Event-Triggered State Estimation, Control and Learning

Dawei Shi; Wei Huo; Karl H. Johansson; Ling Shi

doi:10.1016/B978-0-443-14081-5.00062-3

Event-Triggered State Estimation, Control and Learning

Dawei Shi
, Wei Huo
, Karl H. Johansson
, Ling Shi

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

Abstract

Event-triggered sampling and control provides an effective solution to actively acquire measurement information and selectively perform estimation or control updates for enhanced system performance. In this chapter, we provide a concise overview of event-triggered state estimation and control developed for networked systems with limited communication or computation resources, as well as the recent developments on event-triggered learning that enable active discovery of system dynamics with enhanced data efficiency. Key technical challenges, major developments, and potential future directions are also discussed.

Original language	English
Title of host publication	Encyclopedia of Systems and Control Engineering
Publisher	Elsevier
Pages	V1:297-V1:308
ISBN (Electronic)	9780443140815
ISBN (Print)	9780443140808
DOIs	https://doi.org/10.1016/B978-0-443-14081-5.00062-3
Publication status	Published - 1 Jan 2025
Externally published	Yes

Keywords

Event-triggered control
Learning-based control
Networked control systems
State estimation

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10.1016/B978-0-443-14081-5.00062-3

Cite this

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title = "Event-Triggered State Estimation, Control and Learning",

abstract = "Event-triggered sampling and control provides an effective solution to actively acquire measurement information and selectively perform estimation or control updates for enhanced system performance. In this chapter, we provide a concise overview of event-triggered state estimation and control developed for networked systems with limited communication or computation resources, as well as the recent developments on event-triggered learning that enable active discovery of system dynamics with enhanced data efficiency. Key technical challenges, major developments, and potential future directions are also discussed.",

keywords = "Event-triggered control, Learning-based control, Networked control systems, State estimation",

author = "Dawei Shi and Wei Huo and Johansson, \{Karl H.\} and Ling Shi",

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AU - Huo, Wei

AU - Johansson, Karl H.

AU - Shi, Ling

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N2 - Event-triggered sampling and control provides an effective solution to actively acquire measurement information and selectively perform estimation or control updates for enhanced system performance. In this chapter, we provide a concise overview of event-triggered state estimation and control developed for networked systems with limited communication or computation resources, as well as the recent developments on event-triggered learning that enable active discovery of system dynamics with enhanced data efficiency. Key technical challenges, major developments, and potential future directions are also discussed.

AB - Event-triggered sampling and control provides an effective solution to actively acquire measurement information and selectively perform estimation or control updates for enhanced system performance. In this chapter, we provide a concise overview of event-triggered state estimation and control developed for networked systems with limited communication or computation resources, as well as the recent developments on event-triggered learning that enable active discovery of system dynamics with enhanced data efficiency. Key technical challenges, major developments, and potential future directions are also discussed.

KW - Event-triggered control

KW - Learning-based control

KW - Networked control systems

KW - State estimation

UR - https://www.scopus.com/pages/publications/105028842738

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SP - V1:297-V1:308

BT - Encyclopedia of Systems and Control Engineering

PB - Elsevier

ER -

Event-Triggered State Estimation, Control and Learning

Abstract

Keywords

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