L1 adaptive control of uncertain networked control systems

Xiaofeng Wang; Evgeny Kharisov; Naira Hovakimyan

L₁ adaptive control of uncertain networked control systems

Xiaofeng Wang, Evgeny Kharisov, Naira Hovakimyan

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

Abstract

This paper studies the real-time implementation of output-feedback L ₁ adaptive controller over real-time networks. Event-triggering schedules the data transmission dependent upon errors exceeding certain threshold. A continuoustime L₁ adaptive control algorithm is provided. Stability conditions are also provided in terms of sampling frequency, event thresholds, and allowable transmission delays. We show that the difference between the states of the resulting networked systems and an ideal model is uniformly bounded, which can be further reduced by increasing the sampling frequency and communication frequency.

Original language	English (US)
Title of host publication	2013 American Control Conference, ACC 2013
Pages	4122-4127
Number of pages	6
State	Published - Sep 11 2013
Event	2013 1st American Control Conference, ACC 2013 - Washington, DC, United States Duration: Jun 17 2013 → Jun 19 2013

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Other

Other	2013 1st American Control Conference, ACC 2013
Country/Territory	United States
City	Washington, DC
Period	6/17/13 → 6/19/13

ASJC Scopus subject areas

Electrical and Electronic Engineering

Library availability

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Cite this

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title = "L1 adaptive control of uncertain networked control systems",

abstract = "This paper studies the real-time implementation of output-feedback L 1 adaptive controller over real-time networks. Event-triggering schedules the data transmission dependent upon errors exceeding certain threshold. A continuoustime L1 adaptive control algorithm is provided. Stability conditions are also provided in terms of sampling frequency, event thresholds, and allowable transmission delays. We show that the difference between the states of the resulting networked systems and an ideal model is uniformly bounded, which can be further reduced by increasing the sampling frequency and communication frequency.",

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AB - This paper studies the real-time implementation of output-feedback L 1 adaptive controller over real-time networks. Event-triggering schedules the data transmission dependent upon errors exceeding certain threshold. A continuoustime L1 adaptive control algorithm is provided. Stability conditions are also provided in terms of sampling frequency, event thresholds, and allowable transmission delays. We show that the difference between the states of the resulting networked systems and an ideal model is uniformly bounded, which can be further reduced by increasing the sampling frequency and communication frequency.

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