Dynamical modeling of biological systems is becoming increasingly widespread as people attempt to grasp biological phenomena in their full complexity and make sense of an accelerating stream of experimental data. We review a number of recent modeling studies that focus on systems specifically involving gene expression and regulation. These systems include bacterial metabolic operons and phase-v...

A rigorous means for modeling and evaluating hybrid systems is needed for the efficient and cost-effective development of embedded real-time software for a wide variety of applications (weapons, manufacturing, intelligent vehicles, process control, . . . ). The development of a standard hybrid systems modeling language (SHSML) and corresponding rigorous simulation environments represent importa...

Financial markets are perceived as dynamic systems of interacting agents whose modeling and prediction are based on computer technology. Decision support systems analyze the state parameters of controlled systems and external factors in order to make the appropriate decisions. The aim of this paper is to analyze the techniques for system dynamics and decision-making process modeling. The simula...

in this article, we demonstrate an analytic-numeric solution for some dynamical systems using the multistagehomotopy perturbation method. the method yields results that are in complete agreement with their numericalcounterparts.

this paper provides a review on major ergodic features of semi-independent hyper mv {algebra dynamical systems. theorems are presentedto make contribution to calculate the entropy. particularly, it is proved that thetotal entropy of those semi-independent hyper mv {algebra dynamical systemsthat have a generator can be calculated with respect to their generator ratherthan considering all the par...

Existing models of diagnosis have not uni ed the notions of time, uncertainty and abduction which are necessary in domains such as clinical diagnosis, dynamic systems modeling, and fault diagnosis. We present a new approach which models information through linear constraints and nd that many aspects of our knowledge-base and inferencing mechanism are naturally suited towards these constraints. ...

In this paper we present a part of Casl-Mdl, a visual modelling notation based on Casl-Ltl (an extension for dynamic system of the algebraic specification language Casl). The visual constructs of Casl-Mdl have been borrowed from the UML, thus existing editors may be used. A Casl-Mdl model is a set of diagrams but it corresponds to a Casl-Ltl specification, thus Casl-Mdl is a suitable means to e...

Modelling is an important skill to acquire, but it is not an easy one for students to learn. Existing instructional technology has had limited success in teaching modelling. We have applied a recently developed technology, meta-tutoring, to address the important problem of teaching model construction. More specifically, we have developed and evaluated a system that has two parts, a tutor and a ...

A long-standing challenge in geometric modeling is providing a natural, intuitive interface for making local deformations to 3D surfaces. Previous approaches have provided either interactive manipulation or physical simulation to control surface deformations. In this paper, we investigate combining these two approaches with a painting interface that gives the user direct, local control over a p...

Dynamic system identification with Gaussian-process prior model is a probabilistic, nonparametric modelling method for identification. Gaussian-process models provide, besides the prediction, also the information about prediction uncertainty based on the availability or uncertainty of the data used for the modelling. An advantage of this kind of model is a small number of training parameters, a...