This paper studies model reference adaptive control for switched linear systems with large parametric uncertainties. An aggregate leakage approach is proposed to develop a novel adaptive law, which overcomes the state-of-the-art assumption of knowing the upper and lower bounds of the parameter uncertainty. In addition, a switching law is developed based on mode-dependent average dwell time scheme, which exploits the information of the known reference model for every subsystem, i.e., average dwell time is realized in a subsystem sense. Based on the proposed time-constraint scheme, switching signals that are less conservative than those based on dwell time and average dwell time can be designed. Global uniform ultimate boundedness of the closed-loop adaptive switched system is guaranteed. Furthermore, the tracking error is shown to be upper bounded and also an ultimate bound is presented. Simulations using NASA GTM aircraft illustrate the proposed method.

Original languageEnglish
Title of host publicationProceedings 8th International Conference on Information Science and Technology, ICIST 2018
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages7
ISBN (Print)9781538637814
DOIs
Publication statusPublished - 2018
Event8th International Conference on Information Science and Technology - Cordoba, Spain
Duration: 30 Jun 20186 Jul 2018

Conference

Conference8th International Conference on Information Science and Technology
Abbreviated titleICIST 2018
CountrySpain
CityCordoba
Period30/06/186/07/18

    Research areas

  • adaptive control, an aggregate leakage approach, average dwell time, switched linear systems

ID: 46681553