Partially Fixed Structure Determinantal Assignment Problems

• 成果类型: Article
• 署名作者: Leventides, John; Karcanias, Nicos; Livada, Maria
• 署名单位: National & Kapodistrian University of Athens; City St Georges, University of London
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3010767
• 发表日期: 2021
• 页码: 2883-2888
• 关键词: Matrix decomposition; Singular value decomposition; Poles and zeros; Tensile stress; control systems; Linear systems; Algebraic control; control systems design; pole assignment

摘要

In this article, we deal with the study of the determinantal assignment problem (DAP) when the parameters of the compensator are not entirely free, but some of them are fixed. The problem is reduced to a restricted form of an exterior algebra problem (decomposability of multivectors), which is referred to as partial decomposability problem. We study this problem and in case that this problem has no solution, we examine the problem of approximate partial decomposability. We treat the problem of exact or partial decomposability into a vector and a multivector of lower dimension. If this procedure is repeated then this results in an approximation of the initial multivector into a decomposable vector. The approximation of a vector by an optimal decomposable multivector is a nonlinear procedure and has been solved completely using the power method. The method developed in this article, although it produces a suboptimal solution, can be used alternatively for the solution of DAP or the approximate DAP, as a shorter and easier approach, because it is based on known tools as the singular value decomposition. We apply these results to treat the restricted approximate decomposability problem, which leads to approximate solutions to the pole placement and zero assignment problems.