Reference tracking of uncertain nonlinear multi-input multi-output quantized systems using L1 adaptive control

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

Abstract

This paper presents an L1 adaptive controller for nonlinear Multi-Input Multi-Output (MIMO) systems with unmatched uncertainties in the presence of both state and input quantization. Uniform quantization is employed with hysteresis, and the closed-loop system output is shown to track that of a stable reference system. Performance bounds for system's state and input signals are obtained, and it is shown that the system performance can be systematically improved by increasing the adaptation rate or improving the state and input quantization. Simulations are provided to corroborate the theoretical results.

Original languageEnglish (US)
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7546-7551
Number of pages6
ISBN (Print)9781467357173
DOIs
StatePublished - Jan 1 2013
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
Duration: Dec 10 2013Dec 13 2013

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other52nd IEEE Conference on Decision and Control, CDC 2013
CountryItaly
CityFlorence
Period12/10/1312/13/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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    Sun, H., Hovakimyan, N., & Başar, T. (2013). Reference tracking of uncertain nonlinear multi-input multi-output quantized systems using L1 adaptive control. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 (pp. 7546-7551). [6761088] (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2013.6761088