June 16-19, 2008

University of Edinburgh
Edinburgh, Scotland

General Conference Chair
Ralph C. Huntsinger
California State Univ.-Chico, USA
Humboldt State Univ., California
Bialystok Technical Univ., Poland

M&S-MTA’08
Program Chair
Hamid Vakilzadian
University of Nebraska-Lincoln, USA

Program Co-Chair
Mhamed Itmi
INSA-ROUEN, France

M&S-VLS’08
Program Chair
Terry Ericsen
Office of Naval Research, USA

Program Co-Chair
Roy Crosbie
California-State Univ.-Chico. USA
rcrosbie@csuchico.edu

Conference Awards Chair
Mhamed Itmi
INSA-ROUEN, France

Publications & Exhibits Chair
D.J. Weed
SCS

Sponsored by
The Society for Modeling and Simulation International
P.O. Box 17900
San Diego, CA  92177-7900
Tel: 858-277-3888
Fax: 858-277-3930
E-mail: scs@scs.org
http://www.scs.org

Co-Sponsored by
Simulation Interoperability Standards Organization (SISO)

Grand Challenges in Modeling & Simulation 2008 (GCMS'08)

Keynote Address

Quantized State System Simulation François E. Cellier; Institute of Computational Science, ETH Zurich, Switzerland    Ernesto Kofman, Gustavo Migoni & Mario Bortolotto; Laboratorio de Sistemas Dinámicos, University of Rosario, Argentina

Abstract

The talk introduces a new family of numerical ODE solvers called Quantized State System (QSS) methods. Given a set of ODEs in its state space representation, the QSS methods replace the classic time slicing by a quantization of the states, leading to an asynchronous discrete event simulation model instead of a discrete time difference equation model.

It will be shown that the QSS methods applied to stable linear time-invariant systems give always practically stable numerical results, irrespective of the quantization adopted. Taking into account that the QSS methods are explicit algorithms, this property has strong theoretical implications and offers a promising perspective for applications such as real-time simulation of stiff systems, where implicit solutions are usually unacceptable.

We shall also discuss the main properties of the methods in the context of simulating discontinuous systems (the asynchronous nature of these algorithms gives them important advantages for discontinuity handling) as well as marginally stable (Hamiltonian) systems, and we shall present some application examples as well as a software simulation tool that implements the QSS methods.

Bio. of Dr. Cellier

François E. Cellier received his BS degree in electrical engineering in 1972, his MS degree in automatic control in 1973, and his PhD degree in technical sciences in 1979, all from the Swiss Federal Institute of Technology (ETH) Zurich. Dr. Cellier worked at the University of Arizona as professor of Electrical and Computer Engineering from 1984 until 2005. He recently returned to his home country of Switzerland. Dr. Cellier's main scientific interests concern modeling and simulation methodologies, and the design of advanced software systems for simulation, computer aided modeling, and computer-aided design. Dr. Cellier has authored or co-authored more than 200 technical publications, and he has edited several books. He published a textbook on Continuous System Modeling in 1991 and a second textbook on Continuous System Simulation in 2006, both with Springer-Verlag, New York.