Aspect Behavior –Activity from APSO „Hybrid Planing“
A2 develops the foundations of behavior-oriented self-optimization. In the first phase, we investigated exploration strategies for distributed systems. These strategies enable mechatronic systems to recognize correlations between its behavior, the current environment, and the level of achievment of its current objectives. In the second phase planning methods are developed. The idea is to analyze alternative activity sequences in order to determine the system’s objectives under consideration of possible future situations. A2 also develops the Active Pattern of Self-Optimization (APSO), which provide a comprehensive documentation of the methods developed in project area A. This documentation integrates the methods into the development process.
The aim of A2 is the development of behavior-oriented methods for the execution of the three steps of self-optimization (situation analysis, determination of objectives, and behavior adaption). Behavior-oriented methods apply a blackbox modelling of system functionality and can work without explicit modelling of internal causalities. Behavior-oriented selfoptimization enables the solution of such problem, where the internal causilities can hardly be modelled or the calculation efforts of such models are to high. Behavior-oriented methods establish a cognitive system, which enable mechatronic systems to evolve during operation and to adapt themselve better for their current environment and tasks. Furthermore, the methods devloped in the projects A1 and A2 are refined regarding the conceptual design phase and thus enable the integration of the developed methods into this important phase.
Aspect Structure aus dem APSO „Hybrid Planung“
Hybrid planning for mechatronic systems
Subsequent to the first phase, where the focus was on exploration strategies to learn correlations between the system’s objectives and the enviornment, we implement the cognitive function planning. Overall, the objective is the definition of a hybrid planning, which enables to integrate the continuous behavior of mechatronic systems into efficient discrete planning methods. Thus, the complexity of planning can be handled.
Approximation of continuous behaviors is the foundation of continuous planning. It determines systems activities, which handled like state transition during discrete planning. At the same time, each activity is assigned to a continuous process. During plan execution, these continous processes are applied.
Model of the air gap generated by fuzzy-approximation
Multiagent planning for mechatronic systems
Discrete planning encompasses methods for the coordination of submodules and the coordination of autonomous systems. For these two entirely different coordination problems planning process based on multiagent-systems are developed.
The discretation of activities in planning enforces plan deviations. To handle this risk two planning strategies were developed: probabilistisc planning and knowledge based planning. These methods place emphasis on environmental influences towards the systems.
The application of methods and algorithms developed in project area A is supported by active pattern of self-optimization. These active patterns describe possible implementation of the process of self-optimization. To enable the use of active patterns and to describe cogntive aspects of the mechatronic systems, the active patterns include a new aspect, called functions.
Directors of the Subproject:
Prof. Dr.-Ing. habil. Willhelm Dangelmaier
Coordinator of the Subproject:
Publications (since 6/2005)
Begutachtete Veröffentlichungen
Adelt, P.; Donoth, J.; Gausemeier, J.; Geisler, J.; Henkler, S.; Kahl, S.; Klöpper, B.; Krupp, A.; Münch, E.; Oberthür, S.; Paiz, C.; Podlogar, H.; Porrmann, M.; Radkowski, R.; Romaus, C.; Schmidt, A.; Schulz, B.; Vöcking, H.; Witkowski, U.; Witting, K.; Znamenshchykov, O.: Selbstoptimierende Systeme des Maschinenbaus – Definitionen, Anwendungen, Konzepte. HNI-Verlagsschriftenreihe, Band 234, Paderborn, 2009
Adelt, P.; Esau, N.; Schmidt, A.: Hybrid Planning for an Air Gap Adjustment System Using Fuzzy Models. In: Journal of Robotics and Mechatronics 21(5), 2009, pp. 647-655
