DocumentCode :
2112012
Title :
An improved particle swarm optimization algorithm for solving impulsive control problem
Author :
Hongwei Yang ; Lihua Dou ; Jie Chen ; Minggang Gan ; Peng Li
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
1646
Lastpage :
1651
Abstract :
The particle swarm optimization (PSO), a newly developed method to the optimal impulse control, is an optimized algorithm with collective intelligence. The impulsive control problem has abrupt change of system states that make the problem of finding the global optimum difficult using any usual mathematical approaches. In this paper, an improved PSO algorithm is applied to obtain optimal numerical solutions to impulsive control problem. The operation strategy of ordered variables and Boolean variables is devised in such a way that the dynamic process inherent in the basic PSO is preserved. To demonstrate its efficiency and versatility, the proposed algorithm is applied and tested in two numerical experiments. Our results indicate that PSO algorithms can effectively find good enough solutions approximate to global optimum, although the solution algorithm is a population-based search one and is not suitable for the on-line implementation in real-time problems.
Keywords :
Boolean functions; optimal control; particle swarm optimisation; Boolean variables; collective intelligence; global optimum difficult; impulsive control problem solving; optimal impulse control; optimal numerical solutions; particle swarm optimization algorithm; population-based search; Aerospace electronics; Algorithm design and analysis; Approximation algorithms; Biological system modeling; Heuristic algorithms; Optimization; Simulation; Optimal Impulse Control; Particle Swarm Optimization; Penalty Function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
Type :
conf
Filename :
5573604
Link To Document :
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