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IEEE Transactions on Control of Network Systems

Issue 4 • Dec. 2016

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Displaying Results 1 - 9 of 9
  • Table of contents

    Publication Year: 2016, Page(s): C1
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  • IEEE Transactions on Control of Network Systemspublication information

    Publication Year: 2016, Page(s): C2
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  • Overview: Collective Control of Multiagent Systems

    Publication Year: 2016, Page(s):334 - 347
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (337 KB) | HTML iconHTML

    Collective control of a multiagent system is concerned with designing strategies for a group of autonomous agents operating in a networked environment. The aim is to achieve a global control objective through distributed sensing, communication, computing, and control. It has attracted many researchers from a wide range of disciplines, including the literature of automatic control. This paper aims ... View full abstract»

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  • Robustness Analysis of Network Modularity

    Publication Year: 2016, Page(s):348 - 357
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (771 KB) | HTML iconHTML

    Modules are commonly observed functional units in large-scale networks and the dynamics of networks are closely related to the organization of such modules. Modularity analysis has been widely used to investigate the organizing principle of complex networks. The information about network topology needed for such modularity analysis is, however, not complete in many real-world networks. We noted th... View full abstract»

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  • Multiagent Consensus With Noisy Communication: Stopping Rules Based on Network Graphs

    Publication Year: 2016, Page(s):358 - 365
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (657 KB)

    A stopping rule is presented for a multiagent consensus algorithm with noisy communication. A stochastic approximation method is employed and the relation between the closeness of the agreement and the number of iterations is established. A bound of the variation of the agents at the specific number of iterations is then derived with a probabilistic guarantee, which gives a rigorous stopping rule ... View full abstract»

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  • Joint Centrality Distinguishes Optimal Leaders in Noisy Networks

    Publication Year: 2016, Page(s):366 - 378
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (399 KB) | HTML iconHTML

    We study the performance of a network of agents tasked with tracking an external unknown signal in the presence of stochastic disturbances and under the condition that only a limited subset of agents, known as leaders, can measure the signal directly. We investigate the optimal leader selection problem for a prescribed maximum number of leaders, where the optimal leader set minimizes total system ... View full abstract»

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  • Identifying Topologies of Complex Dynamical Networks With Stochastic Perturbations

    Publication Year: 2016, Page(s):379 - 389
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (946 KB) | HTML iconHTML

    Systems taking the form of networks abound in the world and attract extensive attention from the multidisciplinary nonlinear science community. As is known, network topology plays an important role in determining a network's intrinsic dynamics and function. In the past decade, many researchers have investigated the geometric features, control, and synchronization of complex networks with given or ... View full abstract»

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  • IEEE Transactions on Control of Network Systems information for authors

    Publication Year: 2016, Page(s): C3
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  • 2016 Index IEEE Transactions on Control of Network Systems Vol. 3

    Publication Year: 2016, Page(s):1 - 6
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Aims & Scope

The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Ioannis Ch. Paschalidis
Boston University