2026-07-09T04:19:59Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/145362026-06-13T06:15:45Zcom_20.500.11984_1143com_20.500.11984_14090col_20.500.11984_1148

Taniguchi, Tadanari Eciolaza, Luka 2026-06-12T07:53:40Z 2026-06-12T07:53:40Z 2024 979-8-3503-1954-5 1558-4739 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178703 https://hdl.handle.net/20.500.11984/14536 We propose a piecewise modeling method using numerical data. The shape of the piecewise model is a rectangular form into a state-space. The vertex values of the rectangular regions are determined using particle swarm optimization because the optimal dividing solution is a nonlinear programming problem. Using the particle swarm optimization as a multi-point search algorithm, the proposed method can determine optimal vertex values of the piecewise regions with minimal modeling errors. This paper considers some examples to demonstrate the effectiveness of the proposed method using numerical simulations. eng © 2024 IEEE nonlinear system particle swarm optimization piecewise modeling Piecewise Modeling Based on Particle Swarm Optimization Algorithm Using Numerical Data