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• W3014590717 abstract "This work introduces a new approach based on an event-triggered mechanism (ETM) to design finite-gain interval observers for linear continuous-time systems in the presence of unknown-but-bounded uncertainties with a priori known bounds on state disturbances and measurement noises. In this setting, aperiodic measurements sampling is controlled in a way to reduce online communication between the sensors and the estimation algorithm. The proposed ETM relies on a dynamic condition that depends on the width of the feasible domain of the system's uncertainties and the width of the estimated state enclosures. Moreover, the proposed approach guarantees the existence of a positive lower bound on the interevent times, which avoids the Zeno phenomenon. On the other hand, although the sensors data are used in an irregular sampling way, the -stability performance of the estimation error is satisfied. Finally, simulation results are given to illustrate the effectiveness of the proposed method." @default.
• W3014590717 created "2020-04-10" @default.
• W3014590717 creator A5019278976 @default.
• W3014590717 creator A5032364987 @default.
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• W3014590717 date "2021-03-11" @default.
• W3014590717 modified "2023-09-30" @default.
• W3014590717 title "Finite‐gain event‐triggered interval observers design for continuous‐time linear systems" @default.
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• W3014590717 doi "https://doi.org/10.1002/rnc.5463" @default.
• W3014590717 hasPublicationYear "2021" @default.
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