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预见控制理论及应用研究进展

甄子洋

甄子洋. 预见控制理论及应用研究进展. 自动化学报, 2016, 42(2): 172-188. doi: 10.16383/j.aas.2016.c150408
引用本文: 甄子洋. 预见控制理论及应用研究进展. 自动化学报, 2016, 42(2): 172-188. doi: 10.16383/j.aas.2016.c150408
ZHEN Zi-Yang. Research Development in Preview Control Theory and Applications. ACTA AUTOMATICA SINICA, 2016, 42(2): 172-188. doi: 10.16383/j.aas.2016.c150408
Citation: ZHEN Zi-Yang. Research Development in Preview Control Theory and Applications. ACTA AUTOMATICA SINICA, 2016, 42(2): 172-188. doi: 10.16383/j.aas.2016.c150408

预见控制理论及应用研究进展

doi: 10.16383/j.aas.2016.c150408
基金项目: 

教育部高等学校博士学科点专项科研基金 20123218120015

国家自然科学基金 61304223

国家自然科学基金 61473144

详细信息
    作者简介:

    甄子洋 博士, 南京航空航天大学自动化学院副教授.主要研究方向为预见控制, 智能与自适应控制, 无人机/舰载机/高超声速飞行器飞行控制, 多无人机协同控制与决策研究.E-mail:zhenziyang@nuaa.edu.cn

Research Development in Preview Control Theory and Applications

Funds: 

Specialized Research Fund for the Doctoral Program of Higher Education 20123218120015

Supported by National Natural Science Foundation of China 61304223

Supported by National Natural Science Foundation of China 61473144

More Information
    Author Bio:

    Ph. D., associate professor at the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. His research interest covers preview control, intelligent and adaptive control, UAV/carrier-based aircraft/hypersonic aircraft flight control, and multi-UAV cooperative control and decision

  • 摘要: 预见控制因其能够利用已知的未来目标信息或干扰信息来改善控制系统的性能, 在众多实际工程领域得到越来越多的应用, 正日益受到研究者的广泛关注.本文较全面概述了预见控制理论自20世纪60年代提出以后的发展状况, 重点概述线性最优预见控制、线性鲁棒预见控制、非线性预见控制等相关理论的研究进展, 并且总结预见控制在车辆主动悬挂系统、机电伺服系统、机器人、飞行器、电网发电系统等领域的应用现状.最后, 总结了预见控制的研究成果, 探讨了目前存在的主要问题并展望了未来发展方向.本文的综述旨在通过抛砖引玉, 促进预见控制理论及应用的全面发展.
  • 图  1  传统最优预见控制系统

    Fig.  1  Traditional optimal preview control system

    图  2  信息融合预见控制系统Ⅰ

    Fig.  2  Information fusion preview control system Ⅰ

    图  3  信息融合预见控制系统Ⅱ

    Fig.  3  Information fusion preview control system Ⅱ

    图  4  连续型最优预见控制系统

    Fig.  4  Continuous optimal preview control system

    图  5  多输入多预见时间H2预见控制系统

    Fig.  5  Multiple input multiple preview time H2 previewcontrol system

    图  6  含预见信息的广义调节器系统

    Fig.  6  Generalized regulator system with preview information

    图  7  基于预见控制的无人机飞行控制系统

    Fig.  7  Preview control based UAV flight control system

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出版历程
  • 收稿日期:  2015-06-29
  • 录用日期:  2015-10-19
  • 刊出日期:  2016-02-20

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