Nonlinear modified Leslie matrix models with different density-dependent birth and survival rates are analyzed. Conditions for the existence and uniqueness of a positive equilibrium state are discussed. In the case of exponential density dependence the conditions for local stability of a...

This paper illustrates how internal model control of nonlinear processes can be achieved by recurrent neural networks, e.g. fully connected Hopfield networks. It is shown that using results developed by Kambhampati et al. (1995), that once a recurrent network model of a nonlinear system has been...

A hybrid intelligent control system that combines the theories of fuzzy logic and variable structure systems (VSS) is presented. This control architecture is viewed as a discrete event system (DES) and its properties are studied using the corresponding Petri Net diagram. The equivalence between...

This work is devoted to the field of building physics and related to the reduction of heat conduction transfer models. The aim is to enlarge the model libraries of heat and mass transfer codes through limiting the considerable dimensions reached by the numerical systems during the modelling...

The method presented in this paper, based on geometrical considerations, concerns the use of unknown transformations and decomposition of domains for computation of fully-developed flows in ducts of complex shape. The approach involves local one-to-one transformations of sub-domains of the...