Adaptive H-infinity Synthesis for Linear Systems with Uncertain Parameters

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

A performance-based approach is developed for adaptive robust control of linear systems with uncertain parameters. The dual control objective involves the disturbance attenuation and worst case identification of the unknown parameters. The proposed synthesis procedure relies on sufficient conditions, given in terms of suitable solutions of perturbed differential Riccati equations to exist. Although being reminiscent from the standard H-infinity synthesis, the resulting Riccati equations are to be updated on-line with estimated values of the unknown plant parameters. Capabilities of the proposed synthesis are illustrated by simulations made for a scalar linear system with unknown parameters

Details

Authors
Organisations
External organisations
  • National Polytechnic Institute, Tijuana
  • Center for Scientific Research and Higher Education at Ensenada
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering
Original languageEnglish
Title of host publication 2018 IEEE Conference on Decision and Control (CDC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5512-5517
ISBN (Electronic)978-1-5386-1395-5
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes
Event57th IEEE Conference on Decision and Control - Fontainebleau, Miami Beach, United States
Duration: 2018 Dec 172018 Dec 19
https://cdc2018.ieeecss.org/

Conference

Conference57th IEEE Conference on Decision and Control
CountryUnited States
CityMiami Beach
Period2018/12/172018/12/19
Internet address

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