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带滤波的无线传感器网络的H_∞控制 被引量:2

H-infinity control of wireless sensor networks with filtering
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摘要 本文研究了基于滤波的无线传感器网络的H∞控制问题.首先建立了无线传感器网络的模型,然后使用稳态Kalman滤波器对多个传感器节点的输出信号进行滤波,将滤波后的信号作为无线传感器网络系统的反馈输出,并通过建模和分析得到带干扰的线性离散切换系统模型.最后设计了切换控制器,并基于Lyapunov函数给出了在任意切换条件下使该切换系统满足H∞控制的条件.仿真结果验证了该方法和结果的可行性. We investigate the H-infinity control of wireless sensor networks based on filtering.First we propose a model for the wireless sensor networks;and then,we apply the steady-state Kalman filter to the output signals of multiple sensor nodes.The obtained signals are considered as the feedback output of wireless sensor networks.By modeling and analyzing,we develop the switching model of the linear discrete-time system with disturbances.Finally,the switching controller is designed.By using Lyapunov function,we develop sufficient conditions of H-infinity control for the linear switched systems with any switching rule.The simulation demonstrates the feasibility of the method and results obtained.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2013年第2期261-265,共5页 Control Theory & Applications
基金 国家自然科学基金资助项目(61073065 61100076 61170024)
关键词 切换系统 滤波 H∞控制 LYAPUNOV函数 switched system filtering H-infinity control Lyapunov function
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  • 1张锦,程京,陆绍飞,沈亚敏.传感器网络中基于密度控制的路由算法[J].华中科技大学学报(自然科学版),2005,33(z1):79-81. 被引量:4
  • 2景博,孙勇,张劼.信息融合技术在传感器网络中的应用研究[J].国外电子测量技术,2005,24(1):5-9. 被引量:8
  • 3蔺智挺,屈玉贵,翟羽佳,赵保华.一种高效覆盖的节点放置算法[J].中国科学技术大学学报,2005,35(3):411-416. 被引量:13
  • 4郑增威,吴朝晖,林怀忠,郑扣根.可靠传感网聚类路由算法研究[J].浙江大学学报(工学版),2005,39(10):1461-1464. 被引量:14
  • 5The Cricket Indoor Location System. http://cricket. csail. mit.edu/.
  • 6R. J. Fontana. E. Richley. J. A. Barney. Commercialization of an ultra wideband precision asset location system. IEEE Conf. on Ultra Wideband Systems and Technologies. Reston. VA. 2003.
  • 7Loren Schwiebert. Sandeep K. S. Gupta. Jennifer Weinmann.Research challenges in wireless networks of biomedical sensors.The 7th annual international conference on Mobile computing and neworking. Rome. Italy. 2001.
  • 8I. F. Akyildiz. et al.A Survey on Sensor Networks. IEEE Communications Magazine. 2002. (8) : 102 - 114.
  • 9Holger Karl. Andreas Willig. A short survey of wireless sensor networks. TKN. Tech Rep: TKN-03-018. 2003.
  • 10K. D. Wong. Physical layer considerations for wireless sensor networks networking. IEEE Int'l Conf. on Sensing and Control.Taipei. 2004.

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  • 1臧传治,梁(韦华),于海斌.无线传感器网络中基于移动智能体的目标追踪[J].控制理论与应用,2006,23(4):601-605. 被引量:9
  • 2Qin F, Dai X, Mitchell J E. Effective-SNR estimation for wireless sensor networks using Kalman filter[ J ]. Ad Hoc Networks ,2013,11(3) :944-958.
  • 3Demigha O, Hidouci W K, Ahmed T. On energy efficiency in co- llaborative target tracking in wireless sensor networks: A re- view[J]. Comrnunieations Surveys & Tutorials, IEEE, 2013, 15(3) :1210 -1222.
  • 4Solouk V, Taghizadeh H, Akbari-Moghanjoughi A, et al. Tracking moving targets in wireless sensor networks using extended diffu- sion strategies of distributed Kalman filter[ C]//2013 IEEE Ma- laysia International Conference on Communications ( MICC ) , IEEE ,2013:213 -216.
  • 5Benini A, Mancini A, Longhi S. An IMU/UWB/vision-based ex- tended kalman filter for Mini-UAV localization in indoor environ- ment using 802.15.4a wireless sensor networks [ J ]. Journal of Intelligent & Robotic Systems,2013,70( 1 -4) :461 -476.
  • 6Weeraddana D M, Walgama K S, Kulasekere E C. Dempster-Sha- fer information filtering in multi-modality wireless sensor network- s[J]. World Academy of Science, Engineering and Technology, 2013,79:644 -651.
  • 7Toffs T, Sterken T, Brebels S, et al. Low power wireless sensor networks for building monitoring [ J ]. Sensors Journal, IEEE, 2013,13(3) :909-915.
  • 8Dong H, Wang Z, Gao H. Distributed H ao filtering for a class of Markovian jump nonlinear time-delay systems over lossy sensor networks[ J]. IEEE Transactions on Industrial Electronics,2013, 60 ( 10 ) :4665 -4672.
  • 9Jiang B, Mao Z, Shi P. Filter design for a class of networked con- trol systems via T-S fuzzy-model approach[ J]. IEEE Transactions on Fuzzy Systems ,2010,18 ( 1 ) :201 -208.
  • 10Ma J, Sun S L. Information fusion estimators for systems with mul- tiple sensors of different packet dropout rates[ J ]. In formation Fu- sion,2011,12 ( 3 ) :213 -222:

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