LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control

被引:12
|
作者
den Boef, Pascal [1 ]
Cox, Pepijn B. [4 ]
Toth, Roland [2 ,3 ]
机构
[1] Drebble, Horsten 1, NL-5612 AX Eindhoven, Netherlands
[2] Eindhoven Univ Technol, Control Syst Grp, POB 513, NL-5600 MB Eindhoven, Netherlands
[3] Inst Comp Sci & Control, Syst & Control Lab, Kende U 13-17, H-1111 Budapest, Hungary
[4] TNO, Radar Technol, POB 96864, NL-2509 JG The Hague, Netherlands
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 07期
基金
欧洲研究理事会;
关键词
Linear parameter-varying systems; software tools; system identification;
D O I
10.1016/j.ifaco1.2021.08.390
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 describes the LPVcottE software package for MATLAB developed to model, simulate, estimate and control systems via linear parameter-varying (LPV) input-output (JO), state-space (SS) and linear fractional (LFR) representations. In the LPVcottE toolbox, basis affine parameter-varying matrix functions are implemented to enable users to represent LPV systems in a global setting, i.e., for time-varying scheduling trajectories. This is a key difference compared to other software suites that use a grid or only LFR-based representations. The paper contains an overview of functions in the toolbox to simulate and identify JO, SS and LFR representations. Based on various prediction-error minimization methods, a comprehensive example is given on the identification of a DC motor with an unbalanced disc, demonstrating the capabilities of the toolbox. The software and examples are available on www. 1pvcore. net. Copyright CO (C) 2021 The Authors.
引用
收藏
页码:385 / 390
页数:6
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