2020
DOI: 10.1155/2020/5038238
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Asynchronous Adaptive Fault-Tolerant Control for Markov Jump Systems with Actuator Failures and Unknown Nonlinear Disturbances

Abstract: This article investigates an asynchronous adaptive fault-tolerant control problem for Markov jump systems (MJSs) with actuator failures and absolutely unknown nonlinear disturbances. The hidden Markov model (HMM) is used to describe the asynchronization phenomenon between the controller and the modes of the original system. Moreover, by using the designed adaptive law, the values of actuator partial failures and the bounds of the unknown nonlinear disturbances can be estimated, respectively. Furthermore, the H… Show more

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Cited by 3 publications
(6 citation statements)
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“…Hence, Θ −1 p (t)will be not defined well. So the introduction of parameter ρ(t) is indispensable, which is not considered in [29,34].…”
Section: Actuator Faults Analysismentioning
confidence: 99%
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“…Hence, Θ −1 p (t)will be not defined well. So the introduction of parameter ρ(t) is indispensable, which is not considered in [29,34].…”
Section: Actuator Faults Analysismentioning
confidence: 99%
“…□ Remark 9. In eorem 1, a sufficient condition is derived by introducing Lyapunov-Krasovskii functional (34) to guarantee the uniformly ultimate boundedness of the solutions of NSUSVs (25) with the multiple types of actuator faults and external disturbance. Moreover, the designed controller is based on the releasing state of adaptive event-triggered mechanism (5) and the online estimation of proposed augmented disturbance (18).…”
Section: T)mentioning
confidence: 99%
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“…In recent decades, a swarm of researchers interested in the failed actuators has rushed in. For example, the issue involving partial fault of actuators has been vastly proposed, 1523 and the project regarding actuator bias fault has been discussed in Ma and Yang. 24 Besides, the work by Zhao et al 25 has solved the non-fragile fault-tolerant control for a class of nonlinear MJS, where the multiple Markov chains are introduced to model the multiple intermittent actuator faults.…”
Section: Introductionmentioning
confidence: 99%