Divide & conquer in planning for self-optimizing mechatronic systems - A first application example

Benjamin Klöpper, Shinichi Honiden, Wilhelm Dangelmaier

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

1 Citation (Scopus)

Abstract

Self-optimizing mechatronic systems are a new class of technical system promising new levels of flexibility and utility in electro-mechanical systems. Planning is an important method to realize self-optimization, although today hardly used in mechatronics. In this context, planning is understood as search for a feasible sequence of operations which implements the execution of specific job assigned to a system. This search is a complex and time-consuming task. Hence, it is desirable to decompose the planning task into smaller sub problems according to paradigm of divide & conquer and use problem specific solution methods. Unfortunately, possible planning sub problems in mechatronic systems cannot be considered isolated since sub modules influence each other. This paper introduces the application of a multi-agent-planning model based on cooperative objective functions that enable the coordinated solution of sub problems.

Original languageEnglish
Title of host publicationIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation
Pages108-115
Number of pages8
DOIs
Publication statusPublished - 2011 Aug 11
Externally publishedYes
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2011 - Paris, France
Duration: 2011 Apr 112011 Apr 15

Other

OtherSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2011
CountryFrance
CityParis
Period11/4/1111/4/15

Fingerprint

Mechatronics
Planning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Klöpper, B., Honiden, S., & Dangelmaier, W. (2011). Divide & conquer in planning for self-optimizing mechatronic systems - A first application example. In IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation (pp. 108-115). [5945749] https://doi.org/10.1109/CICA.2011.5945749

Divide & conquer in planning for self-optimizing mechatronic systems - A first application example. / Klöpper, Benjamin; Honiden, Shinichi; Dangelmaier, Wilhelm.

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation. 2011. p. 108-115 5945749.

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

Klöpper, B, Honiden, S & Dangelmaier, W 2011, Divide & conquer in planning for self-optimizing mechatronic systems - A first application example. in IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation., 5945749, pp. 108-115, Symposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2011, Paris, France, 11/4/11. https://doi.org/10.1109/CICA.2011.5945749
Klöpper B, Honiden S, Dangelmaier W. Divide & conquer in planning for self-optimizing mechatronic systems - A first application example. In IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation. 2011. p. 108-115. 5945749 https://doi.org/10.1109/CICA.2011.5945749
Klöpper, Benjamin ; Honiden, Shinichi ; Dangelmaier, Wilhelm. / Divide & conquer in planning for self-optimizing mechatronic systems - A first application example. IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation. 2011. pp. 108-115
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