Title :
Neural Network Predictive Control Based on Particle Swarm Optimization for Urban Expressway
Author :
Lu, Zhilin ; Fan, Bingquan ; Wang, Dongli ; He, Xiaoyang
Author_Institution :
Center of Res. on Transports Syst., Univ. of Shanghai for Sci. & Technol.
Abstract :
A neural network predictive control method based on particle swarm optimization (PSO) for the urban expressway is proposed. A series of serial-parallel structure radial basis function neural networks are used to identify the dynamic traffic flow model of the expressway. A non-linear predictive control algorithm with the constraint conditions is presented, and an on-line optimization algorithm based on PSO is also proposed. The simulation results show that this control algorithm has strong robustness and good control effect. The effectiveness of the on-line optimization based on PSO algorithm is also verified
Keywords :
neurocontrollers; nonlinear control systems; particle swarm optimisation; predictive control; radial basis function networks; road traffic; robust control; dynamic traffic flow model; neural network predictive control; nonlinear predictive control; online optimization; particle swarm optimization; robustness; serial-parallel structure radial basis function neural networks; urban expressway; Communication system traffic control; Constraint optimization; Educational institutions; Helium; Neural networks; Particle swarm optimization; Prediction algorithms; Predictive control; Radial basis function networks; Traffic control; non-linear predictive control; particle swarm optimization; radial basis function neural network; urban expressway;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713660
