This paper presents a sub-structuring method which is simple and quite general, for modelling non-linear dynamic systems in the time domain. Hence ease of program writing and wide applicability are seen as the main advantages of the method. The method is based on the systems approach as used in...

In this paper we consider discrete-event simulations which yield results until a termination condition is satisfied. The simulation can proceed beyond this time, but no useful information is generated. The time at which the termination condition will be satisfied is not known initially, and is...

This paper contributes to the development of symbolic computation for nonlinear control and design, by first reviewing some standard tools for analysis, and then focusing on the specific problem of bilinearization up to output injection. The symbolic computability of a bilinearizability test is...

We outline a new Monte Carlo approach for solving minimization problems. A splitting procedure, which is a controlled random search with domain reduction, is presented. Algorithms and numerical results are also included.

A portable package for uniform random number generation is proposed, based on a backbone generator with period length near 2121, which combines four linear congruential generators. The package provides for multiple (virtual) generators evolving in parallel. Each generator has many disjoint...

The development of SCAM, a three-dimensional numerical model for the prediction of airflow and scalar dispersion in urban canyons, has been described [3]. The first application of SCAM [4] was to study the dispersion of carbon monoxide emanating from car exhausts, but the long term aim has been...

State analysis of time delayed systems via Haar wavelets are proposed in this paper. Based upon some useful properties of Haar functions, a special product matrix and a related coefficient matrix are applied to solve the time-delayed systems. The unknown Haar coefficient matrix is solved via the...

This paper deals with qualitative modeling and simulation of continuous-time systems based on Petri nets. Qualitative simulation faces an intrinsic problem of scale. As the number of variables increases, the number of possible qualitative behaviors may grow exponentially in the worst case. We...