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离散系统LMI滤波技术
引用本文:范训礼,谢振华,张勇.离散系统LMI滤波技术[J].飞行力学,1999,17(4):55-60.
作者姓名:范训礼  谢振华  张勇
作者单位:西北工业大学,西安,710072
基金项目:国家自然科学基金! (69874032)
摘    要:给出了一种离散系统最优滤波器的线性矩阵不等式(LMI)设计方法。在系统干扰噪声能量有界情况下,将有约束的滤波问题转换为无约束的最优状态估计问题。利用LMI方法给出了最优无偏滤波器存在的充分必要条件,所得滤波器的阶数小于系统状态个数。将LMI方法应用于飞机飞行试验数据处理中,分析了实际飞行条件下飞机运动的模型,并对该模型进行扩展线性化处理,得到了一个较易实现的LMI滤波算法。仿真结果表明,所提出的算

关 键 词:线性矩阵不等式  状态估计  飞行试验  非线性滤波
修稿时间:1999年6月10日

Discrete System Filtering via LMI
Fan Xunli,Xie Zhenhua,Zhang Yong.Discrete System Filtering via LMI[J].Flight Dynamics,1999,17(4):55-60.
Authors:Fan Xunli  Xie Zhenhua  Zhang Yong
Institution:Northwestern Polytechnical University
Abstract:This paper studies the problem of getting the optimal unbiased filter for discrete system using the method of linear matrix inequality(LMI). The order of the optimal filter is less than the number of system states. The problem of restricted filter design is transferred into non restricted filter design. At last the existence condition of unbiased filter is given in this paper. As an example, it deals with flight test data filtering methods on LMI. Considering the practical flight condition, a new non linear system model for airplane flight is deduced and a new LMI filter, which is the extended linearizing realization of the solution, is provided. Practical results show that the new LMI filter is effective in flight test data processing.
Keywords:Linear matrix inequality  State estimation  Flight test    Non  linear filter
本文献已被 CNKI 维普 万方数据 等数据库收录!
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