文章基本信息

标题：A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems ⁎
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作者：Tom R.V. Steentjes ; Mircea Lazar ; Paul M.J. Van den Hof 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：23
页码：236-241
DOI：10.1016/j.ifacol.2018.12.041
语种：English
出版社：Elsevier
摘要：AbstractThe problem of identifying single modules in multiple-input-single-output (MISO) systems is considered. A novel approach to distributed identification of MISO finite impulse response systems is presented. The distributed identification is discerned by the local estimation of local parameters, which correspond to a module in the MISO system. The local estimators are derived from the standard recursive least squares estimator and require limited information exchange. By Lyapunov’s second method, sufficient conditions are derived for asymptotic convergence of the estimators to the true parameters in the absence of disturbances, which lead to asymptotic unbiasedness in the presence of additive output disturbances.
关键词：KeywordsDistributed estimationrecursive methodsidentificationLyapunov methodsconvergence