中南大学学报（自然科学版）2012，Vol.43Issue(1)：195-201,7.
大时滞系统全参数自适应预测控制策略
All parameters adaptive predictive control strategy for long time-delay system
摘要
Abstract
A new all parameters adaptive predictive control (APAPC) method based on modified particle swarm optimization (PSO) was presented to solve the control problem in time-varing system with long time-delay. All parameters of system model were identified on-line using PSO to effectively overcome the predictive model mismatch. A PSO based predictive control was proposed in which the PSO was used for iterative optimization, which can solve the complicated optimization with various kinds of constraints. The simulation example proves the effectiveness.关键词
大时滞系统/全参数辨识/自适应预测控制/粒子群优化Key words
long time-delay system/ all parameter identification/ adaptive predictive control/ particle swarm optimization分类
信息技术与安全科学引用本文复制引用
蒋朝辉,李学明,桂卫华..大时滞系统全参数自适应预测控制策略[J].中南大学学报（自然科学版）,2012,43(1):195-201,7.基金项目
国家自然科学基金重点资助项目(60634020,61134006) （60634020,61134006）
国家自然科学基金资助项目(61074117) （61074117）
