@inproceedings{e0671dff8f984ec1bd34906ab24cc4c9,
title = "Equalized recovery: Weakening invariance for control and estimation: Poster abstract",
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.",
keywords = "Bounded-error estimation, Invariance control, Missing data, Robust estimators",
author = "Kwesi Rutledge and Sze Yong and Necmiye Ozay",
note = "Funding Information: This work was made possible by an Early Career Faculty grant from NASA{\textquoteright}s Space Technology Research Grants Program, grant N00014-18-1-2501 from the Office of Naval Research, NSF grant ECCS-1553873, and NSF Graduate Research Fellowship Grant Number DGE 1256260. Publisher Copyright: {\textcopyright} 2019 Authors.; 22nd ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2019 ; Conference date: 16-04-2019 Through 18-04-2019",
year = "2019",
month = apr,
day = "16",
doi = "10.1145/3302504.3313358",
language = "English (US)",
series = "HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control",
publisher = "Association for Computing Machinery, Inc",
pages = "276--277",
booktitle = "HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems",
}