Open AccessControl of chaos solely based on PSO-LSSVM without usiing an analytical model
Author(s) -
Wen Li,
Jianjun Jiao,
Long Zuqiang
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.110506
Subject(s) - particle swarm optimization , hénon map , chaotic , attractor , computer science , convergence (economics) , chaos (operating system) , control theory (sociology) , nonlinear system , mathematical optimization , control (management) , mathematics , algorithm , artificial intelligence , physics , mathematical analysis , computer security , quantum mechanics , economics , economic growth
For a chaotic system with nonlinear ity and uncertainty, it is difficult to obtain the satisfactory performance using general control methods. A least square support vector marchine (LSSVM) control method based on particle swarm optimigation(PSO), is proposed for chaos control. Optimizing two parameters of LSSVM model by PSO abilities of the fast convergence and whole optimization, thus aroiding the blindness of man-made choice, the LSSVM-PSO model can enhance the capability of forecasting. The proposed method does not need any analytic model, and it is still effective in the presence of measurement noises. Simulation results with a Logistic mapping and Henon attractor show the effectiveness and feasibility of this method.