Particle Swarm Optimization for Control of Nonlinear Dynamics

Author

Lin, Jiann-Horng

Author_Institution

Dept. of Inf. Manage., I-Shou Univ.

Volume

1

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

542

Lastpage

545

Abstract

Chaos control refers to any form of manipulation of chaotic dynamical behavior exhibited by complex nonlinear systems. A chaotic system in general cannot be made to converge to a freely evolving desired trajectory, whether periodic or chaotic, because of the inherent unpredictability of the system. The control of chaos in this context consists of forcing the system to evolve along the desired trajectory. Control of these systems is difficult because in these systems the natural tendency of nearby trajectories is to diverge exponentially in phase space, due to the sensitive dependence on initial conditions. A new approach to particle motion in swarm optimization is developed for control of chaotic systems

Keywords

chaos; nonlinear control systems; nonlinear dynamical systems; particle swarm optimisation; chaos control; chaotic dynamical behavior; chaotic system; nonlinear dynamic control system; particle swarm optimization; Chaos; Control system synthesis; Control systems; Differential equations; Entropy; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Optimal control; Particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.135

Filename

1691857