Design and stability analysis of fuzzy model-based predictive control - A case study

被引：43
|
作者：
Blazic, Saso [1 ]
Skrjanc, Igor [1 ]
机构：
[1] Univ Ljubljana, Fac Elect Engn, Ljubljana 1000, Slovenia
来源：
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 2007年 / 49卷 / 03期
关键词：
fuzzy identification; predictive control; stability;
D O I：
10.1007/s10846-007-9147-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the paper a fuzzy model based predictive control algorithm is presented. The proposed algorithm is developed in the state space and is given in analytical form, which is an advantage in comparison with optimisation based control schemes. Fuzzy model-based predictive control is potentially interesting in the case of batch reactors, heat-exchangers, furnaces and all the processes with strong nonlinear dynamics and high transport delays. In our case it is implemented to a continuous stirred-tank simulated reactor and compared to optimal PI control. Some stability and design issues of fuzzy model-based predictive control are also given.
引用
收藏
页码：279 / 292
页数：14
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