A Subspace Algorithm for Identifying 2-D CRSD Systems with Deterministic Inputs

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Ramos, JEA (Author) Other; Alenany, A (Author) Other; Shang, H (Author) Other; P. Lopes dos Santos (Author) FEUP

Conference proceedings International

Title: 2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC)

Pages: 6457-6462

50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC)

Orlando, FL, DEC 12-15, 2011

Indexing

ISI Web of Knowledge - 1 Citation

ISI Web of Science

Scopus - 1 Citation

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Control engineering

Other information

Authenticus ID: P-008-3RE

DOI: 10.1109/cdc.2011.6161299

Abstract (EN): In this paper, the class of subspace system identification algorithms is used to derive a new identification algorithm for 2-D causal, recursive, and separable-in-denominator (CRSD) state space systems in the Roesser model form. The algorithm take a given deterministic input-output pair of 2-D signals and computes the system order (n) and system parameter matrices {A, B, C, D}. Since the CRSD model can be treated as two 1-D systems, the proposed algorithm first separates the vertical component from the state and output equations and then formulates an equivalent set of 1-D horizontal subspace equations. The solution to the horizontal subspace identification subproblem contains all the information necessary to compute the system order and parameter matrices, including those from the vertical subsystem.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6