国家重点基础研究发展规划项目（G1999032805），国家自然科学基金资助项目（10202004）
根据结构力学与卡尔曼滤波相模拟的理论，构造了一种新的用于连续系统参数识别的广义卡尔曼布西滤波计算格式.该算法运用了结构力学中的串联子结构拼装方法,在每一步子结构拼装的同时嵌入对系统状态和参数的估计以实现系统参数的识别,可以离线计算的数据都通过精细积分算法预先获得.
Based on the analogy between structural mechanics and Kalman filtering,a new extended Kalman-Bucy filtering algorithm was presented to identify parameters of continuous time systems.The algorithm employed the substructures assembly technique of structural mechanics,and the estimation of system states and parameters was embedded in the procedure of substructures assembling.The precise integration method provided all the off-line data for the parameter identification in advance.
钟万勰,吴志刚,高强.广义卡尔曼-布西滤波算法识别系统参数[J].动力学与控制学报,2004,2(1):1~7; Zhong Wanxie, Wu Zhigang, Gao Qiang. System parameter identification with an extended kalman-bucy filtering algorithm[J]. Journal of Dynamics and Control,2004,2(1):1-7.
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