A local identification method for linear parameter-varying systems based on interpolation of state-space matrices and least-squares approximation
详细信息 查看全文
- 作者：Francesco Ferranti ; francesco.ferranti@vub.ac.be" class="auth_mail" title="E-mail the corresponding author ; Yves Rolain
- 关键词：Linear parameter-varying (LPV) systems ; Interpolation ; State-space matrices ; System identification
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：82
- 期：Complete
- 页码：478-489
- 全文大小：1259 K
文摘
- •
We present a novel local approach to model linear parameter-varying (LPV) systems.
- •
Linear state coordinate transformations extracted for a set of local LTI models.
- •
Similarity transformation matrices computed by linear least-squares approximations.
- •
Least-squares-based algorithms with fixed and dynamic reference state trajectories.
- •
This LPV modeling method is easy-to-implement and relies on robust numerical tools.