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Hybrid Constrained Estimation For Linear Time-Varying Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.
Univ Western Ontario, Dept Elect & Comp Engn, London, ON, Canada.;Lakehead Univ, Dept Elect Engn, Thunder Bay, ON, Canada..
Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA..
2018 (English)In: 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), IEEE , 2018, p. 4643-4648Conference paper, Published paper (Refereed)
Abstract [en]

For linear time-varying systems with possibly constrained states, we propose a hybrid observer that guarantees the containment of the estimated state variables in a prescribed domain of interest. The hybrid observer employs a Kalmantype continuous estimator during the flows while, during the jumps, projects the state estimates onto the set described by the constraint equation. A suitable choice of the flow and jump sets allows to conclude uniform global asymptotic stability of the zero estimation error set.

Place, publisher, year, edition, pages
IEEE , 2018. p. 4643-4648
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-245017DOI: 10.1109/CDC.2018.8618656ISI: 000458114804047Scopus ID: 2-s2.0-85062166828ISBN: 978-1-5386-1395-5 (print)OAI: oai:DiVA.org:kth-245017DiVA, id: diva2:1293509
Conference
57th IEEE Conference on Decision and Control (CDC), DEC 17-19, 2018, Miami Beach, FL
Note

QC 20190305

Available from: 2019-03-05 Created: 2019-03-05 Last updated: 2020-03-05Bibliographically approved

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