City Research Online

Structure assignment problems in linear systems: Algebraic and geometric methods

Karcanias, N. ORCID: 0000-0002-1889-6314, Leventides, J. & Meintanis, I. ORCID: 0000-0002-1920-1801 (2018). Structure assignment problems in linear systems: Algebraic and geometric methods. Annual Reviews in Control, 46, pp. 80-93. doi: 10.1016/j.arcontrol.2018.09.004

Abstract

The Determinantal Assignment Problem (DAP) is a family of synthesis methods that has emerged as the abstract formulation of pole, zero assignment of linear systems. This unifies the study of frequency assignment problems of multivariable systems under constant, dynamic centralized, or decentralized control structure. The DAP approach is relying on exterior algebra and introduces new system invariants of rational vector spaces, the Grassmann vectors and Plücker matrices. The approach can handle both generic and non-generic cases, provides solvability conditions, enables the structuring of decentralisation schemes using structural indicators and leads to a novel computational framework based on the technique of Global Linearisation. DAP introduces a new approach for the computation of exact solutions, as well as approximate solutions, when exact solutions do not exist using new results for the solution of exterior equations. The paper provides a review of the tools, concepts and results of the DAP framework and a research agenda based on open problems.

Publication Type: Article
Additional Information: © Elsevier, 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords: Linear multivariable control, Structural control methods, Output feedback, Pole placement, Frequency assignment, Algebraic-Geometry methods
Subjects: Q Science > QA Mathematics
Departments: School of Science & Technology > Engineering
SWORD Depositor:
[thumbnail of ARC 2018-83 final 25-09-18 .pdf]
Preview
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (257kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login