Behavior generation of complex system models typically relies on numerical simulation, which inevitably discretizes and quantizes the system's generated behavior, i.e., continuous time is replaced with discrete time and the continuous signal is approximated by a limited resolution representation of the signal. The latter is limited by the machine accuracy because the simulation is performed with, e.g., the pre-defined accuracy of 64-bit floating point numbers, whereas the simulation algorithm used mainly determines the former by choosing a step size depending on the gradients of the equations
Se describe un simulador de sistemas dinámicos basado en técnicas de procesado digital de señales. E...
Designing Cyber-Physical Systems is hard. Physical testing can be slow, expensive and dangerous. Fur...
Numerical simulation of stiff and hybrid systems is widely used in various engineering domains. Nume...
A new approach is described for multidisciplinary simulation, i.e., the simulation of models, which ...
Computer-Aided Control System Design (CACSD) packages should be OPEN for (nonlinear) model and data ...
Computer-Aided control System Design (CACSD) packages should be open for (nonlinear) model and data ...
This paper presents software tools that convert the C/Cµ floating point source code for a DSP algori...
Numerical solver uncertainty is high when the solutions of the differential equations of a model, co...
Real-time digital simulation is a powerful means for engineers and scientists in government, industr...
DSSIM is a general purpose simulator for dynamic systems. It is part of the ANDECS R fl environmen...
this paper, we will focus on the modeling and algorithmic problems we have recently solved for makin...
The need for increasing the solution speed of ordinary differential equations is widely recognized i...
Simulation of continuous systems is an important aspect of the undergraduate curriculum in Computer ...
<p>DSSA Simulation: Calculating the Arithmetic Mean over 1,000 Simulations for Both Constant and Var...
172 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.In order to better understand...
Se describe un simulador de sistemas dinámicos basado en técnicas de procesado digital de señales. E...
Designing Cyber-Physical Systems is hard. Physical testing can be slow, expensive and dangerous. Fur...
Numerical simulation of stiff and hybrid systems is widely used in various engineering domains. Nume...
A new approach is described for multidisciplinary simulation, i.e., the simulation of models, which ...
Computer-Aided Control System Design (CACSD) packages should be OPEN for (nonlinear) model and data ...
Computer-Aided control System Design (CACSD) packages should be open for (nonlinear) model and data ...
This paper presents software tools that convert the C/Cµ floating point source code for a DSP algori...
Numerical solver uncertainty is high when the solutions of the differential equations of a model, co...
Real-time digital simulation is a powerful means for engineers and scientists in government, industr...
DSSIM is a general purpose simulator for dynamic systems. It is part of the ANDECS R fl environmen...
this paper, we will focus on the modeling and algorithmic problems we have recently solved for makin...
The need for increasing the solution speed of ordinary differential equations is widely recognized i...
Simulation of continuous systems is an important aspect of the undergraduate curriculum in Computer ...
<p>DSSA Simulation: Calculating the Arithmetic Mean over 1,000 Simulations for Both Constant and Var...
172 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.In order to better understand...
Se describe un simulador de sistemas dinámicos basado en técnicas de procesado digital de señales. E...
Designing Cyber-Physical Systems is hard. Physical testing can be slow, expensive and dangerous. Fur...
Numerical simulation of stiff and hybrid systems is widely used in various engineering domains. Nume...