Adelt, P.; Rose, M.; Esau, N.: Hybride Planung zur Auswahl des optimalen RailCab-Verhaltens bezüglich der Umweltbedingungen und Streckeneigenschaften. In: 7. Paderborner Workshop "Entwurf mechatronischer Systeme", Band 272, Paderborn, Germany, Mrz. 2010, HNI Verlagsschriftenreihe, Paderborn
Adelt, P.; Schmidt, A.; Esau, N.; Kleinjohann, L.; Kleinjohann, B.; Rose, M.: Approximation of environment models for an air gap adjustment system in a hybrid planning context. In: 2008 IEEE International Symposium on Intelligent Control (ISIC '08), September 3-5, 2008, San Antonio, IEEE Control Systems Society, 2008
Burmester, S.; Giese, H.; Münch, E.; Oberschelp, O.; Klein, F.; Scheideler, P.: Tool Support for the Design of Self-Optimizing Mechatronic Multi-Agent Systems. International Journal on Software Tools for Technology Transfer (STTT), 8 (4), Springer Verlag, Berlin / Heidelberg, 2008
Dangelmaier, W.; Danne, C.; Döring, A.: Using k-means for clustering in complex automotive production systems to support a Q-learning-system. In: Zhang, D., Wang, Y., Kinsner, W. (Eds.): The 6th IEEE International Conference on cognitive informatics, August 6-8, 2007, Lake Tahoe, IEEE Computer Society, Washington, 2007
Dangelmaier, W.; Klöpper, B.: Verhaltensplanung für mechatronische Systeme - Planung als Funktion in selbstoptimierenden Systemen. wt Werkstattstechnik online, 2009(3), Mrz. 2009, pp. 123-129
Dangelmaier, W.; Klöpper, B.; Aufenanger, M.; Ruengener, N.: Aspects of Agent Based Planning in the Demand Driven Railcab Scenario. In: Haasis, H.-D., Kreowski, H.-J., Scholz-Reiter, B. (Eds.).: Proceedings of International Conference on Dynamics in Logistics, August 28-30, 2007, Bremen, Springer Verlag, Berlin, 2007
Dangelmaier, W.; Klöpper, B.; Blecken, A.: An Agent Based Modelling Approach for Stochastic Planning Parameters. In: Marik, V., Vyatkin, V., Colomno, A.W. (Eds.): 3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, September 3-5, 2005, Regensburg, Springer Verlag, 4659, Berlin, 2007, pp. 225-236
Dangelmaier, W.; Klöpper, B.; Döring, A.: A New Agent Model For Efficient Execution Of Large Agent Based Planning Systems. International Journal of Information Technology and Intelligent Computing, 1, IEEE Computational Intelligence Society - Poland Chapter Lodz, 2006, pp. 379-391
Dangelmaier, W.; Klöpper, B.; Wienstroer, J.; Döring, A.: Risk Averse Shortest Path Planning in Uncertain Domains. In: International Conference on Computational Intelligence for Modelling, Control & Automation. 29 November - 1 December, 2006, Sydney, IEEE Computer Society Press, Washington, 2006, pp. 115-121
Dangelmaier, W.; Klöpper, B.; Wienstroer, J.; Timm, T.: The Shortest Path Problem in Uncertain Domains - an Agentbased Approach with Bayesian Networks. In: Abraham, A., Chen, Y. (Eds.): Sixth International Conference Intelligent Systems Design and Applications, IEEE Computer Society Press, 2, Washington, 2006, pp. 943-948
Dangelmaier, W.; Rust, T.; Döring, A.; Klöpper, B.: A reinforcement learning approach for learning coordination rules in Production Networks. In: International Conference on Computational Intelligence for Modelling, Control & Automation. 29 November - 1 December, 2006, Sydney, IEEE Computer Society Press, Washington, 2006, pp. 84-90
Danne, C.; Dück, V.; Klöpper, B.: Selfish Motivated Cooperative Planning in Cross Networked Mechatronic System. International Transactions on Systems Science and Applications, 2, 1/2006, pp. 221-225
Danne, C.; Dück, V.; Klöpper, B.; Tichy, M.: Considering Runtime Restrictions in Self-Healing Distributed Systems. In: IEEE 21st International Conference on Advanced Information Networking and Applications (AINA-07), May 21-23, 2007, Niagara Falls, IEEE Computer Society Press, Washington, 2007
Dumitrescu R.; Gausemeier, J; Romaus, C.: Towards the design of cognitive functions in self-optimizing Systems exemplified by a Hybrid Energy Storage System. REM 2009, Glasgow; 10-11 September 2009
DUMITRESCU, R.; GAUSEMEIER, J.; DANGELMAIER, W.; KLÖPPER, B.: Solution Patterns for the Development of Self-Optimizing Systems. In: 32nd Annual Conference on Artificial Intelligence, September 15-19, 2009, Paderborn
