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    Model Predictive Control of Wind-Excited Building: Benchmark Study

    Source: Journal of Engineering Mechanics:;2004:;Volume ( 130 ):;issue: 004
    Author:
    Gang Mei
    ,
    Ahsan Kareem
    ,
    Jeffrey C. Kantor
    DOI: 10.1061/(ASCE)0733-9399(2004)130:4(459)
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, a “third generation” benchmark problem that focuses on the control of wind excited response of a tall building, using the Model Predictive Control (MPC) scheme, is presented. A 76 story, 306 m tall concrete office tower proposed for the city of Melbourne, Australia, is being used to demonstrate the effectiveness of MPC. The MPC scheme is based on an explicit use of a prediction model of the system response to obtain the control actions by minimizing an objective function. Optimization objectives in MPC include minimization of the difference between the predicted and desired response trajectories, and the control effort subjected to prescribed constraints. By incorporating input/output hard constraints, the MPC scheme provides an optimal control force that satisfies the prescribed constraints.
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      Model Predictive Control of Wind-Excited Building: Benchmark Study

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    http://yetl.yabesh.ir/yetl1/handle/yetl/85907
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    contributor authorGang Mei
    contributor authorAhsan Kareem
    contributor authorJeffrey C. Kantor
    date accessioned2017-05-08T22:40:22Z
    date available2017-05-08T22:40:22Z
    date copyrightApril 2004
    date issued2004
    identifier other%28asce%290733-9399%282004%29130%3A4%28459%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/85907
    description abstractIn this paper, a “third generation” benchmark problem that focuses on the control of wind excited response of a tall building, using the Model Predictive Control (MPC) scheme, is presented. A 76 story, 306 m tall concrete office tower proposed for the city of Melbourne, Australia, is being used to demonstrate the effectiveness of MPC. The MPC scheme is based on an explicit use of a prediction model of the system response to obtain the control actions by minimizing an objective function. Optimization objectives in MPC include minimization of the difference between the predicted and desired response trajectories, and the control effort subjected to prescribed constraints. By incorporating input/output hard constraints, the MPC scheme provides an optimal control force that satisfies the prescribed constraints.
    publisherAmerican Society of Civil Engineers
    titleModel Predictive Control of Wind-Excited Building: Benchmark Study
    typeJournal Paper
    journal volume130
    journal issue4
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)0733-9399(2004)130:4(459)
    treeJournal of Engineering Mechanics:;2004:;Volume ( 130 ):;issue: 004
    contenttypeFulltext
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