Sökning: onr:"swepub:oai:DiVA.org:liu-147389" >
Subspace Identifica...
Subspace Identification of Local Systems in One-Dimensional Homogeneous Networks
-
- Yu, Chengpu (författare)
- Beijing Inst Technol, Peoples R China; Delft Univ Technol, Netherlands
-
- Verhaegen, Michel (författare)
- Delft Univ Technol, Netherlands
-
- Hansson, Anders (författare)
- Linköpings universitet,Reglerteknik,Tekniska fakulteten
-
(creator_code:org_t)
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
- 2018
- Engelska.
-
Ingår i: IEEE Transactions on Automatic Control. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 0018-9286 .- 1558-2523. ; 63:4, s. 1126-1131
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- This note considers the identification of large-scale one-dimensional networks consisting of identical LTI dynamical systems. A subspace identification method is developed that only uses local input-output information and does not rely on knowledge about the local state interaction. The proposed identification method estimates the Markov parameters of a locally lifted system, following the state-space realization of a single subsystem. The Markov-parameter estimation is formulated as a rank minimization problem by exploiting the low-rank property and the two-layer Toeplitz structural property in the data equation, whereas the state-space realization of a single subsystem is formulated as a structured low-rank matrix-factorization problem. The effectiveness of the proposed identification method is demonstrated by simulation examples.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Large-scale 1-D distributed systems; rank minimization problem; two-layer Toeplitz structure
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas