Piecewise System Modeling Algorithms Using Swarm Intelligence

Abstract

This study dealt with a piecewise modeling method using swarm intelligence. The shape of the piecewise model is a rectangular form into a state-space. The dividing positions of the piecewise regions are determined using particle swarm optimization because the condition is a nonlinear programming problem. The modeling algorithm can be used to determine the multiple dividing positions for piecewise models with minimum modeling errors. An example was considered to demonstrate the effectiveness of the modeling method using numerical simulations.