2021
DOI: 10.1016/j.automatica.2021.109556
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Extended dissipative anti-disturbance control for delayed switched singular semi-Markovian jump systems with multi-disturbance via disturbance observer

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Cited by 135 publications
(61 citation statements)
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“…Then, (1) all trajectories of the closed-loop system (8) are bounded for all initial conditions satisfying V šœŽ(0) (0) ā‰¤ 1āˆ•šœ› āˆ’ š›æ and all non-zero disturbances satisfying (2); ( 2) the H āˆž performance constraint (12) is guaranteed; (3) the system ( 8) is asymptotically stable for all initial conditions satisfying V šœŽ(0) (0) ā‰¤ 1āˆ•šœ› in the absence of disturbances.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, (1) all trajectories of the closed-loop system (8) are bounded for all initial conditions satisfying V šœŽ(0) (0) ā‰¤ 1āˆ•šœ› āˆ’ š›æ and all non-zero disturbances satisfying (2); ( 2) the H āˆž performance constraint (12) is guaranteed; (3) the system ( 8) is asymptotically stable for all initial conditions satisfying V šœŽ(0) (0) ā‰¤ 1āˆ•šœ› in the absence of disturbances.…”
Section: Resultsmentioning
confidence: 99%
“…For this example, applying Theorem 1 with Āc i ā‰œ Āc , B Meanwhile, it follows that the scalars šœŒ 1 and šœŒ 2 involved in the set š’³ šœŒ satisfy 0.0020šœŒ 2 1 + 4.8148 Ɨ 10 āˆ’5 šœŒ 2 2 ā‰¤ 1. In Figures 2 and 3, we plot the state evolutions by using the above obtained controller gains, where the time delay šœ(k) is randomly generated within [1,3]. In Figure 2 The system state x(k)…”
Section: Numerical Examplesmentioning
confidence: 99%
“…[3] addressed the stochastically exponential synchronization problem for one class of neural networks with timeā€varying delays and Markov jump parameters. Ding and Zhu [4] investigated the issues on extended dissipative antiā€disturbance control for switched singular semiā€Markovian jump systems with multiple disturbance and timeā€delay via disturbance observer, and an optimization algorithm to constrain control gain was developed to reduce control cost in practice to some extent. Cheng et al.…”
Section: Introductionmentioning
confidence: 99%
“…Shu et al [3] addressed the stochastically exponential synchronization problem for one class of neural networks with time-varying delays and Markov jump parameters. Ding and Zhu [4] investigated the issues on extended dissipative anti-disturbance control for switched singular semi-Markovian jump systems with multiple disturbance and time-delay via disturbance observer, and an optimization algorithm to constrain control gain was developed to reduce control cost in practice to some extent. Cheng et al [5] discussed the problem of the asynchronous fault detection observer design for 2D Markov jump systems expressed by a Roesser model, and an asynchronous fault detection algorithm is generated to acquire the optimal performance indices.…”
Section: Introductionmentioning
confidence: 99%
“…Wang and Zhu provide stability analysis for continuous 48 and discreteā€time 49 Sā€MJSs; Mu and Hu provide stability analysis for singular Sā€MJSs 8 and for Sā€MJSs with asynchronously impulsive jumps 21 . Ding and Zhu 50 design antiā€disturbance control for delayed singular Sā€MJSs. Wang et al 51 considers fuzzyā€modelā€based l 2 ā€ l āˆž filtering discreteā€time Sā€MJSs using semiā€Markov kernel, Shen et al 52 gives observerā€based l 2 ā€ l āˆž control for singular perturbed Sā€MJSs with an improved weighted TOD protocol.…”
Section: Introductionmentioning
confidence: 99%