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Discrete Simulation of Continuous Systems

2020
Finding a discrete system which simulates the behavior of a given continuous system is important in discrete-domain control system design, since the (continuous) plant’s response to a discretized input must be known before a controller can be designed for that plant.
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Formal Definitions of Simulation Interfaces in a Continuous/Discrete Co-Simulation Tool

Seventeenth IEEE International Workshop on Rapid System Prototyping (RSP'06), 2006
Continuous and discrete components may be integrated in diverse embedded systems ranging across defense, medical, communication, and automotive applications. The global validation of these systems requires new validation techniques, the main challenge being the definition of global simulation models able to accommodate the different concepts specific ...
Luiza Gheorghe   +3 more
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Discrete simulation of linear multidimensional continuous systems

Multidimensional Systems and Signal Processing, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Combined continuous-discrete system simulation with GASP IV

Computers & Operations Research, 1977
Abstract GASP IV provides an alternative to the several better known and often used simulation languages, such as GPSS, SIMSCRIPT, and DYNAMO[8, 10, 11, 13, 14]. Whereas GPSS and SIMSCRIPT are discrete change languages and DYNAMO is a continuous change simulator, § GASP IV has the unique capability to perform a combination of both discrete and ...
Laurence J. Moore   +2 more
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Parallel synchronization of continuous time discrete event simulators

Proceedings of the 1997 International Conference on Parallel Processing (Cat. No.97TB100162), 2002
Mixed-Mode simulation has been generating considerable interest in the simulation community and has continued to grow as an active research area. Traditional mixed-mode simulation involves the merging of digital and analog simulators in various ways. However, efficient methods for the synchronization between the two time domains remains elusive.
Peter Frey   +2 more
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Hybrid simulation of continuous-discrete systems

2000
Abstract Many process models in the chemical industry involve discrete phenomena superimposed on continuous system dynamics. While the continuous behavior is described by mass, energy and momentum balances, discrete behavior may occur due to physico-chemical discontinuities or discrete logical controller actions. Such systems with interaction between
Vishal Bahl, Andreas A. Linninger
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COSMOS: A simulation language for continuous, discrete and combined models

SIMULATION, 1992
COSMOS is a new simulation language for description of continuous, discrete or combined continuous/discrete models. For continuous models, the COSMOS language definition constitutes a superset of CSSL with many additional structuring elements being incorporated, e.g. for convenient modelling of piecewise continuous models and variable structure systems.
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Accurate discrete-continuous dynamical simulation of dextrous manipulation

Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), 2002
This paper presents an approach towards modeling and accurate dynamical simulation of multi-fingered dextrous manipulation. A hybrid discrete-continuous systems approach allows one to integrate time-driven mechanical characteristics and discrete-event aspects due to varying contact situations into one comprehensive modeling framework.
Thomas Schlegl   +2 more
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Discrete and Continuous Simulation: Theory and Practice

Quality Management Journal, 2014
(2014). Discrete and Continuous Simulation: Theory and Practice. Quality Management Journal: Vol. 21, No. 4, pp. 63-64.
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Interfacing Continuous and Discrete Models for Simulation and Control

SAE Technical Paper Series, 1998
<div class="htmlview paragraph">This is a keynote talk and the second of three papers presented at this conference. The first, “Systems Theory Background for Continuous/Discrete Integration” reviews some of the basic theory needed for this paper.
Bernard P. Zeigler, Herbert Praehofer
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