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作 者:许超 Chen Zhigang Shao Huihe
机构地区:[1]Automation Department, Shanghai Jiaotong University, Shanghai 200030, P.R.China
出 处:《High Technology Letters》2004年第3期74-77,共4页高技术通讯(英文版)
基 金:国家重点基础研究发展计划(973计划)
摘 要:Augmented UD identification (AUDI) technique is derived from the traditional recursive least-squares (RLS) algorithm and has been developed rapidly during the last decade. AUDI is a cluster of identification algorithms based on matrix factorization methods (such as QR and LDL) and thus shows its stable performance in system identification applications. An AUDI algorithm with resetting strategy (RAUDI) has much ability in rapid time-varying SISO system identification. In this paper, an endeavor to expand the RAUDI in MIMO system identification is made and a comparative experiement is done to exhibit its good ability in rapidly changing parameter estimate in MIMO system.
关 键 词:RAUDI MIMO系统 系统识别 矩阵因数分解模型 参数估计 时间变量系统
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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