A Reformulation Scheme for Parameter Estimation of Hybrid Systems

被引：0
|
作者：
Mynttinen, Ines [1 ]
Li, Pu [1 ]
机构：
[1] Tech Univ Ilmenau, Simulat & Optimal Proc Grp, Inst Automat & Syst Engn, D-98693 Ilmenau, Germany
来源：
21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2011年 / 29卷
关键词：
parameter estimation; hybrid systems; reformulation methods; OPTIMIZATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present a new reformulation scheme for parameter estimation of hybrid systems. A key step in this method is the introduction of a continuous switching variable which approximates the strict complementarity condition by means of a smoothened step function (SSF). The reformulation is implemented using discretization with collocation on finite elements, and the resulting optimization problem is solved by a NLP solver. The effectiveness of the proposed reformulation scheme is demonstrated for the parameter estimation of a three-tank model by comparison with the results of a penalization approach and a heuristic particle swarm optimization.
引用
收藏
页码：778 / 782
页数：5
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