NDLI: Distributed robustness analysis of heterogeneous networks via integral quadratic constraints

Content Provider	IEEE Xplore Digital Library
Author	Sei Zhen Khong Rantzer, A.
Copyright Year	2015
Description	Author affiliation: Dept. of Autom. Control, Lund Univ., Lund, Sweden (Sei Zhen Khong; Rantzer, A.)
Abstract	Robust performance of networks of interconnected heterogenous nonlinear dynamic systems is studied using the theory of integral quadratic constraints. By appealing to recent results on chordal sparsity decompositions of rational transfer matrices, distributed and scalable certificates for performance of interconnections are proposed. The approach is more direct since it does not involve reformulating the problem in terms of standard closed-loop configurations as is typical in the literature, which may destroy or conceal the structural properties inherent in the interconnections. The well-studied notion of feedback performance is reinvestigated within this framework. It is shown that feedback performance can be verified in a distributed fashion if the signal variables in the feedback interconnection are selected appropriately. Another contribution of the paper lies in identifying three chordality-preserving operations that are standard in control and modelling theory, namely local feedback, feedforward, and additive input-output perturbations.
Starting Page	3980
Ending Page	3985
File Size	310026
Page Count	6
File Format	PDF
e-ISBN	9781479986842
DOI	10.1109/ACC.2015.7171951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Robustness Interconnected systems Feedforward neural networks Matrix decomposition Standards Additives Uncertainty chordal graphs Distributed robustness analysis integral quadratic constraints
Content Type	Text
Resource Type	Article

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