F.E.Cellier - Veröffentlichungen betreffend Numerik der Simulation

Bücher

  1. Cellier, F.E., Ed. (1982), Progress in Modeling and Simulation, Academic Press, London, ISBN: 0-12-164780-3, 466 p.

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

Kapitel in Büchern

  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. Cellier, F.E. (1984), How to Enhance the Robustness of Simulation Software, Simulation and Model-Based Methodologies: An Integrative View (T.I. Ören, M.S. Elzas, B.P. Zeigler, eds.), Springer-Verlag, Heidelberg and New York, pp.519-536.

  3. Cellier, F.E. (1985), Stiff Computation: Where to Go?, Progress in Stiff Computation (R.C. Aiken, ed.), Oxford Academic Press, Oxford, U.K., pp.386-392.

  4. Cellier, F.E. (1987), Ordinary Differential Equation Models: Numerical Integration of Initial Value Problems, Encyclopedia of Control (M. Singh, ed.), Pergamon Press, Oxford, U.K., Vol.5, pp.3555-3559.

  5. Cellier, F.E. (1987), Simulation Modelling Formalism: Ordinary Differential Equations, Encyclopedia of Control (M. Singh, ed.), Pergamon Press, Oxford, U.K., Vol.6, pp.4356-4360.

  6. Cellier, F.E. (1992), Ordinary Differential Equation Models: Numerical Integration of Initial-Value Problems, Concise Encyclopedia of Modelling and Simulation (D.P. Atherton and P. Borne, eds.), Pergamon Press, Oxford, U.K., pp.313-317.

  7. Cellier, F.E. (1992), Simulation Modelling Formalisms: Ordinary Differential Equations, Concise Encyclopedia of Modelling and Simulation (D.P. Atherton and P. Borne, eds.), Pergamon Press, Oxford, U.K., pp.420-423.

  8. Cellier, F.E. (1993), Integrated Continuous-System Modeling and Simulation Environments, CAD for Control Systems (D. Linkens, ed.), Marcel Dekker, New York, pp.1-29.

  9. Cellier, F.E. and A. Fischlin (1982), Computer-assisted Modeling of Ill-defined Systems, Progress in Cybernetics and Systems Research, Vol. 8: General Systems Methodology, Mathematical Systems Theory, Fuzzy Sets (R. Trappl, G.J. Klir, and F.R. Pichler, eds.), Hemisphere Publishing, McGraw-Hill, Washington, pp.417-429.

  10. Cellier, F.E., and C.M. Rimvall (1987), Computer-Aided Control Systems - Techniques and Tools, Systems Modeling and Computer Simulation (N. Kheir, ed.), Marcel Dekker, New York, pp.631-679.

  11. Cellier, F.E., and C.M. Rimvall (1995), Computer-Aided Control System Design: Techniques and Tools, Systems Modeling and Computer Simulation (N. Kheir, ed.), second edition, Marcel Dekker, New York, pp.413-453.

  12. Kofman, E., F.E. Cellier, and G. Migoni (2010), Continuous System Simulation and Control, Discrete-even Modeling and Simulation: Theory and Applications (G.A. Wainer and P.J. Mosterman, eds.), CRC Press, Boca Raton, FL, pp.75-107.

  13. Otter, M., and F.E. Cellier (1995), Software for Modeling and Simulating Control Systems, The Control Handbook (W.S. Levine, ed.), CRC Press, Boca Raton, FL, pp.415-428.

  14. Otter, M., and F.E. Cellier (2000), Software for Modeling and Simulating Control Systems, Control System Fundamentals (W.S. Levine, ed.), CRC Press, Boca Raton, FL, pp.419-432.

Zeitschriftenartikel

  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 (2011), Quantization-based Integration Methods for Delay-differential Equations, Simulation Modelling Practice and Theory, 19(1), pp.314-336.

  4. Cellier, F.E. (1984), How to Enhance the Robustness of Simulation Software, Systems Analysis, Modelling and Simulation, 1(1), pp.55-61.

  5. Cellier, F.E. (1984), Simulation Software: Today and Tomorrow, SGA Bulletin, 1, pp.7-22.

  6. 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.

  7. 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.

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

  9. Wu, Q.M., and F.E. Cellier (1986), Simulation of High-Voltage Bipolar Devices in the Neighborhood of Breakdown, Mathematics and Computers in Simulation, 28, pp.271-284.

  10. Wu, Q.M., C.M. Yen, and F.E. Cellier (1989), Analysis of Breakdown Phenomena in High-Voltage Bipolar Devices, Transactions of SCS, 6(1), pp.43-60.

