Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Time Warp simulation in time constrained systems
PADS '93 Proceedings of the seventh workshop on Parallel and distributed simulation
GDEVS: A generalized discrete event specification for accurate modeling of dynamic systems
Transactions of the Society for Computer Simulation International
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Parallel Synchronization of Continuous Time Discrete Event Simulators
ICPP '97 Proceedings of the international Conference on Parallel Processing
Evolution of Continuous-Time Modeling and Simulation
Proceedings of the 12th European Simulation Multiconference on Simulation - Past, Present and Future
New design and simulation of the GDEVS abstraction of an integrator
Proceedings of the 2007 Summer Computer Simulation Conference
Hi-index | 0.00 |
In this paper we present our recent work on generalized discrete event modelling. In the general framework of modelling and simulation of linear systems under time-continuous – or not – signals, the description of the integrator operator becomes fundamental as well as the description the time delay operator and the concept of output feedback. Therefore, this paper shall present the description of an integrator under piecewise linear input trajectories in a first step, then under trajectories described by a sequence of general order polynomials, ensuring a user given accuracy. Moreover, its remarkable behaviour in case of input discontinuities strongly contrast with the rather bad one of classical numerical solvers. Furthermore, a thorough comparison with discrete-time simulation techniques, like the classical Euler one, allows the assessment of an important computational gain using the techniques proposed here. Finally, the complete treatment of an hybrid system example not only illustrates the relevance of this approach, but underlines the interest of its application in the more general context of mixed-mode simulation and distributed simulation.