文章基本信息

标题：A Convex Optimization Approach to Synthesizing Sparse Dynamic Output Feedback Controllers ∗
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作者：Yin Wang ; Jose Lopez ; Mario Sznaier 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：14
页码：95-100
DOI：10.1016/j.ifacol.2015.09.440
语种：English
出版社：Elsevier
摘要：AbstractThis paper considers the problem of synthesizing dynamic output feedback controllers subject to structural sparsity constraints. It is well known that unless the plant and sparsity pattern satisfy the so-called quadratic invariance property, this problem is generically NP-hard. The main result of this paper shows that in these cases, a computationally attractive convex relaxation can be obtained by recasting the problem into an estimation form and exploiting recent results on sparse filter design. As illustrated with an example, the proposed approach compares favorably with existing techniques, in terms of its ability to find a suitable controller and the resulting closed-loop performance.
关键词：KeywordsSparse Controller SynthesisDecentralized ControlOptimization