Chaotic Synchronization of Adaptive Inverse Control Based on Hybrid Particle Swarm Optimization Algorithm

Author

Liu, Wei ; Duan, Yubo ; Shao, Keyong ; Wang, Kejun

Author_Institution

Inst. of Daqing Pet., Daqing

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

2409

Lastpage

2413

Abstract

A control construction approach of adaptive inverse control based on a novel hybrid particle swarm optimization is proposed for achieving chaotic synchronization under the condition of noise perturbation. First, the chaotic synchronization control system structure is introduced. Next, using the proposed algorithm optimize radical basis function neural networks, finally the identified controlled device and trained sending controller are presented to construct the adaptive inverse controller construction. Simulation results show the effectiveness of the proposed method.

Keywords

adaptive control; control system synthesis; learning systems; neurocontrollers; noise; nonlinear control systems; particle swarm optimisation; radial basis function networks; synchronisation; adaptive inverse control construction approach; chaotic synchronization control system; hybrid particle swarm optimization algorithm; noise perturbation condition; radial basis function neural networks; sending controller training; Adaptive control; Automatic control; Automation; Chaos; Chaotic communication; Communication system control; Control systems; Educational institutions; Particle swarm optimization; Programmable control; Hybrid particle swarm optimization(HPSO); adaptive inverse control; chaotic synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0828-3

Electronic_ISBN

978-1-4244-0828-3

Type

conf

DOI

10.1109/ICMA.2007.4303932

Filename

4303932