DUMITRESCU, R.; GAUSEMEIER, J.; KAHL, S.: Tool-based approach for the development of self-optimizing systems with solution patterns. In: Proceedings of IDETC/CIE 2010 ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Montreal, Quebec, Canada, August 15-18, 2010
DUMITRESCU, R.; GAUSEMEIER, J; ROMAUS, C.: Towards the design of cognitive functions in self-optimizing Systems exemplified by a Hybrid Energy Storage System. In: REM 2009, Glasgow, 10-11 September, 2009
DUMITRESCU, R.; KLÖPPER, B.: Towards Social-Software for the Efficient Reuse of Solution Patterns for Self-optimizing Systems. In: International Conference on Knowledge Engineering and Ontology Development 2009, October 6-8, Madeira, Portugal
Dumitrescu, R; Gausemeier, j; Kahl, S.: Tool-based approach for the development of self-optimizing systems with solution patterns. In: Proceedings of IDETC/CIE 2010 ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Montreal, Quebec, Canada, August 15-18, 2010
Esau, N.; Adelt, P.; Schmidt, A.; Rose, M.: Interval Optimization in a Hybrid Planner Context for an Air Gap Adaptation System. In: 3rd Asia International Symposium on Mechatronics (AISM2008), August 27-31, Sapporo, 2008
Frank, U.; Gausemeier, J.; Dangelmaier, W.; Schmidt, A.; Zimmer, D.; Klöpper, B.: Using Active Patterns for the Conceptual Design of Self-Optimizing Systems Exemplified by an Air Gap Adjustment System. In: 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, September 4-7, Las Vegas, ASME, New York, 2007
GAUSEMEIER, J.; DONOTH, J.; DUMITRESCU, R.; TRÄCHTLER, A.; REINOLD, P.: Self-Optimization – An Approach for Intelligent Mechatronics Exemplified by an X-by-wire Vehicle. In: 8th IEEE International Conference on Industrial Informatics – INDIN 2010, July 13-16, 2010, Osaka, Japan
Gausemeier, J.; Dumitrescu, R.; Podlogar, H.: Implementing Cognitive Functions with Active Pattern in Self-Optimizing Systems. In: Proceedings of AISM 2008 Third Asia International Symposium on Mechatronics, Hokkaido University, August 27-31, Sapporo, Japan, 2008
Gausemeier, J.; Dumitrescu, R.; Podlogar, H.: Implementing Cognitive Functions with Active Pattern in Self-Optimizing Systems. In: Third Asia International Symposium on Mechatronics, August 27-31, 2008, Sapporo, 2008
Gausemeier, J.; Ebbesmeyer, P.; Steffen, D.: Selbstoptimierung als Perspektive für die Gestaltung intelligenter Fertigungssysteme. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag, München, 9/2005
Gausemeier, J.; Kahl, S.; Pook, S.: From Mechatronics to Self-Optimizing Systems. In: 7. Internationales Heinz Nixdorf Symposium, 20.-21. Februar 2008, HNI-Verlagsschriftenreihe, Band 223, Paderborn 2008
Gausemeier, J.; Zimmer, D.; Podlogar, H.; Schmidt, A.; Donoth, J.: Determination of Active Patterns during the Conceptual Design of Self-Optimizing Systems demonstrated by an Air Gap Adjustment System. In: Selvaraj, H., Rawski, M. (Eds.): 19th International Conference on Systems Engineering, August 19-21, 2008, Las Vegas, IEEE Computer Society, Los Alamitos, 2008
Gausemeier, J.; Zimmer, D.; Podlogar, H.; Schmidt, A.; Donoth, J.: Determination of Active Pattern during the Conceptual Design of Self-Optimizing Systems demonstrated by an Air Gap Adjustment System. In: Proceedings of the 19th International Conference on Systems Engineering (ICSEng 2008), August 19-21, 2008, Las Vegas, USA
Gausemeier, J.; Znamenshchykov, A.; Oberthür, S.; Podlogar, H.: An Approach for Achieving Self-Optimization in Mechatronic Systems Supported by Active Patterns. In: 8th International Conference on Intelligent System Design and Applications, November 26-28, Kaohsiung, IEEE Computer Society, Washington, 2008
Gausemeier, J; Donoth, J.; Dumitrescu, R.; Trächtler, A.; Reinold, P.: Self-Optimization – An Approach for Intelligent Mechatronics Exemplified by an X-by-wire Vehicle. 8th IEEE International Conference on Industrial Informatics – INDIN2010, July 13-16, 2010, Osaka, Japan
Klöpper, B.; Dangelmaier, W.: Coordination of Self-Optimizing Mechatronic Systems - A New Application for Multi-Agent Planning. In: International Conference on Agents and Artificial Intelligence, January 19 -21,2009, Porto, 2009
