Subspace identification of individual systems in a large-scale heterogeneous network

Journal article (2019)

Authors

C. Yu Beijing Institute of Technology

Jie Chen Beijing Institute of Technology

M.H.G. Verhaegen Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering

Research Group

Team Raf Van de Plas (Mechanical, Maritime and Materials Engineering) (TU Delft)

Subspace identification Errors-in-variables model Large-scale network

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Published Date

2019

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Raf Van de Plas

Abstract

This paper considers the identification of a network consisting of discrete-time LTI systems that are interconnected by their unmeasurable states. For a large-scale network, the computational burden prevents a centralized solution. To cope with this problem, a subspace-based local identification approach using local observations is presented, which consists of subspace intersection operations in both the temporal and spatial domains. Sufficient conditions are provided for the consistent identification of the presented identification approach. Finally, the implementation of this approach on 1D network is specially investigated and numerical simulations are provided to show its effectiveness.

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