Strong Observability for a Class of Linear Hybrid Systems

Hector Rios; Jorge Davila; Andrew R. Teel

doi:10.1109/CDC.2018.8619517

Strong Observability for a Class of Linear Hybrid Systems

Hector Rios, Jorge Davila, Andrew R. Teel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper deals with the characterization of a particular structural property: strong observability, for a class of linear hybrid systems with periodic jumps. Such a property is given in terms of geometric and algebraic conditions over the matrices of the linear hybrid system. A characterization of the weakly unobservable subspace is also given for this class of hybrid systems as well as the relation it has with strong observability. An example illustrates the proposed properties.

Original language	English
Title of host publication	2018 IEEE Conference on Decision and Control, CDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3122-3127
Number of pages	6
ISBN (Electronic)	9781538613955
DOIs	https://doi.org/10.1109/CDC.2018.8619517
State	Published - 2 Jul 2018
Event	57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States Duration: 17 Dec 2018 → 19 Dec 2018

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2018-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	57th IEEE Conference on Decision and Control, CDC 2018
Country/Territory	United States
City	Miami
Period	17/12/18 → 19/12/18

Bibliographical note

Funding Information:
†CONACYT-Tecnológico Nacional de México/I.T. La Laguna, Di-visión de Estudios de Posgrado e Investigación, Blvd. Revolución y Cuauhtémoc S/N, C.P. 27000, Torreón, Coahuila, México. Email: hriosb@correo.itlalaguna.edu.mx ‡Instituto Politécnico Nacional, Section of Graduate Studies and Research, ESIME-UPT, C.P. 07340, CDMX, México. Email: jadavila@ipn.mx §Electrical & Computer Engineering Department, University of California, Santa Barbara, CA 93106-9560, USA. Email: teel@ece.ucsb.edu The authors gratefully acknowledge the financial support from CONA-CYT 270504 and SIP-IPN under grant 20180865. Research also supported in part by AFOSR grants FA9550-15-1-0155 and FA9550-18-1-0246, and NSF grant ECCS-1508757.

Publisher Copyright:
© 2018 IEEE.

Keywords

Hybrid Systems
Strong Observability

Access to Document

10.1109/CDC.2018.8619517

Cite this

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title = "Strong Observability for a Class of Linear Hybrid Systems",

abstract = "This paper deals with the characterization of a particular structural property: strong observability, for a class of linear hybrid systems with periodic jumps. Such a property is given in terms of geometric and algebraic conditions over the matrices of the linear hybrid system. A characterization of the weakly unobservable subspace is also given for this class of hybrid systems as well as the relation it has with strong observability. An example illustrates the proposed properties.",

keywords = "Hybrid Systems, Strong Observability",

author = "Hector Rios and Jorge Davila and Teel, {Andrew R.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 57th IEEE Conference on Decision and Control, CDC 2018 ; Conference date: 17-12-2018 Through 19-12-2018",

year = "2018",

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doi = "10.1109/CDC.2018.8619517",

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series = "Proceedings of the IEEE Conference on Decision and Control",

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Rios, H, Davila, J & Teel, AR 2018, Strong Observability for a Class of Linear Hybrid Systems. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619517, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 3122-3127, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 17/12/18. https://doi.org/10.1109/CDC.2018.8619517

Strong Observability for a Class of Linear Hybrid Systems. / Rios, Hector; Davila, Jorge; Teel, Andrew R.
2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 3122-3127 8619517 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Strong Observability for a Class of Linear Hybrid Systems

Abstract

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Bibliographical note

Keywords

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