DocumentCode :
2987684
Title :
Parameter Recognition for Control Systems Based on Chaotic Ant Swarm Algorithm
Author :
Jia Zhu-zhi ; Zhu Hong-Yu ; Cheng Wan-sheng
Author_Institution :
Sch. of Higher Vocational & Technol., Liaoning Univ. of Sci. & Technol., Anshan, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
5384
Lastpage :
5387
Abstract :
Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. In this paper, a new chaotic ant swarm algorithm was used to identify the parameters for control systems. First the problem of parameter estimation of the control system is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. Chaotic ant swarm algorithm has the ability of global optimum search. A numerical simulation on the well-known control system is conducted. Simulation results show that the proposed method is effective in parameter estimation of the control system.
Keywords :
nonlinear control systems; numerical analysis; parameter estimation; particle swarm optimisation; search problems; chaotic ant swarm algorithm; global optimum search; numerical simulation; parameter estimation; parameter optimization; parameter recognition; Automation; Chaos; Control systems; Educational institutions; Optimization methods; Parameter estimation; Research and development; chaotic ant swarm algorithm; global search; parameters recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.1307
Filename :
5630260
Link To Document :
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