受复杂多通道通信约束的网络化系统H2/H滤波
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作者单位:

上海大学a. 机电工程与自动化学院,b. 上海市电站自动化重点实验室,上海200072.

作者简介:

宋志华

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中图分类号:

TP273

基金项目:

国家自然科学基金项目(61104089, 61074032);上海市青年科技启明星计划项目(13QA1401600);上海市自然科学基金项目(11ZR1413100);上海市科委基础研究重点项目(11jc1404000).


H2/H filtering for networked systems with complex multi-channel communication constraints
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Affiliation:

a. School of Mechatronics Engineering and Automation,b. Shanghai Key Laboratory of Power Station Automation Technology,Shanghai University,Shanghai 200072,China.

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    摘要:

    多通道网络化系统中每个通道存在不尽相同的网络不确定性因素, 使得H2/H 滤波更加困难. 对此, 提出一种受多通道通信约束的网络化系统滤波方法. 首先, 基于最大数据包错序思想解决了传感器到滤波器之间的复杂多通道通信约束的问题; 然后, 建立了更加普适的融合多通道通信约束的滤波误差动态系统模型, 证明了在已知最长网络延时和最大连续丢包数情况下, 所设计的滤波器可使系统随机稳定且满足??2/??∞ 性能指标. 仿真结果表明该方法可行且有效.

    Abstract:

    The H2/H  filtering for complex multi-channel networked systems with different network-related nondeterministic issues in each channel is studied, where multiple signals are encapsulated into single packet and transmitted through one common channel. By using a maximum data packet out-of-order strategy, multi-channel communication constraints from the sensor to the filter are firstly solved within one framework. A generalized comprehensive filtering error dynamic system model which contains multi-channel communication constraints is then established. Under the known maximum network-induced delays and the known number of data packet dropout, the designed filter enables multi-channel error dynamic system to be stochastic stability and to guarantee a prescribed H2/H performance. Numerical simulation results show the feasibility and efficiency of the proposed method.

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引用本文

杜大军 宋志华 费敏锐.受复杂多通道通信约束的网络化系统H2/H滤波[J].控制与决策,2014,29(7):1167-1173

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  • 收稿日期:2013-05-10
  • 最后修改日期:2013-10-10
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  • 在线发布日期: 2014-07-20
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