Klöpper, B.; Dangelmaier, W.: Coordination of Self-Optimizing Mechatronic Systems - A New Application for Multi-Agent Planning. In: ICAART 2009 - International Conference on Agents and Artificial Intelligence, INSTICC PRESS, Porto, Portogal, Jan. 2009, pp. 312-317
Klöpper, B.; Dürksen, D.; Ruth, D.; Thonemann, C.; Dangelmaier, W.: Combining Distributed Matchmaking and Clustering to Prune the Solution Space in Distributed Optimization Problems - Demonstrated in the RailCab System. In: Xhafa, F., Abraham, A., Köppen, M.: 8th International Conference on Hybrid Intelligent Systems, September 10-12, 2008, Barcelona, IEEE Computer Society Press, Washington, 2008, pp. 108-113
Klöpper, B.; Podlogar, H.; Gausemeier, J.; Witting, K.: Domain Spanning Search for Solution Patterns for the Conceptual Design of Self-Optimizing Systems. In: Bhowmick, S., Küng, J., Wagner, R. (Eds.): 19th International Conference on Database and Expert Systems Applications (DEXA 2008), September 1-5, 2008, Turin, Springer Verlag, Volume 5181, Berlin, 2008
Klöpper, B.; Romaus, C.; Schmidt, A.; Vöcking, H.: A Multi-Agent Planning Problem for the Coordination of Function Modules. In: Gausemeier, J., Rammig, F. J., Schäfer, W.: Self-optimizing Mechatronic Systems: Design the Future, February 20-21, 2008, Paderborn, Heinz Nixdorf Institut, Paderborn, 2008, pp. 377-393
Klöpper, B.; Romaus, C.; Schmidt, A.; Vöcking, H.: Defining Plan Metrics for Multi-Agent Planning Within Mechatronic Systems. In: ASME 2008 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2008), August 3-6, New York City, ASME, New York, 2008
Klöpper, B.; Schöneberg, T.; Pawlak, P.; Dangelmaier, W.: Combining Pheromomes and Potential Fields to consider Follow-Up-Jobs. In: Xhafa, F., Abraham, A., Köppen, M.: 8th International Conference on Hybrid Intelligent Systems, September 10-12, 2008, Barcelona, IEEE Computer Society Press, Washington, 2008, pp. 919-922
Klöpper, B.; Sondermann-Wölke, C.; Romaus, C.; Voecking, H.: Probabilistic Planning Integrated in a Multi-level Dependability Concept for Mechatronic Systems. In: 2009 IEEE Symposium on Computational Intelligence in Control and Automation, 30. Mrz. - 2. Apr. 2009, pp. 104-111
Oberthür, S.; Znamenshchykov, A.; Klöpper, B.; Vöcking, H.: Improved Flexible Resource Management by Means of Look-Ahead Scheduling and Bayesian Forecasting. In: Gausemeier, J., Rammig, F. J., Schäfer,W.: Self-optimizing Mechatronic Systems: Design the Future, February 20-21, Paderborn, Heinz Nixdorf Institut, Paderborn, 2008, pp. 361-376
Schmidt, A.; Adelt, P.; Esau, N.; Kleinjohann, L.; Kleinjohann, B.: Using Environmental Models Approximated by Fuzzy Identification for Hybrid Planning of Mechantronic Systems. In: ASME 2008 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2008), August 3-6, New York City, ASME, New York, 2008
Schmidt, A.; Esau, N.; Adelt, P.: Dynamic optimization of track sectioning in mechatronic systems for a hybrid planner. In: Proceedings of the 2008 IEEE International Conference on Mechatronics and Automation (ICMA'08), August 5-8, Takamatsu, IEEE, New York, 2008
Schmidt, A.; Esau, N.; Adelt, P.: Integrating dynamic track sectioning into a hybrid planning infrastructure. In: Proceedings of the 2008 SICE International Conference on Instrumentation, Control and Information Technology, August 20-22, Chofu, Tokyo, Society of Instrument and Control Engineers, Chofu, Tokyo, Japan, 2008
Dissertationen
Esau, N.: Emotionale Aspekte der Mensch-Roboter-Interaktion und ihre Realisierung in verhaltensbasierten Systemen. Dissertation, Universität Paderborn, 2009
Klöpper, B.: Ein Beitrag zur Verhaltensplanung für interagierende intelligente mechatronische Systeme in nicht-deterministischen Umgebungen. Dissertation, Fakultät für Wirtschaftswissenschaften, Universität Paderborn, HNI-Verlagsschriftenreihe, Paderborn, Band 253 2009
Scheideler, P.: Ein Beitrag zur erfahrungsbasierten Selbstoptimierung einer Menge technisch homogener fahrerloser Fahrzeuge. Dissertation, Universität Paderborn, Heinz Nixdorf Institut, Wirtschaftsinformatik, insbesondere CIM, HNI-Verlagsschriftenreihe, Paderborn, Band 200, 2006
Schmidt, A.: Wirkmuster zur Selbstoptimierung - Konstrukte für den Entwurf selbstoptimierender Systeme. Dissertation, Fakultät für Maschinenbau, Universität Paderborn, HNI-Verlagsschriftenreihe, Paderborn, Band 204, 2006
