Instant MPC for Linear Systems and Dissipativity-Based Stability Analysis

Keisuke Yoshida, Masaki Inoue, Takeshi Hatanaka

研究成果: Article査読

7 被引用数 (Scopus)

抄録

This letter is devoted to the concept of instant model predictive control (iMPC) for linear systems. An optimization problem is formulated to express the finite-time constrained optimal regulation control, like conventional Model predictive control (MPC). Then, iMPC determines the control action based on the optimization process rather than the optimizer, unlike MPC. The iMPC concept is realized by a continuous-time dynamic algorithm of solving the optimization; the primal-dual gradient algorithm is directly implemented as a dynamic controller. On the basis of the dissipativity evaluation of the algorithm, the stability of the control system is analyzed. Finally, a numerical experiment is performed in order to demonstrate that iMPC emulates MPC and to show its less computational burden.

本文言語English
論文番号8718794
ページ(範囲)811-816
ページ数6
ジャーナルIEEE Control Systems Letters
3
4
DOI
出版ステータスPublished - 2019 10

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 制御と最適化

フィンガープリント

「Instant MPC for Linear Systems and Dissipativity-Based Stability Analysis」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル