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

Yutaka Iino, Yasuhiro Hayashi

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

Abstract

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.

Original languageEnglish
Title of host publication2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1486-1493
Number of pages8
ISBN (Electronic)9784907764678
DOIs
Publication statusPublished - 2019 Sep
Event58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019 - Hiroshima, Japan
Duration: 2019 Sep 102019 Sep 13

Publication series

Name2019 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

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ASJC Scopus subject areas

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

Cite this

Iino, Y., & Hayashi, Y. (2019). Multiple Scenario-based Model Predictive Control with Decision Time Limit Determination of Scenario Selection. In 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019 (pp. 1486-1493). [8859962] (2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2019.8859962