In this work we propose techniques for efficient reachability analysis of the state space (e.g., detection of bad states) using a combination of partial order and symmetry based reductions in a distributed setting. The proposed techniques are focused towards explicit state space enumeration based model-checkers like SPIN. We consider variants for both depth-first as well as breadth-first based ...

Recent developments in the analysis of large Markov models facilitate the fast approximation of transient characteristics of the underlying stochastic process. Fluid analysis makes it possible to consider previously intractable models whose underlying discrete state space grows exponentially as model components are added. In this work, we show how fluid-approximation techniques may be used to e...

The main aim of this work is the development of mathematical models of aerobic batch fermentations for its use in estimation and control algorithms. Most batch fermentation models are empirical and simple, and do not provide interrelationships between state variables and measurements. In this work such interrelationships are obtained from mass and energy balances of the fermentation components....

E-mail: [email protected], Tel: (81)-6-6833-5012; Fax: (81)-6-6835-5403; 9 10 11 12 The work of Moller PW et al. (9), recently published in the American Journal of 13 Physiology-Heart and Circulatory Physiology, has reported that Guyton’s circulatory 14 equilibrium model qualitatively predicts the dynamic response from changing right 15 atrial pressure (RAP) and that RAP acts as back-pressure t...

State space explosion is a major problem in both qualitative and quantitative model checking. This article focuses on using beam search, a heuristic search algorithm, for pruning weighted state spaces while generating. The original beam search is adapted to the state space generation setting and two new variants, motivated by practical case studies, are devised. These beam searches have been im...

Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, although the state space is largely reduced, however, a counterexample found in such a model may not be a real counterexample. And the abstract model needs to be further refined where an NP-hard state separation problem is often involved. In this paper...

Application of a recursive subspace identification method to derive a state space model for a synchronous machine is described in this paper. Simulation studies show the effectiveness of such an algorithm to identify on-line a synchronous machine model over a wide range of operating conditions and disturbances. The model provides a foundation for further study on a MIMO adaptive power system st...

The plant considered in this paper is an unwinding winding system with pendulum dancer mechanism for elastic webs. First, a non linear mathematical model of the web process line is presented. A state space model is deduced which helps in the synthesis of the H∞ controllers around the set points given by the reference signals. Industrials systems typically use decentralized PI controllers. In th...

Up to now, a number of models have been proposed and discussed to describe a wide range of inelastic behaviors of materials. The fatal problem of using such models is however the existence of model errors, and the problem remains inevitably as far as a material model is written explicitly. In this paper, the authors define the implicit constitutive model and propose an implicit viscoplastic con...

In normal situations pigs show a stable diurnal drinking pattern. Based on experimental data a dynamic model is developed for prediction of the drinking behavior of growing pigs. A state space model with cyclic components is proposed for modelling the diurnal drinking pattern, measured as hourly sums. Determination of variance structure by use of discount factors is suggested. Model performance...