Hauptvorträge bei Tagungen

  1. Cellier, F.E. (1975), Continuous-System Simulation by Use of Digital Computer - A State-of-the-art Survey and Perspectives for Development, Proc. Simulation'75 Conference, Zurich, Switzerland, pp.18-25.

  2. 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.

  3. Cellier, F.E. (1980), How to Enhance the Robustness of Simulation Software, Proc. IFAC/IMACS Symp. Systems Analysis and Simulation, Berlin, Germany, pp.55-61.

  4. Cellier, F.E. (1983), Simulation Software: Today and Tomorrow, Proc. IMACS Symp. Simulation in Engineering Sciences, Nantes, France, pp.3-19.

  5. Cellier, F.E. (1984), How to Enhance the Robustness of Simulation Software, Proc. NATO Advanced Study Institute on Simulation and Model-Based Methodologies: An Integrative View, Ottawa, Canada, pp.519-536.

  6. Cellier, F.E. (2000), Inlining Step-size Controlled Fully Implicit Runge-Kutta Algorithms for the Semi-analytical and Semi-numerical Solution of Stiff ODEs and DAEs, Proc. Vth Conference on Computer Simulation, Mexico City, Mexico, pp.259-262.

  7. Cellier, F.E. (2011), Simulation kontinuierlicher Systeme unter Verwendung diskreter ereignisorientierter Algorithmen: ein Paradigmenwandel, Proc. ASIM 2011, 21st Symposium Simulationstechnik, Winterthur, Switzerland, pp.15-18.

  8. Cellier, F.E. and A. Fischlin (1982), Computer-assisted Modeling of Ill-defined Systems, Proc. 5th European Meeting on Cybernetics and Systems Research, Vienna, Austria, Vol. 8, pp.417-429.

  9. Cellier, F.E., X. Floros, and E. Kofman (2013), The Complexity Crisis: Using Modeling and Simulation for System Level Analysis and Design, Proc. SimulTech 2013, 3rd International Conference on Simulation and Modeling Methodologies, Technologies, and Applications, Reykjavik, Island, Juli 29-31, 2013.

  10. 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.

  11. Elmqvist, H., F.E. Cellier, and M. Otter (1993), Object-Oriented Modeling of Hybrid Systems, Proc. ESS'93, SCS European Simulation Symposium, Delft, The Netherlands, pp.xxxi-xli.

  12. Elmqvist, H., M. Otter, and F.E. Cellier (1995), Inline Integration: A New Mixed Symbolic/Numeric Approach for Solving Differential-Algebraic Equation Systems, Proc. ESM'95, SCS European Simulation MultiConference, Prague, Czech Republic, pp.xxiii-xxxiv.

  13. Otter, M., H. Elmqvist, and F.E. Cellier (1996), "Relaxing" - A Symbolic Sparse Matrix Method Exploiting the Model Structure in Generating Efficient Simulation Code, Proc. Symposium on Modelling, Analysis, and Simulation, CESA'96, IMACS MultiConference on Computational Engineering in Systems Applications, Lille, France, vol.1, pp.1-12.

Andere Tagungsbeiträge

  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. Bergero, F., X. Floros, J. Fernández, E. Kofman, and F.E. Cellier (2012), Simulating Modelica Models with a Stand-alone Quantized State Systems Solver, Proc. 9th International Modelica Conference, Fürstenfeldbruck, Germany, pp.237-246.

  3. Cellier, F.E. (1977), On the Solution of Parabolic and Hyperbolic PDE's by the Method of Lines Approach, Proc. Simulation'77, Montreux, Switzerland, pp.144-148.

  4. Cellier, F.E. (1982), Stiff Computation: Where to Go?, Proc. Intl. Conf. Stiff Computation, Park City, Utah, pp.386-392.

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

  6. Cellier, F.E. (1986), Enhanced Run-Time Experiments for Continuous System Simulation Languages, Proc. SCS Conference on Languages for Continuous System Simulation, San Diego, CA, pp.78-83.

  7. Cellier, F.E., and S.D. Chi (1991), Numerical Properties of Trajectory Representations of Polynomial Matrices, Proc. CADCS'91, Computer-Aided Design in Control Systems, Swansea, Wales, U.K., pp.173-177.

  8. Cellier, F.E., H. Elmqvist, M. Otter, and J.H. Taylor (1993), Guidelines for Modeling and Simulation of Hybrid Systems, Proc. IFAC World Congress, Sydney, Australia, vol.8, pp.391-397.

