Automatic Predictive Control Algorithm and Emulation Technique Study

被引：0
作者：
Yang Zhongguo [1 ]
Cai Tianfang [1 ]
机构：
[1] Zaozhuang Inst, Coll Mech & Elect Engn, Yicheng 277160, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷
关键词：
Nonlinearity; predictive control; fuzzy neural predictive control; composite particle swarm optimization algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper, aiming at the predictive control problem in nonlinear complex system, puts forward fuzzy neural predictive control algorithm based on composite particle swarm optimization algorithm. Under the situation of unknown system model, prediction model is established by combining fuzzy logic with neural network. Meanwhile the effective and feasible predictive control method with well control performance is proposed by making use of composite particle swarm optimization algorithm to complete rolling optimization, so as to provide reliable theoretical foundation for solving practical problems of control system.
引用
收藏
页码：1109 / 1114
页数：6
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