期刊
AUTOMATICA
卷 107, 期 -, 页码 200-210出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2019.05.002
关键词
Linear structured systems; Pole placement; Input-output selection; Approximation algorithms; Complex networks
This paper deals with minimum cost constrained selection of inputs, outputs and feedback pattern in structured systems, referred to as optimal input-output and feedback co-design problem. The input-output set is constrained in the sense that the set of states that each input can influence and the set of states that each output can sense are pre-specified. Further, each input and each output are associated with a cost. The feedback pattern is unconstrained and the cost of a feedback edge is the sum of cost of the input and output associated with it. Our goal is to optimally select an input-output set and a feedback pattern such that the closed-loop system has no structurally fixed modes (SFMs). This problem is known to be NP-hard. In this paper, we show that the problem is inapproximable to factor (1 - o(1)) log n, where n denotes the number of states in the system. Then we present an approximation algorithm of time complexity O(n(3)) to approximate the problem. We prove that the proposed algorithm gives a (2 log n)-approximate solution to the problem. Thus the algorithm given in this paper is an order optimal approximation algorithm to approximate the optimal input-output and feedback co-design problem. (C) 2019 Elsevier Ltd. All rights reserved.
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