Performance prediction in uncertain multi-agent systems using L1 adaptation-based distributed event-triggering

Xiaofeng Wang, Naira Hovakimyan

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter studies the impact of communication constraints and uncertainties on the performance of multi-agent systems, while closing the local loops with embedded L1 adaptive controllers. A communication and adaptation co-design scheme is proposed that helps to predict system performance. With this scheme, an agent locally determines its broadcast time instants using distributed event-triggering. The embedded L1 adaptive controller enables each agent to compensate for the local uncertainties and disturbances. Performance bounds are derived on the difference between the signals of the ideal model (in the absence of uncertainties and with perfect communication) and the real system operating with the proposed co-design scheme, which can be arbitrarily reduced subject only to hardware limitations. These results can be used for design guidelines in safety-critical applications.

Original languageEnglish (US)
Title of host publicationDistributed Decision Making and Control
Number of pages23
ISBN (Print)9781447122647
StatePublished - 2012

Publication series

NameLecture Notes in Control and Information Sciences
ISSN (Print)0170-8643

ASJC Scopus subject areas

  • Library and Information Sciences


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