Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification

被引:0
|
作者
Kon, Johan [1 ]
Toth, Roland [2 ,3 ]
van de Wijdeven, Jeroen [4 ]
Heertjes, Marcel [1 ,5 ]
Oomen, Tom [1 ,6 ]
机构
[1] Eindhoven Univ Technol, Dept Mech Engn, Control Syst Technol Grp, NL-5611 XB Eindhoven, Netherlands
[2] Eindhoven Univ Technol, Control Syst Grp, Elect Engn, NL-5611 XB Eindhoven, Netherlands
[3] HUN REN Inst Comp Sci & Control, Syst & Control Lab, H-1111 Budapest, Hungary
[4] ASML, ASML Res, NL-5504 DR Veldhoven, Netherlands
[5] ASML, D&E Mechatron & Measurements Syst, NL-5504 DR Veldhoven, Netherlands
[6] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
来源
关键词
Stability criteria; Mathematical models; Linear systems; System identification; Linear matrix inequalities; Computational modeling; Standards; stability; linear parameter-varying systems; transfer functions;
D O I
10.1109/LCSYS.2024.3410143
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Identifying structured discrete-time linear time/parameter-varying (LPV) input-output (IO) models with global stability guarantees is a challenging problem since stability for such models is only implicitly defined through the solution of matrix inequalities (MI) in terms of the model's coefficient functions. In this letter, a structured linear IO model class is developed that results in a quadratically stable model for any choice of coefficient functions, enabling identification using standard optimization routines while guaranteeing stability. This is achieved through transforming the MI-based stability constraints in a necessary and sufficient manner, such that for any choice of transformed coefficient functions the MIs are satisfied. The developed stable LPV-IO model is employed in simulation to estimate the parameter-varying damping of mass-damper-spring system with stability guarantees, while a standard LPV-IO model results in an unstable estimate.
引用
收藏
页码:1565 / 1570
页数:6
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