Bounded-error estimator design with missing data patterns via state augmentation

Syed M. Hassaan, Qiang Shen, Sze Yong

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

Abstract

In this paper, we present a bounded-error estimator that achieves equalized recovery for discrete-time time-varying affine systems subject to missing data. By augmenting the system state estimate with a Luenberger-like observer error, we formulate the equalized recovery estimator design problem as a semi-infinite optimization problem, and leverage tools from robust optimization to solve it. Due to the design freedom introduced by the Luenberger-like observer, we can place the eigenvalues of the augmented system to desired locations, which results in a more optimal intermediate level in the equalized recovery problem than existing approaches in the literature. Furthermore, as an extension of the proposed equalized recovery estimator, we consider missing data in the estimator design, where a fixed-length language is used to specify the allowable missing data patterns. Simulation examples involving an adaptive cruise control system are given to demonstrate the equalized recovery performance of the proposed estimator.

Original languageEnglish (US)
Title of host publication2019 American Control Conference, ACC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages447-452
Number of pages6
ISBN (Electronic)9781538679265
StatePublished - Jul 1 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: Jul 10 2019Jul 12 2019

Publication series

NameProceedings of the American Control Conference
Volume2019-July
ISSN (Print)0743-1619

Conference

Conference2019 American Control Conference, ACC 2019
CountryUnited States
CityPhiladelphia
Period7/10/197/12/19

Fingerprint

Recovery
Adaptive cruise control
Control systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Hassaan, S. M., Shen, Q., & Yong, S. (2019). Bounded-error estimator design with missing data patterns via state augmentation. In 2019 American Control Conference, ACC 2019 (pp. 447-452). [8815097] (Proceedings of the American Control Conference; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc..

Bounded-error estimator design with missing data patterns via state augmentation. / Hassaan, Syed M.; Shen, Qiang; Yong, Sze.

2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 447-452 8815097 (Proceedings of the American Control Conference; Vol. 2019-July).

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

Hassaan, SM, Shen, Q & Yong, S 2019, Bounded-error estimator design with missing data patterns via state augmentation. in 2019 American Control Conference, ACC 2019., 8815097, Proceedings of the American Control Conference, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., pp. 447-452, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 7/10/19.
Hassaan SM, Shen Q, Yong S. Bounded-error estimator design with missing data patterns via state augmentation. In 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 447-452. 8815097. (Proceedings of the American Control Conference).
Hassaan, Syed M. ; Shen, Qiang ; Yong, Sze. / Bounded-error estimator design with missing data patterns via state augmentation. 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 447-452 (Proceedings of the American Control Conference).
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