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带多丢包和滞后随机不确定系统的最优线性估计
引用本文:李娜,马静,孙书利.带多丢包和滞后随机不确定系统的最优线性估计[J].自动化学报,2015,41(3):611-619.
作者姓名:李娜  马静  孙书利
作者单位:1.黑龙江大学电子工程学院 哈尔滨 150080;
基金项目:国家自然科学基金(61174139,61403131);黑龙江省杰出青年基金(JC201412);黑龙江大学研究生创新科研项目(YJSCX2014-076HLJU)资助~~
摘    要:研究了带多丢包和滞后网络化随机不确定系统的最优线性估计问题. 通过白色乘性噪声来描述系统参数的随机不确定性. 通过一组满足Bernoulli分布的随机变量来描述数据传输过程中发生的丢包和滞后现象. 应用新息分析方法, 设计了线性最小方差意义下的最优线性估值器, 包括滤波器, 预报器和平滑器. 给出了稳态估值器存在的一个充分条件. 仿真例子验证了其有效性.

关 键 词:乘性噪声    丢包    随机滞后    最优线性估计    新息分析方法
收稿时间:2014-07-01

Optimal Linear Estimation for Stochastic Uncertain Systems with Multiple Packet Dropouts and Delays
LI Na , MA Jing , SUN Shu-Li.Optimal Linear Estimation for Stochastic Uncertain Systems with Multiple Packet Dropouts and Delays[J].Acta Automatica Sinica,2015,41(3):611-619.
Authors:LI Na  MA Jing  SUN Shu-Li
Affiliation:1.School of Electronics Engineering, Heilongjiang University, Harbin 150080;2.School of Mathematical Science, Heilongjiang University, Harbin 150080
Abstract:This paper is concerned with the optimal linear estimation problem for networked stochastic uncertain systems with multiple packet dropouts and delays. The random uncertainties of system parameters are described by white multiplicative noises. The phenomena of packet dropouts and delays in data transmission are described by a group of Bernoulli distributed random variables. Using an innovation analysis method, the optimal linear estimators including filter, predictor and smoother are presented in a linear minimum variance sense. A sufficient condition for the existence of the steady-state estimators is given. An example shows the effectiveness of the optimal linear estimators.
Keywords:Multiplicative noise  packet dropout  random delay  optimal linear estimation  innovation analysis method
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