Model reference adaptive control for constrained linear systems

Pham Anh Tu, Kenko Uchida

研究成果

抄録

The presence of state and control constraints in physi cal systems may lead to performance deterioration and instability if not adequately accounted for in controller design processes. Therefore, a procedure of state and control constraint fulfillment for uncertain linear systems, which firstly require an adaptive controller, is proposed. Model Reference Adaptive Control (MRAC) Method is selected to design the controller, and Lyapunov stability theory is used to obtained adaptive laws. To solve the constraint fulfillment problem, a concept of maximal output admissible set [8], [11] is utilized to predict safe operation of the plant. Constraint fulfill ment procedure is described as polynomial optimization problems, and a numerical design example is carried out to support the arguments.

本文言語English
ホスト出版物のタイトルProceedings of the IASTED International Conference on Modelling, Identification and Control
ページ294-299
ページ数6
DOI
出版ステータスPublished - 2011
外部発表はい
イベント31st IASTED International Conference on Modelling, Identification, and Control, MIC 2011 - Innsbruck
継続期間: 2011 2 142011 2 16

Other

Other31st IASTED International Conference on Modelling, Identification, and Control, MIC 2011
CityInnsbruck
Period11/2/1411/2/16

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • ソフトウェア
  • モデリングとシミュレーション

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