Genetic algorithms for multiobjective predictive control

被引：0
|
作者：
Laabidi, K [1 ]
Bouani, F [1 ]
机构：
[1] High Inst Appl Sci & Technol, Mateur, Tunisia
来源：
ISCCSP : 2004 FIRST INTERNATIONAL SYMPOSIUM ON CONTROL, COMMUNICATIONS AND SIGNAL PROCESSING | 2004年
关键词：
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：
Control of non linear uncertain dynamical systems is considered. The Artificial Nural Networks (ANNs) are used to model the process. For each operating level an ANN is determined. The model predictive type of controller is designed that utilizes a set of ANN model and employs the input constraints. The Non Dominated Sorting Genetic Algorithm (NSGA) is applied to solve the multiobjective optimization problem. The proposed control schema is applied to a numerical example and the simulation results are included.
引用
收藏
页码：149 / 152
页数：4
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