Decentralized L1 adaptive control for large-scale systems with unknown time-varying interaction parameters

Sung Jin Yoo, Naira Hovakimyan, Chengyu Cao

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

Abstract

This paper presents the decentralized L1 adaptive controller for a class of large-scale systems with unknown timevarying interaction parameters. The design of decentralized L1 adaptive controller uses the states from decentralized identifiers. The L1 adaptive controller for each subsystem ensures uniformly bounded transient and asymptotic tracking for subsystem's input and output, simultaneously. The performance bounds between the closed-loop adaptive system and the closed-loop large-scale reference system can be systematically reduced by increasing the adaptation rate. Simulation results are provided to validate the effectiveness of the proposed control scheme.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
Pages5590-5595
Number of pages6
StatePublished - Oct 15 2010
Event2010 American Control Conference, ACC 2010 - Baltimore, MD, United States
Duration: Jun 30 2010Jul 2 2010

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

Other

Other2010 American Control Conference, ACC 2010
CountryUnited States
CityBaltimore, MD
Period6/30/107/2/10

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Yoo, S. J., Hovakimyan, N., & Cao, C. (2010). Decentralized L1 adaptive control for large-scale systems with unknown time-varying interaction parameters. In Proceedings of the 2010 American Control Conference, ACC 2010 (pp. 5590-5595). [5531027] (Proceedings of the 2010 American Control Conference, ACC 2010).