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has been cited by the following article:
TITLE: Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters
AUTHORS: Jimin Li, Guolin Yu
KEYWORDS: Particle Swarm Optimization; Dynamical Adaptive; PID Automatic Regulation System
JOURNAL NAME: American Journal of Operations Research, Vol.2 No.3, September 19, 2012
ABSTRACT: Based on a new adaptive Particle Swarm Optimization algorithm with dynamically changing inertia weight (DAPSO), It is used to optimize parameters in PID controller. Compared to conventional PID methods, the simulation shows that this new method makes the optimization perfectly and convergence quickly.