2020
DOI: 10.1016/j.isatra.2019.12.006
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Composite anti-disturbance control for stochastic systems with multiple heterogeneous disturbances and input saturation

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Cited by 32 publications
(13 citation statements)
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“…Remark Similar to Reference 29, the composite system (21) with saturation treatment of actuator is limited to the local region. Thus, the objective is to estimate the initial states' domain by using the polytopic bounding technique, which makes the domain is limited to the set ρ(G) and the trajectories of the composite system (20) are always kept in a region ρ(G).…”
Section: Resultsmentioning
confidence: 84%
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“…Remark Similar to Reference 29, the composite system (21) with saturation treatment of actuator is limited to the local region. Thus, the objective is to estimate the initial states' domain by using the polytopic bounding technique, which makes the domain is limited to the set ρ(G) and the trajectories of the composite system (20) are always kept in a region ρ(G).…”
Section: Resultsmentioning
confidence: 84%
“…[22][23][24][25] In recent years, the research on DOBC has been extended to stochastic systems. [26][27][28][29] However, the application of stochastic control method to DP system is rarely studied.…”
Section: Introductionmentioning
confidence: 99%
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“…In real‐world engineering scenario, however, certain systems are associated with various disturbances that originate from different sources and have varied characteristics. To conquer this issue, recently a new strategy called anti‐disturbance control (ADC) strategy is proposed and investigated in References 26‐28. In Reference 26, ADC is proposed for stochastic nonlinear systems with input saturation and multiple heterogeneous disturbances, which affirms the mean square stability of the system.…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, the input disturbance dynamics are typically assumed to be fully known (Wei et al, 2015;Fan et al, 2017;Gao et al, 2019;Shao et al, 2019). Other works assume that the disturbance dynamics were affected partially by unknown white noise signals that can better represent the varying and not fully predictable nature of disturbances (Wei et al, 2019(Wei et al, , 2020. Controlling LPV systems under saturation and input disturbances becomes more challenging when a time delay exists in the control loop (Dou et al, 2014;de Souza et al, 2019).…”
Section: Introductionmentioning
confidence: 99%