NDLI: Robust cooperative output regulation of heterogeneous Lur ’ e networks

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Robust cooperative output regulation of heterogeneous Lur ’ e networks

Content Provider	Semantic Scholar
Author	Zhang, Fan Trentelman, Harry L. Scherpen, Jacquelien M. A.
Copyright Year	2016
Abstract	In this paper, we study robust cooperative output regulation problems for a directed network of Lur’e systems that consist of a nominal linear dynamics with an unknown static nonlinearity around it through negative feedback. We assume that the linear part of each agent is identical, but the nonlinearities are allowed to be different for distinct agents. In this sense, the network is heterogeneous. As is common in the context of Lur’e systems, the unknown nonlinearities are assumed to be sector bounded within one given sector. The interconnection graph among these agents is assumed to contain a directed spanning tree. Similar to classical output regulation problems, there is a virtual exosystem generating a reference signal in which all the agents are required to track cooperatively. Our designed distributed dynamic state/output feedback protocol makes a copy of the reference signal at each agent asymptotically, and then the robust cooperative output regulation problem becomes a robust tracking problem that can be handled by each agent via local information. It turns out that our cooperative protocols are fully distributed. Sufficient conditions on the existence of output synchronization protocols are given along with some discussions on these conditions. Finally, two simulation examples illustrate our design. Copyright © 2016 John Wiley & Sons, Ltd.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.math.rug.nl/trentelman/psfiles/ZhangIJRNC.pdf
Language	English
Access Restriction	Open
Subject Keyword	Assumed Block cipher mode of operation Copyright File spanning Genetic Heterogeneity Interconnection John D. Wiley Negative feedback Nonlinear system Protocols documentation Simulation Spanning tree Synchronization (computer science)
Content Type	Text
Resource Type	Article

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