2020
DOI: 10.1002/rnc.4931
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Reachable set estimation for switched nonlinear positive systems with impulse and time delay

Abstract: This paper deals with the reachable set estimation for the continuous-time switched nonlinear positive systems with impulse, disturbance, and mixed time-varying delays under the average dwell time switching. Based on a method developed in positive systems, sufficient conditions are established such that all solutions of the system converge exponentially to a ball. Both the bound of the reachable set and the convergence rate are determined explicitly. Compared with the existing result, the average dwell time gi… Show more

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Cited by 26 publications
(10 citation statements)
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“…To overcome this difficulty, inserting (12) into (15), (13) into (16), and (14) into (17), we have the following relations:…”
Section: The 3s-lsi Algorithmmentioning
confidence: 99%
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“…To overcome this difficulty, inserting (12) into (15), (13) into (16), and (14) into (17), we have the following relations:…”
Section: The 3s-lsi Algorithmmentioning
confidence: 99%
“…11 A deal of research has been conducted on the identification of linear systems, bilinear systems, 12,13 nonlinear systems 14,15 and time-delay systems. [16][17][18] However, the nonlinear terms in the bilinear model pose some challenges to bilinear system identification. During the past decades, the minimal order state observer and the stable state estimator were considered for bilinear systems, and their necessary conditions for the existence of observers were discussed, but the estimation error depended on the input of the systems.…”
Section: Introductionmentioning
confidence: 99%
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“…Up to now, the RSE approach has been used to analyze various systems, including switch systems, 17,18 singular systems, [19][20][21] neural networks, [22][23][24] and so forth. Among these, time delays are often considered when applying the analysis of the RSE since they are inescapable in many control systems and may influence their performance and stability.…”
Section: Introductionmentioning
confidence: 99%
“…This method does not rely on the LKFbased technique, and meanwhile the properties of some special matrices including Metzler/nonnegative matrices are used to estimate the system state. Later, this approach is further developed to nonlinear systems [17], fuzzy systems [3], and hybrid systems [33,32].…”
mentioning
confidence: 99%