Predictive control and estimation for systems with information structured constraints

Toru Namerikawa, Takeshi Hatanaka, Masayuki Fujita

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

Abstract

This paper deals with a predictive control and estimation problem with information structured constraints in a constrained finite-time optimal control framework. A large-scale system with information structures is defined as a system in which each subsystem collects spatio-temporally different information, and in general it is necessary to collect and process information in a distributed fashion. We propose a novel predictive control scheme and an estimation law with local information that each distributed subsystem obtains. The effectiveness of the proposed control and estimation law is evaluated through numerical simulations of a simplified micro grid.

Original languageEnglish
Title of host publicationICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
Pages538-543
Number of pages6
Publication statusPublished - 2011 Dec 1
Event2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 - Gyeonggi-do, Korea, Republic of
Duration: 2011 Oct 262011 Oct 29

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2011 11th International Conference on Control, Automation and Systems, ICCAS 2011
CountryKorea, Republic of
CityGyeonggi-do
Period11/10/2611/10/29

Keywords

  • Constrained system
  • Estimation
  • Information structure
  • Predictive control
  • Smart/Micro grids

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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