This paper focusses on a discrete-time neural identifier applied to a Linear Induction Motor (LIM) model, whose model is assumed to be unknown. This neural identifier is robust in presence of external and internal uncertainties. The proposed scheme is based on a discrete-time recurrent high order neural network (RHONN) trained with a novel algorithm based on extended Kalman filter (EKF) and par...

Systems of pairwise-interacting particles model a cornucopia of physical systems, from insect swarms and bacterial colonies to nanoparticle self-assembly. We study a continuum model with densities supported on codimension one curves for two-species particle interaction in R2, and apply linear stability analysis of concentric ring steady states to characterize the steady state patterns and insta...

Particle-size distribution (PSD) is a key parameter affecting soil dynamic attributes and cutting forces of tillage tools in the discrete element model accordance with our preliminary simulations. To accurately determine PSD, significance mechanism for effect PSD under different nominal radii were investigated using method (DEM) validated laboratory soil-bin results. Soil disturbance characteri...