F.E.Cellier - Publications Related to Discrete Event Simulation

Books

  1. Cellier, F.E. and E. Kofman (2006), Continuous System Simulation, Springer-Verlag, New York.

  2. Sarjoughian, H.S. and F.E. Cellier, Eds. (2001), Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-based Theories and Methodologies - A Tribute to the 60th Birthday of Bernard P. Zeigler, Springer-Verlag, New York, ISBN: 0-387-95065-6, 397 p.

  3. Sarjoughian, H.S., F.E. Cellier, M.M. Marefat, and J.W. Rozenblit, Eds. (2000), AI, Simulation and Planning in High Autonomy Systems, Tucson, AZ, March 6-8, 2000, The Society for Computer Simulation, ISBN: 1-56555-194-X, 372 p.

Chapters in Books

  1. Cellier, F.E. (1979), Combined Continuous/Discrete System Simulation Languages - Usefulness, Experiences and Future Development, Methodology in Systems Modelling and Simulation (B.P. Zeigler, M.S. Elzas, G.J. Klir, and T.I. Ören, eds.), North-Holland, Amsterdam, the Netherlands, pp.201-220.

  2. Sarjoughian. H.S. and F.E. Cellier (2001), Toward a Unified Foundation for Simulation-based Acquisition, Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-based Theories and Methodologies - A Tribute to the 60th Birthday of Bernard P. Zeigler (H.S. Sarjoughian and F.E. Cellier, eds.), Springer-Verlag, New York, pp. 1-14.

  3. Zeigler, B.P., S.D. Chi, and F.E. Cellier (1991), Model-Based Architecture for High Autonomy Systems, Proc. EURISCON'91 - European Robotics and Intelligent Systems Conference, Corfu, Greece, pp.3-22.

Journal Papers

  1. Beltrame, T. and F.E. Cellier (2006), Quantised State System Simulation in Dymola/Modelica Using the DEVS Formalism, Simulation News Europe, 16(3), pp.3-12.

  2. Bergero, F., E. Kofman, and F.E. Cellier (2013), A Novel Parallelization Technique for DEVS Simulation of Continuous and Hybrid Systems, Simulation, 89(6), pp.663-683.

  3. Castro, R., E. Kofman, and F.E. Cellier (2010), Quantization-based Integration Methods for Delay-differential Equations, Simulation Modelling Practice and Theory, 19(1), pp.314-336.

  4. Migoni, G., M. Bartolotto, E. Kofman, and F.E. Cellier (2013), Linearly Implicit Quantization-based Integration Methods for Stiff Ordinary Differential Equations, Simulation Modelling Practice and Theory, 35(3), pp.118-136.

  5. Migoni, G., E. Kofman, and F.E. Cellier (2007), Integración por Cuantificación de Sistemas Stiff, Revista Iberoamericana de Automática e Informática Industrial, 4(3), pp.97-106.

  6. Migoni, G., E. Kofman, and F.E. Cellier (2012), Quantization-based New Integration Methods for Stiff ODEs, Simulation, 88(4), pp.387-407.

  7. Sanz, V., A. Urquía, F.E. Cellier, and S. Dormido (2010), System Modeling Using the Parallel DEVS Formalism and the Modelica Language, Simulation Modeling Practice and Theory, 18(7), pp.998-1018.

  8. Sanz, V., A. Urquía, F.E. Cellier, and S. Dormido (2012), Modeling of Hybrid Control Systems Using the DEVSLib Modelica Library, Control Engineering Practice, 20(1), pp.24-34.

  9. Sanz, V., A. Urquía, F.E. Cellier, and S. Dormido (2013), Hybrid System Modeling Using the SIMANLib and ARENALib Modelica Libraries, Simulation Modeling Practice and Theory, 37(1), pp.1-17.

  10. Wang, Q., and F.E. Cellier (1991), Time Windows: An Approach to Automated Abstraction of Continuous-time Models into Discrete-event Models, Intl. J. General Systems, 19(3), pp.241-262.

  11. Zeigler, B.P., F.E. Cellier, and J.W. Rozenblit (1988), Design of a Simulation Environment for Laboratory Management by Robot Organizations, J. of Intelligent and Robotic Systems, 1, pp.299-309.

Keynote Addresses

  1. Cellier, F.E. (1979), Combined Continuous/Discrete System Simulation Languages - Usefulness, Experiences and Future Development, Proc. Methodology in Systems Modelling and Simulation Conf., Rehovot, Israel, pp.201-220.

  2. Cellier, F.E., E. Kofman, G. Migoni, and M. Bortolotto (2008), Quantized State System Simulation, Proc. GCMS'08, Grand Challenges in Modeling and Simulation part of SCSC'08, Summer Computer Simulation Conference, Edinburgh, Scotland, pp.504-510.

  3. Cellier, F.E. and B.P. Zeigler (1987), AI's Role in Control of Systems: Structural and Behavioral Knowledge, Proc. ESM'87: European Simulation Conf. (K.E. Wichmann and J. Retti, eds.), Vienna, Austria, pp.165-171.

  4. Zeigler, B.P., S.D. Chi, and F.E. Cellier (1991), Model-Based Architecture for High Autonomy Systems, Proc. EURISCON'91 - European Robotics and Intelligent Systems Conference, Corfu, Greece, pp.3-22.

Contributed Conference Papers

  1. Beltrame, T. and F.E. Cellier (2006), Quantised State System Simulation in Dymola/Modelica Using the DEVS Formalism, Proc. 5th International Modelica Conference, Vienna, Austria, Vol.1, pp.73-82.

  2. Cellier, F.E. (1986), Combined Continuous/Discrete Simulation - Applications, Techniques and Tools, Proc. Winter Simulation Conference, Washington, DC, pp.24-33.

