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The NNSYSID toolset for System Identification has been developed as an add on to MATLAB®. The NNSYSID toolbox has been designed to assist identification of nonlinear dynamic systems. It contains a number of nonlinear model structures based on neural networks, effective training algorithms and...
This paper studies the necessary and sufficient conditions for observable realization of a general class of nonlinear high-order input-output difference equations. In particular, it proves the equivalence of the two seemingly different existing approaches in the literature. The paper also...
We have modelled the movement of groups of entities over realistic terrain using the equations of fluid dynamics. In our scheme, individual vehicles, people and even natural phenomena are modelled as localised packets of a fluid continuum that interact with a complex environment. The approach...
The analysis, failure diagnosis and control of discrete event systems (DESs) requires an accurate model of the system. In this paper we present a methodology which makes the task of modeling DESs considerably less cumbersome, less error prone, and more user-friendly than it usually is. In doing...
In the optimal control of industrial, field or service robots, the standard procedure is to determine first offline a reference trajectory and a feedforward control, based on some selected nominal values of the unknown stochastic model parameters, and to correct then the inevitable and...
The paper deals with the models for pipelines in transient mode. The nonlinear distributed parameter model is first linearized and a two input – two output system is obtained. The models represented by basic canonical equations are then rearranged into four feed-back models (two hybrid,...
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