Lehrstuhl Steuerung, Regelung und Systemdynamik - Univ.-Prof. Dr.-Ing. D. Söffker - Vorläuferarbeiten

Univ.-Prof. Dr.-Ing. D. Söffker

Univ.-Prof. Dr.-Ing. Dirk Söffker Universität Duisburg-Essen
Campus Duisburg
Lehrstuhl Steuerung, Regelung und Systemdynamik
MB 341
Lotharstraße 1
47057 Duisburg

Tel: +49 (0) 203 / 3 79 - 34 29
Fax: +49 (0) 203 / 3 79 - 30 27

E-Mail: soeffker [at] uni-due.de

Die Vorläuferarbeiten, die gerne übersehen werden, aber dennoch initial sind:

Moulik, B.; Söffker, D.: Optimal rule-based powermanagement for online, real-time applications with multiple sources and objectives: A review. Energies - Open Access Energy Research, Engineering and Policy Journal, Vol. 8, 2015, pp. 9049-9063.

Al-Shrouf, L.; Szczepanski, N.; Söffker, D.: Online feature-based multisensor stone detection system for bucket-wheel excavators. International Journal of Advanced Manufacturing Technology, Springer, No. 170, 2015, pp. 1-14.

Söffker, D.; Wei, C.; Wolff, S.; Saadawia, M.S.: Detection of Rotor Cracks: Comparison of an old Model- with a new Signal-based approach. Nonlinear Dynamics, 2015, pp. 1-18.

Karbaschian, M.A.; Söffker, D.: Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives. Energies - Open Access Energy Research, Engineering and Policy Journal, Vol. 7, 2014, pp. 3512-3536.

Zhang, F.; Söffker, D.: A data-driven quadratic stability condition and its application for stabilizing unknown nonlinear systems. Nonlinear Dynamics, Springer Netherlands, 2014, pp. 1-13.

Özbek, M.; Wang, S.; Marx, M.; Söffker, D.: Modeling and control of a PEM fuel cell system: A practical study based on experimental defined component behavior. Journal of Process Control, Vol. 23, No.3, March, 2013, pp. 282-293.

Junglas, M.; Kazeminia, A.; Eick, R.; Söffker, D.: Analysis and quantification of systems a formalized definition of reliability topologies and characteristic values for system quantification. Proc. of the Inst. of Mechanical Engineers, Part 0, Journal of Risk and Reliability, Vol. 226, No.2, April, 2011, pp. 203-220.

Baloian, N.; Luther, W.; Söffker, D.; Urano, Y. (Eds.): Interface and Interaction Design for Learning and Simulation Environments. Readings of the Summer Academy, Duisburg, 2009, Logos Wissenschaftsverlag, Berlin, 2010.

Dettmann, K.-U.; Hockmann, D.; Söffker, D.: New approaches to detect and to classify wear phenomena. In: Chang, F.K. (Ed.): Structural Health Monitoring 2009, Stanford University, Stanford, CA, Sept. 9-11, 2009, pp. 1225-1232.

Heidtmann, F.; Söffker, D.: Virtual Sensors for Diagnosis and Prognosis Purposes in the Context of Elastic Mechanical Structures. IEEE Sensors Journal, Vol. 9, No. 11, 2009, pp. 1577-1588.

Gamrad, D.; Oberheid, H.; Söffker, D.: Supervision of Open Systems using a Situation-Operator-Modeling Approach and Higher Petri Net Formalisms. Proc. IEEE Int. Conf. on System, Man and Cybernetics, Montreal, Canada, 2007, pp. 925-930.

Söffker, D.; Kashi, K.; Wolters, K.: Konzept zum Entwurf ausfallsicherer mechatronischer Systeme. VDI Berichte, (1883), 2005, pp. 275-283.

Söffker, D.: Understanding MMI from a system-theoretic view - Part II: Concepts for supervision of Human and Machine. Proc. 9th IFAC, IFIP, IFORS,IEA Symposium Analysis, Design, and Evaluation of Human-Machine Systems, Atlanta, Georgia, USA, September 7-9, 2004.

Söffker, D.: Understanding MMI from a system-theoretic view - Part I: Formalization MMI introducing modified situation-operator concept. Proc. 9th IFAC, IFIP, IFORS,IEA Symposium Analysis, Design, and Evaluation of Human-Machine Systems, Atlanta, Georgia, USA, September 7-9, 2004.

Söffker, D.: Zur Online-Bestimmung von Zuverlässigkeits- und Nutzungskenngrößen innerhalb des SRCE-Konzeptes. at-Automatisierungstechnik. 48 (2000), S. 383-391.

Söffker, D.: Modeling the Human-Machine Interaction: Relations between Human Planing, Cognition, Mental Representation and Action. In: Biswas, G.; McIlraith, S.: Hybrid Systems and AI: Modeling Analysis and Control of Discrete plus Continous Systems. Technical Report SS-99-04 Knowledge System Lab, Stanford University, California. Paper from the AAAI 1999 Spring Symposium, Stanford University, California, March 22-24, 1999.

Söffker, D.; Rakowsky, U.K.; Müller, P.C.; Peters, O.H.: Perspektiven regelungstheoreticher Methoden zur Überwachung dynamischer Systeme aus sicherheitstechnischer Sicht. at Automatisierungstechnik 46 (1998), S. 295-301.

 

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