineering control efficiency, none of the aforementioned results 20‐30 were considered. However, for many practical industrial nonlinear systems, such as the boiler water temperature automatic control system 31 and the fluid control system, 32 the water temperature and the liquid storage in open flume are necessary to reach the set temperature and the water level in finite time, respectively, therefore the broad application of finite‐time control in industrial fields has stimulated the development of the related theoretical researches (see the related works 33‐37 ). Finite‐time fault‐tolerant control algorithms were offered in References 33 and 34 for the nonlinear systems, and adaptive finite‐time tracking control was realized in Reference 35 for the uncertain strict‐feedback nonlinear system with full state constraints.…”

“…However, for many practical industrial nonlinear systems, such as the boiler water temperature automatic control system 31 and the fluid control system, 32 the water temperature and the liquid storage in open flume are necessary to reach the set temperature and the water level in finite time, respectively, therefore the broad application of finite‐time control in industrial fields has stimulated the development of the related theoretical researches (see the related works 33‐37 ). Finite‐time fault‐tolerant control algorithms were offered in References 33 and 34 for the nonlinear systems, and adaptive finite‐time tracking control was realized in Reference 35 for the uncertain strict‐feedback nonlinear system with full state constraints. Fuzzy logic systems were utilized in Reference 36 to tackle the finite‐time adaptive fuzzy control problem of the multi‐input and multi‐output (MIMO) nonlinear nonstrict feedback system, and such fuzzy logic systems were also extended in Reference 37 to address the stochastically finite‐time control problem of the uncertain stochastic nonlinear system in nontriangular form.…”

“…In addition, the aforementioned finite‐time control literature 33‐37 for nonlinear systems were further extended to the finite‐time consensus researches for nonlinear multiagent systems, for instance, see References 38‐41. The finite‐time consensus investigation was concerned in Reference 38 for the nonlinear multiagent system, and the practical finite‐time consensus was explored in Reference 39 for the second‐order heterogeneous switched nonlinear multiagent system.…”