2018
DOI: 10.1002/rnc.4373
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Event‐triggered state‐dependent switching rule design for switched linear systems

Abstract: Summary This paper is devoted to the synthesis problem of switched linear systems. We come up with a novel state‐dependent switching rule in terms of an event‐triggered mechanism. This switching rule is able to expand the degree of freedom of bilinear matrix inequality where the synthesis problem is constructively formulated. It is overwhelmingly critical that the number of decision variables, which determines the conservativeness of our results under the proposed event‐triggered state‐dependent switching rule… Show more

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Cited by 12 publications
(14 citation statements)
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References 33 publications
(108 reference statements)
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“…- (29) can guarantee that all the system states in the resulting closed-loop system asymptotically converge to the origin under arbitrary switchings.…”
Section: Theoremmentioning
confidence: 99%
See 3 more Smart Citations
“…- (29) can guarantee that all the system states in the resulting closed-loop system asymptotically converge to the origin under arbitrary switchings.…”
Section: Theoremmentioning
confidence: 99%
“…where a i,1 , … , a i,i and b 1 , … , b n are some constants related to parameter c. Then, according to the two cases discussed in (25)- (29), the proof will be presented. Case 1: There exists no triggering instant in consecutive switching interval [t ′ p , t ′ p+1 ), shown in Figure 1(i).…”
Section: Theoremmentioning
confidence: 99%
See 2 more Smart Citations
“…To make resultant closed‐loop systems FTB, corresponding controller is usually designed to match with each subsystem. However, when sampled‐data controllers are used for switched systems, the active switched subsystem and the matched sampled‐data controller may produce mismatched, resulting in inconsistency between the plant mode and the controller mode . This kind of mode mismatching, which is an important subject in the research field of switched systems, will produce complex state trajectories and increase complexity of FTB analysis.…”
Section: Introductionmentioning
confidence: 99%