Multiple Scenario-based Model Predictive Control with Decision Time Limit Determination of Scenario Selection

研究成果: Conference contribution

抄録

In the Cyber Physical System or the Digital Twin, the control strategy generates multiple scenarios in the cyber world with optimization of future models and objective functions, and these scenarios are utilized to determine an optimal strategy, which is then applied to the physical world. In these procedures, the decision-making to select and fix a future scenario and its time limit are important factors. In this study, considering the scenario decision time limit, a procrastination strategy is introduced and formulated as a new model predictive control framework. It is to postpone the decision and preserve the freedom of scenario choice for the future. In the proposed method, the concept of a common admissible set for control trajectory and its branch point are introduced. A simple numerical example and an application to an energy management problem are shown to illustrate and verify the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトル2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1486-1493
ページ数8
ISBN(電子版)9784907764678
DOI
出版ステータスPublished - 2019 9
イベント58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019 - Hiroshima, Japan
継続期間: 2019 9 102019 9 13

出版物シリーズ

名前2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019

Conference

Conference58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
CountryJapan
CityHiroshima
Period19/9/1019/9/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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