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IEEE Transactions on Control of Network Systems

Issue 3 • Sept. 2014

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Displaying Results 1 - 11 of 11
  • Table of contents

    Publication Year: 2014, Page(s): C1
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  • IEEE Transactions on Control of Network Systems publication information

    Publication Year: 2014, Page(s): C2
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  • Remote Estimation With Noisy Measurements Subject to Packet Loss and Quantization Noise

    Publication Year: 2014, Page(s):204 - 217
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (771 KB) | HTML iconHTML

    In this paper, we consider the problem of designing coding and decoding schemes to estimate the state of a scalar stable stochastic linear system subject to noisy measurements and in the presence of a wireless communication channel between the sensor and the estimator. In particular, we consider a communication channel which is prone to packet loss and includes quantization noise due to its limite... View full abstract»

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  • To Go or Not to Go: On Energy-Aware and Communication-Aware Robotic Operation

    Publication Year: 2014, Page(s):218 - 231
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (800 KB) | HTML iconHTML

    We consider the scenario where a mobile robot needs to visit a number of points of interest (POIs) in a workspace, gathers its generated bits of information, and successfully transmits them to a remote station, while operating in a realistic communication environment, minimizing its total energy consumption (including both motion and communication costs), and under time and reception quality const... View full abstract»

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  • Formation Control for High-Order Linear Time-Invariant Multiagent Systems With Time Delays

    Publication Year: 2014, Page(s):232 - 240
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (524 KB) | HTML iconHTML

    Formation control problems for high-order linear time-invariant multiagent systems with time delays are investigated. First, a general time-varying formation control protocol is proposed. Then, based on consensus approaches, necessary and sufficient conditions for multiagent systems to achieve a given time-varying formation are presented. An explicit expression of the time-varying formation refere... View full abstract»

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  • On Endogenous Random Consensus and Averaging Dynamics

    Publication Year: 2014, Page(s):241 - 248
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (215 KB) | HTML iconHTML

    Motivated by various random variations of the Hegselmann-Krause model for opinion dynamics and gossip algorithm in an endogenously changing environment, we propose a general framework for the study of endogenously varying random averaging dynamics, that is, averaging dynamics whose evolution suffers from history-dependent sources of randomness. We show that under general assumptions, such dynamics... View full abstract»

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  • Minimal Controllability Problems

    Publication Year: 2014, Page(s):249 - 258
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (186 KB) | HTML iconHTML

    Given a linear system, we consider the problem of finding a small set of variables to affect with an input so that the resulting system is controllable. We show that this problem is NP-hard; indeed, we show that even approximating the minimum number of variables that need to be affected within a multiplicative factor of clog n is NP-hard for some positive c. On the positive side, we show it is pos... View full abstract»

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  • An Optimal Transmission Strategy for Kalman Filtering Over Packet Dropping Links With Imperfect Acknowledgements

    Publication Year: 2014, Page(s):259 - 271
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (890 KB) | HTML iconHTML

    This paper presents a novel design methodology for optimal transmission policies at a smart sensor to remotely estimate the state of a stable linear stochastic dynamical system. The sensor makes measurements of the process and forms estimates of the state using a local Kalman filter. The sensor transmits quantized information over a packet dropping link to the remote receiver. The receiver sends p... View full abstract»

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  • On the Internal Model Principle in the Coordination of Nonlinear Systems

    Publication Year: 2014, Page(s):272 - 282
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (577 KB) | HTML iconHTML

    The role of the internal model principle is investigated in this paper for the coordination of relative-degree-one and relative-degree-two nonlinear systems. For relative-degree-one systems that are incrementally (output-feedback) passive, we propose internal-model-based distributed control laws which guarantee output synchronization to an invariant manifold driven by autonomous synchronized inter... View full abstract»

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  • An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements

    Publication Year: 2014, Page(s):283 - 295
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (766 KB) | HTML iconHTML

    In this paper, we address the problem of optimal estimating the position of each agent in a network from relative noisy vectorial distances with its neighbors by means of only local communication and bounded complexity, independent of network size and topology. We propose a consensus-based algorithm with the use of local memory variables which allows asynchronous implementation, has guaranteed exp... View full abstract»

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  • IEEE Transactions on Control of Network Systems information for authors

    Publication Year: 2014, Page(s):296 - 297
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    Freely Available from IEEE

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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.

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Meet Our Editors

Editor-in-Chief
Ioannis Ch. Paschalidis
Boston University