Scheduling trains on a single railway line is an issue in it own right, and is a building block for scheduling trains in railway networks. A local, state dependent, travel advance strategy combined with a discrete event model of a railway line represent a more efficient way of approaching the scheduling problem than nonlinear programming approaches used in the past. The approach also eliminates...

A numerical investigation of nonlinear interaction mechanisms producing large wave energy concentrations, which lead to episodic transient waves, is performed using both a Higher Order Spectral (HOS) model and a three-dimensional (3D) fully nonlinear Numerical Wave Tank (NWT). Self-focusing of wave energy is achieved through modulating a periodic wave train along two orthogonal directions. Nonl...

solar radiation data play an important role in solar energy relevant researches. these data are not available for some locations due to the absence of the meteorological stations. therefore, solar radiation data have to be predicted by using solar radiation estimation models. this study presents an integrated artificial neural network (ann) approach for estimating solar radiation potential over...

We propose a statistical method for modeling the non-Poisson variability of spike trains observed in a wide range of brain regions. Central to our approach is the assumption that the variance and the mean of interspike intervals are related by a power function characterized by two parameters: the scale factor and exponent. It is shown that this single assumption allows the variability of spike ...

This paper introduces a simple diesel train energy consumption model that calculates the instantaneous using vehicle operational input variables, including speed, acceleration, and roadway grade, which can be easily obtained from global positioning system (GPS) loggers. The was tested against real-world data produced an error of −1.33% for all errors ranging −12.4% to +8.0% four datasets amount...

The purpose of this work is to investigate the accurate trajectory tracking control of a wheeled mobile robot (WMR) based on the slip model prediction. Generally, a nonholonomic WMR may increase the slippage risk, when traveling on outdoor unstructured terrain (such as longitudinal and lateral slippage of wheels). In order to control a WMR stably and accurately under the effect of slippage, an ...

evolving models have found applications in many real world systems. in this paper, potentials of the evolving linear models (elms) in tracking control design for nonlinear variable structure systems are introduced. at first, an elm is introduced as a dynamic single input, single output (siso) linear model whose parameters as well as dynamic orders of input and output signals can change through ...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

this paper presents a theoretical approach to implementation of the “multi-realization of nonlinear mimo systems”. this method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. in this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...