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Topology (electrical circuits)

About: Topology (electrical circuits) is a research topic. Over the lifetime, 33316 publications have been published within this topic receiving 397651 citations. The topic is also known as: topology.


Papers
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Journal ArticleDOI
TL;DR: This paper aims at modeling a complete dc MG using a discrete-time approach in order to perform a sensitivity analysis taking into account the effects of the consensus algorithm.
Abstract: Distributed control methods based on consensus algorithms have become popular in recent years for microgrid (MG) systems. These kind of algorithms can be applied to share information in order to coordinate multiple distributed generators within a MG. However, stability analysis becomes a challenging issue when these kinds of algorithms are used, since the dynamics of the electrical and the communication systems interact with each other. Moreover, the transmission rate and topology of the communication network also affect the system dynamics. Due to discrete nature of the information exchange in the communication network, continuous-time methods can be inaccurate for this kind of dynamic study. Therefore, this paper aims at modeling a complete dc MG using a discrete-time approach in order to perform a sensitivity analysis taking into account the effects of the consensus algorithm. To this end, a generalized modeling method is proposed and the influence of key control parameters, the communication topology, and the communication speed are studied in detail. The theoretical results obtained with the proposed model are verified by comparing them with the results obtained with a detailed switching simulator developed in Simulink/Plecs.

179 citations

Journal ArticleDOI
TL;DR: It is shown that a unified controller design framework is derived for the CDN with or without coupling delays, and the asymptotic convergence of synchronization errors is analyzed by combining algebraic graph theory and Lyapunov theory.
Abstract: This paper is concerned with the problem of synchronization control of complex dynamical networks (CDN) subject to nonlinear couplings and uncertainties An fuzzy logical system-based adaptive distributed controller is designed to achieve the synchronization The asymptotic convergence of synchronization errors is analyzed by combining algebraic graph theory and Lyapunov theory In contrast to the existing results, the proposed synchronization control method is applicable for the CDN with system uncertainties and unknown topology Especially, the considered uncertainties are allowed to occur in the node local dynamics as well as in the interconnections of different nodes In addition, it is shown that a unified controller design framework is derived for the CDN with or without coupling delays Finally, simulations on a Chua’s circuit network are provided to validate the effectiveness of the theoretical results

179 citations

Journal ArticleDOI
TL;DR: This work focuses on networks whose connections are sparse and where data are limited, and constrained optimization techniques based on the L1 vector norm are found to be superior for inference of the network connections.
Abstract: Given a general physical network and measurements of node dynamics, methods are proposed for reconstructing the network topology. We focus on networks whose connections are sparse and where data are limited. Under these conditions, common in many biological networks, constrained optimization techniques based on the L1 vector norm are found to be superior for inference of the network connections.

178 citations

Journal ArticleDOI
TL;DR: It is shown that all the vehicles can reach consensus even though the dynamically changing interaction topology may not have a globally reachable node.

178 citations

Journal ArticleDOI
Xiaoqun Wu1
TL;DR: In this paper, an adaptive feedback technique is proposed to identify the exact topology of a weighted general complex dynamical network model with time-varying coupling delay by receiving the network nodes evolution.
Abstract: Many existing papers investigated the geometric features, control and synchronization of complex dynamical networks provided with certain topology. However, the exact topology of a network is sometimes unknown or uncertain. Based on LaSalle’s invariance principle, we propose an adaptive feedback technique to identify the exact topology of a weighted general complex dynamical network model with time-varying coupling delay. By receiving the network nodes evolution, the topology of such a kind of network with identical or different nodes, or even with varying topology can be monitored. In comparison with previous methods, time delay is taken into account in this simple, analytical and systematic synchronization-based technique. Particularly, the weight configuration matrix is not necessarily symmetric or irreducible, and the inner-coupling matrix need not be symmetric. Illustrative simulations are provided to verify the correctness and effectiveness of the proposed scheme.

178 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
20233,701
20227,927
20212,733
20202,663
20192,742