Equalized recovery: Weakening invariance for control and estimation: Poster abstract

Kwesi Rutledge, Sze Yong, Necmiye Ozay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When deployed into real environments, control systems need to be able to operate when their sensor data can become 'missing' (e.g., a vehicle's radar system may incorrectly detect a falling leaf as a vehicle on the road, or a distributed control system may lose sensor data packets while attempting to transmit). Guaranteeing safety of such systems can be handled by enforcing boundedness of the state or the estimated state of a system during operation. The form of boundedness that we use within this work is called equalized recovery and the goal of this work is to find controllers or estimators that satisfy equalized recovery in the presence of missing data. Equalized recovery relaxes the notion of invariance and allows the system states to be in a larger set during missing data events as long as the states can be steered back to the original set. Prefix-based controllers and estimators are introduced to solve this problem and methods to synthesize them are presented.

Original languageEnglish (US)
Title of host publicationHSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems
Subtitle of host publicationComputation and Control
PublisherAssociation for Computing Machinery, Inc
Pages276-277
Number of pages2
ISBN (Electronic)9781450362825
DOIs
StatePublished - Apr 16 2019
Event22nd ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2019 - Montreal, Canada
Duration: Apr 16 2019Apr 18 2019

Publication series

NameHSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control

Conference

Conference22nd ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2019
CountryCanada
CityMontreal
Period4/16/194/18/19

Fingerprint

Invariance
Recovery
Controllers
Distributed parameter control systems
Sensors
Radar systems
Control systems

Keywords

  • Bounded-error estimation
  • Invariance control
  • Missing data
  • Robust estimators

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Rutledge, K., Yong, S., & Ozay, N. (2019). Equalized recovery: Weakening invariance for control and estimation: Poster abstract. In HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control (pp. 276-277). (HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control). Association for Computing Machinery, Inc. https://doi.org/10.1145/3302504.3313358

Equalized recovery : Weakening invariance for control and estimation: Poster abstract. / Rutledge, Kwesi; Yong, Sze; Ozay, Necmiye.

HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control. Association for Computing Machinery, Inc, 2019. p. 276-277 (HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rutledge, K, Yong, S & Ozay, N 2019, Equalized recovery: Weakening invariance for control and estimation: Poster abstract. in HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control. HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control, Association for Computing Machinery, Inc, pp. 276-277, 22nd ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2019, Montreal, Canada, 4/16/19. https://doi.org/10.1145/3302504.3313358
Rutledge K, Yong S, Ozay N. Equalized recovery: Weakening invariance for control and estimation: Poster abstract. In HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control. Association for Computing Machinery, Inc. 2019. p. 276-277. (HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control). https://doi.org/10.1145/3302504.3313358
Rutledge, Kwesi ; Yong, Sze ; Ozay, Necmiye. / Equalized recovery : Weakening invariance for control and estimation: Poster abstract. HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control. Association for Computing Machinery, Inc, 2019. pp. 276-277 (HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control).
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