Decentralized Predictor Feedback of Large-scale Systems under Input Delays

Yang Zhu, Emilia Fridman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper develops a decentralized predictor feedback approach for large-scale interconnected systems with large input delays. The local control law proposed in this paper does not employ information from other neighbors. We propose two methods for the delay compensation: the backstepping-based predictor and the one based on the reduction approach. The first one leads to simpler conditions and manages with larger delays, whereas the second can be easily applied to sampled-data implementation with asynchronous sampling instants. Through a benchmark example of two coupled cart-pendulum systems, the proposed approach is demonstrated to be effective when the input delays are too large for the system to be stabilized without a predictor.

Original languageEnglish
Title of host publication2019 IEEE 58th Conference on Decision and Control, CDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4642-4647
Number of pages6
ISBN (Electronic)9781728113982
DOIs
StatePublished - Dec 2019
Event58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France
Duration: 11 Dec 201913 Dec 2019

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2019-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference58th IEEE Conference on Decision and Control, CDC 2019
Country/TerritoryFrance
CityNice
Period11/12/1913/12/19

Funding

FundersFunder number
Council for Higher Education
Planning and Budgeting Committee of the Council for Higher Education of Israel

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