F.E.Cellier - Dissertationen

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

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

3. de Albornoz, A. (1996), Inductive Reasoning and Reconstruction Analysis: Two Complementary Tools for Qualitative Fault Monitoring of Large-Scale Systems, Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spanien.

4. Escobet, A. (2012), Generació de Decisions davant d'Incerteses, Departament de Disseny i Programació de Sistemes, Universitat Politècnica de Catalunya, Manresa, Spanien.

5. 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.

6. López, J. (1999), Time Series Prediction Using Inductive Reasoning Techniques, Organització i Control de Sistemes Industrials, Universitat Politècnica de Catalunya, Barcelona, Spanien.

7. McBride, R.T. (2005), System Analysis Through Bond Graph Modeling, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

8. Mirats, J.M. (2001), Qualitative Modeling of Complex Systems by Means of Fuzzy Inductive Reasoning: Variable Selection and Search Space Reduction, Tecnologies Avançades de la Producció, Universitat Politècnica de Catalunya, Barcelona, Spanien.

9. Mugica, F. (1995), Diseño Sistemático de Controladores Difusos Usando Razonamiento Inductivo, Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spanien.

10. Nebot, A. (1994), Qualitative Modeling and Simulation of Biomedical Systems Using Fuzzy Inductive Reasoning, Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spanien.

11. Pan, Y.D. (1994), Fuzzy Adaptive Recurrent Counterpropagation Neural Networks: A Tool for Efficient Implementation of Qualitative Models of Dynamic Processes, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

12. Rimvall, C.M. (1986), Man-Machine Interfaces and Implementational Issues in Computer-Aided Control System Design, ETH Zürich, Schweiz.

13. Roddier, N. (1994), Global Optimization Via Neural Networks and D.C. Programming, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

14. 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.

15. Soto, M. (2010), Building an Artificial Cerebellum Using a System of Distributed Q-Learning Agents, Dept. of Electr. & Comp. Engr., University of Arizona, Tucson, AZ.

16. Zimmer, D. (2010), Equation-based Modeling of Variable-structure Systems, Dept. für Computer Science, ETH Zürich, Zürich, Schweiz.

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