  3. Cellier, F.E. and A.E. Blitz (1976), GASP-V: A Universal Simulation Package, Proc. 8th AICA Congress on Simulation of Systems, Delft, The Netherlands, pp.391-402.

  4. Cellier, F.E. and A.P. Bongulielmi (1979), The COSY Simulation Language, Proc. 9th IMACS Congress on Simulation of Systems, Sorrento, Italy, pp.271-281.

  5. Cellier, F.E., Q. Wang, and B.P. Zeigler (1990), Model Management - A Five Level Hierarchy for the Management of Simulation Models, Proc. Winter Simulation Conference, New Orleans, Louisiana, pp.55-64.

  6. Chi, S.D., B.P. Zeigler, and F.E. Cellier (1991), Model-Based Task Planning System for a Space Laboratory Environment, Proc. SPIE Symp. on Cooperative Intelligent Robots in Space, Boston, MA, Vol.1387, pp.182-193.

  7. Floros, X., F. Bergero, F.E. Cellier, and E. Kofman (2011), Automated Simulation of Modelica Models with QSS Methods - The Discontinuous Case, Proc. 8th International Modelica Conference, Dresden, Germany.

  8. Floros, X., F.E. Cellier, and E. Kofman (2010), Discretizing Time or States? A Comparative Study between DASSL and QSS, Proc. 3rd International Workshop on Equation-based Object-oriented Modeling Languages and Tools, Oslo, Norway, pp.107-115.

  9. Graber, A. and F.E. Cellier (1982), On the Usefulness of SLAM-II for the Modeling and Simulation of Large Transport Systems, Proc. 10th IMACS World Congress on Simulation and Scientific Computation, Montreal, Canada, pp.417-420.

  10. Graber, A. and F.E. Cellier (1982), Eignung der Simulationssprache SLAM-II zur Modellierung und Simulation großer Transportsysteme, Proc. ASIM'82, 1. Symposium Simulationstechnik, Erlangen, Germany, pp.441-451.

  11. Kofman, E., G. Migoni, and F.E. Cellier (2006), Integración por Cuantificación de Sistemas Stiff. Parte I: Teoría, Proc. AADECA'06, XX Congreso Argentino de Control Automático, Buenos Aires, Argentina, pp.477-482.

  12. Migoni, G., E. Kofman, and F.E. Cellier (2006), Integración por Cuantificación de Sistemas Stiff. Parte II: Implementación, Proc. AADECA'06, XX Congreso Argentino de Control Automático, Buenos Aires, Argentina, pp.499-504.

  13. Rimvall, C.M. and F.E. Cellier (1982), The GASP-VI Simulation Package for Process-oriented Combined Continuous and Discrete System Simulation, Proc. 10th IMACS World Congress on Simulation and Scientific Computation, Montreal, Canada, pp.413-416.

  14. Rimvall, C.M. and F.E. Cellier (1982), GASP-VI: Ein Simulationspaket für prozess-orientierte gemischt kontinuierliche und diskrete Simulation, Proc. ASIM'82, 1. Symposium Simulationstechnik, Erlangen, Germany, pp.155-165.

  15. Sanz, V., F.E. Cellier, A. Urquía, and S. Dormido (2009), Modeling of the ARGESIM "Crane and Embedded Controller" System Using the DEVSLib Modelica Library, Proc. ADHS'09: 3rd IFAC Conference on Analysis and Design of Hybrid Systems, Zaragoza, Spain, 6 pgs.

  16. Sarjoughian, H.S., F.E. Cellier, and B.P. Zeigler (1990), Distributed Intelligent Agents and Hierarchical Diagnostic Units for Semi-Autonomous Teleoperation of a Fluid Handling Laboratory, Proc. Phoenix Conf. Computer and Communication, Scottdale, AZ, pp.795-802.

  17. Sarjoughian, H.S., B.P. Zeigler, and F.E. Cellier (1998), Evaluating Model Abstractions: A Quantitative Approach, Proc. SPIE Conference 3369: "Enabling Technology for Simulation Science II", part of AeroSense'98, Orlando, Florida, pp.59-70.

  18. Wang, Q., and F.E. Cellier (1990), Time Windows: An Approach to Automated Abstraction of Continuous-time Models into Discrete-event Models, Proc. IEEE Conf. AI, Simulation and Planning in High Autonomy Systems, Tucson, Arizona, pp.204-211.

Ph.D. Dissertations

  1. Cellier, F.E. (1979), Combined Continuous/Discrete System Simulation by Use of Digital Computers: Techniques and Tools, Swiss Federal Institute of Technology, ETH Zürich, Switzerland.

  2. Chi, S.D. (1991). Modelling and Simulation for High Autonomy Systems, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  3. Hild, D.R. (2000), Discrete Event System Specification (DEVS) Distributed Object Computing (DOC) Modeling and Simulation, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  4. Sarjoughian, H.S. (1995), Inductive Modeling of Discrete-Event Systems: A TMS-Based Non-Monotonic Reasoning Approach, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

MS Theses

  1. Beltrame, T. (2006), Design and Development of a Dymola/Modelica Library for Discrete Event-oriented Systems Using DEVS Methodology, Dept. of Computer Science, ETH Zurich, Zurich, Switzerland.

  2. Sarjoughian, H.S. (1989), Intelligent Agents and Hierarchical Constraint Driven Diagnostic Units for a Teleoperated Fluid Handling Laboratory, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  3. Wang, Q. (1989), Management of Continuous System Models in DEVS-Scheme: Time Windows for Event-Based Control, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

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Last modified: October 16, 2013 -- © François Cellier