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American Control Conference (ACC), 2014

Date 4-6 June 2014

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Displaying Results 1 - 25 of 958
  • The American Automatic Control Council

    Page(s): 1
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  • Author index

    Page(s): 1 - 83
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  • AACC awards [4 awards]

    Page(s): 1 - 6
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  • Keyword index

    Page(s): 1 - 16
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  • Local information

    Page(s): 1 - 2
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  • Operating committee

    Page(s): 1 - 2
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  • Organizing Committee

    Page(s): 1 - 2
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  • Program at a glance

    Page(s): 1 - 2
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  • Plenary lectures

    Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (159 KB)  

    Provides an abstract for each of the plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Greetings from the AACC President

    Page(s): 1 - 2
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  • Program committee

    Page(s): 1 - 2
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  • Social events and receptions

    Page(s): 1
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  • Special session

    Page(s): 1 - 7
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (104 KB)  

    Provides an abstract of the presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • Exhibitors and sponsors

    Page(s): 1 - 7
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  • Information for students

    Page(s): 1 - 3
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  • Technical program verview

    Page(s): 1 - 2
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  • Technical program for Wednesday June 4, 2014

    Page(s): 1 - 135
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  • Technical program for Thursday June 5, 2014

    Page(s): 1 - 114
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  • Technical program for Friday June 6, 2014

    Page(s): 1 - 139
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  • Tutorial session

    Page(s): 1 - 3
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  • Hotel information and internet access

    Page(s): 1 - 3
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  • Greetings and thanks from the general chair

    Page(s): 1 - 2
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  • Workshops

    Page(s): 1 - 12
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  • A decentralized, convergent, nearest neighbor, spatial consensus, control protocol

    Page(s): 4683 - 4689
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (699 KB)  

    In this paper a convergent, nearest-neighbor, consensus control protocol is suggested for agents with nontrivial dynamics. The protocol guarantees convergence to a common point in space even if each agent is restricted to communicate with its nearest neighbor. The neighbor, however, is restricted to lie outside an arbitrarily small priority zone surrounding the agent. The control protocol consists of two layers interconnected in a provably-correct manner. The first layer guides the agent to the rendezvous point while the other converts the guidance signal to a control signal that suits realistic agents such as UGVs, UAVs and holonomic agents with second order dynamics. View full abstract»

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  • Direct heuristic dynamic programming method for power system stability enhancement

    Page(s): 747 - 752
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (422 KB)  

    In this paper a neural network-based approximate dynamic programming method, namely direct heuristic dynamic programming (direct HDP), is applied to power system stability control. Direct HDP is a learning and approximation based approach to address nonlinear system control under uncertainty. In the present paper, real-time system responses provided by wide area measurement system (WAMS) are used to construct such controllers which are uniquely tailored for the problems under consideration. In addition, the controller learning objective is formulated as a reward function that reflects global characteristics of the power system low frequency oscillation under the consideration of coupling effect among system components. The contribution of the paper includes a convergence proof of the direct HDP algorithm using an LQR framework, as well as case study to illustrate the proposed learning control algorithm. The case study aims at providing a new solution to a difficult large scale system coordination problem where the China Southern Power Grid is used for. View full abstract»

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