2016
DOI: 10.1080/00207721.2016.1177131
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Observer-based dissipative control for Markovian jump systems via delta operators

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Cited by 26 publications
(7 citation statements)
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“…Therefore, it is necessary to develop the research about Markovian jumping systems with uncertain transition rates. () Sakthivel et al considered an observer‐based dissipative control for Markovian jump systems via delta operators. The authors considered a problem of robust sampled‐data control for uncertain switched neutral systems with probabilistic input delay.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is necessary to develop the research about Markovian jumping systems with uncertain transition rates. () Sakthivel et al considered an observer‐based dissipative control for Markovian jump systems via delta operators. The authors considered a problem of robust sampled‐data control for uncertain switched neutral systems with probabilistic input delay.…”
Section: Introductionmentioning
confidence: 99%
“…It is worth noting that the present investigation only focuses on the H ∞ robust control problems for a class of singular stochastic hybrid systems with Markovian jump in the sense of mean square, and so it would be quite naturally to deal with the issue of H ∞ performance in different kinds of convergence form the view of stochastic dynamical systems, including in probability 42 and in distribution. 43 In addition, it should be believed that the idea and approach developed in this paper could provide valuable insight into the modeling, analysis, and control of many large-scale complex networked singular systems with Markovian jump form practical engineering perspective, such as communication networks, neural networks, genetic regulatory networks, and power-grid networks, which will be an interesting and challenging issue in future research in this direction.…”
Section: Resultsmentioning
confidence: 99%
“…This method is very common to solve such problem. Nevertheless, as in [42], the cone complementarity approach is adopted in this work as a second alternative. • To synthesise the observer and controller gains, the SVD [31, 32, 43], the pseudo inverse of the output matrix [33], and the Finsler's lemma with a particular structure of some decision matrices [44] have been used. However, these techniques are difficult to apply when the disturbance affects the measurements.…”
Section: Dissipative Observer‐based Control Synthesismentioning
confidence: 99%