  9. Cellier, F.E. and B.A. Ferroni (1974), Modular Digital Simulation of Electro/Hydraulic Drives Using CSMP, Proc. 1974 Summer Computer Simulation Conf., Vol. 1, Houston, TX, pp.510-514.

  10. Cellier, F.E., and P.J. Moebius (1979), Towards Robust General Purpose Simulation Software, Proc. ACM/SIGNUM Symposium on Numerical Ordinary Differential Equations, Urbana-Champaign, Illinois, p.18:1-18:5.

  11. Cellier, F.E. and D.F. Rufer (1975), Algorithm Suited for the Solution of Initial Value Problems in Engineering Applications, Proc. Simulation'75, Zurich, Switzerland, pp.160-165.

  12. Dshabarow, F., F.E. Cellier, and D. Zimmer (2008), Support for Dymola in the Modeling and Simulation of Physical Systems with Distributed Parameters, Proc. 6th International Modelica Conference, Bielefeld, Germany, Vol.2, pp.683-690.

  13. Elmqvist, H., F.E. Cellier, and M. Otter (1994), Object-Oriented Modeling of Power-Electronic Circuits Using Dymola, Proc. CISS'94, First Joint Conference of International Simulation Societies, Zurich, Switzerland, pp.156-161.

  14. 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.

  15. 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.

  16. Glaser, J.S., F.E. Cellier, and A.F. Witulski (1995), Object-Oriented Switching Power Converter Modeling Using Dymola With Event-Handling, Proc. OOS'95, SCS Object-Oriented Simulation Conference, Las Vegas, NV, pp.141-146.

  17. Glaser, J.S., F.E. Cellier, and A.F. Witulski (1995), Object-Oriented Power System Modeling Using the Dymola Modeling Language, Proc. Power Electronics Specialists Conference, Atlanta, GA, Vol.II, pp.837-843.

  18. 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.

  19. 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.

  20. Wu, Q.M., and F.E. Cellier (1987), A Device Simulation Tool for High-Voltage Bipolar Devices, Proc. IEEE Symp. Circuits and Systems, Philadelphia, PA, Vol.2, pp.612-616.

Dissertationen

  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. Rimvall, C.M. (1986), Man-Machine Interfaces and Implementational Issues in Computer-Aided Control System Design, Swiss Federal Institute of Technology, ETH Zürich, Switzerland.

MS Arbeiten

  1. Beamis, C.P. (1990), Solution of Second Order Differential Equations Using the Godunov Integration Method, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  2. Beltrame, T. (2006), Design and Development of a Dymola/Modelica Library for Discrete Event-oriented Systems Using DEVS Methodology, Dept. für Computational Science, ETH Zürich, Zürich, Schweiz.

  3. Davis, K.R. (1989), Two-Dimensional Simulation of the Effects of Total Dose Ionizing Radiation on Power-MOSFET Breakdown, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  4. Dshabarow, F. (2007), Support for Dymola in the Modeling and Simulation of Physical Systems with Distributed Parameters, Dept. für Computational Science, ETH Zürich, Zürich, Schweiz.

  5. Hermann, K. (1995), Solution of Stiff Systems Described by Ordinary Differential Equations by Means of Regression Backward Difference Formulae (RBDF), Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  6. Hu, L.A. (1991), DBDF: An Implicit Numerical Differentiation Algorithm for Integrated Circuit Simulation, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  7. Kosier, S.L. (1990), Breakdown Behavior of Electronic Devices under the Influence of Total Dose Ionizing Radiation, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  8. Krebs, M. (1997), Modeling of Conditional Index Changes, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  9. Piram, U. (1991), Numerical Investigation of Second Sound in Liquid Helium, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  10. Roddier, N. (1989), Curvature Sensing for Adaptive Optics: A Computer Simulation, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  11. Tan, L.H. (1989), Two Dimensional Device Simulation of Junction Termination Structures for Determination of Breakdown Behavior, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  12. Treeaporn, V. (2005), Efficient Simulation of Physical System Models Using Inlined Implicit Runge-Kutta Algorithms, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  13. Tsao, L.P. (1986), Interactive Nonlinear Programming, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  14. Xie, W. (1995), Backinterpolation Methods for the Numerical Solution of Ordinary Differential Equations and Applications, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

  15. Yen, C.M. (1988), Two-Dimensional Simulation of Power MOSFET Near Breakdown, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

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Modifiziert: 16. Oktober 2013 -- © François Cellier