firsystemidentificationwithsetvaluedandpreciseobservationsfrommultiplesensors

CSpace > 系统科学研究所

	firsystemidentificationwithsetvaluedandpreciseobservationsfrommultiplesensors
	Zhang Hang; Wang Ting; Zhao Yanlong
	2019-01-01
发表期刊	sciencechinainformationscience
ISSN	1674-733X
卷号	62 期号:5
摘要	This paper considers the system identification problem for FIR (finite impulse response) systems with set-valued and precise observations received from multiple sensors. A fusion estimation algorithm based on some suitable identification algorithms for different types of observations is proposed. In particular, least square method is chosen for FIR systems with precise observations, while empirical measure method and EM algorithm are chosen for FIR systems with set-valued observations in the cases of periodic and general system inputs, respectively. Then, the quasi-convex combination estimator (QCCE) fusing the two different estimators by a linear combination with appropriate weights is constructed. Furthermore, the convergence properties are theoretically analyzed in terms of strong consistency and asymptotic efficiency. The fused estimator QCCE is proved to achieve the Cramer-Rao (CR) lower bound asymptotically under periodic inputs. Extensive numerical simulations validate the superiority of the fusion estimation algorithm under both periodic and general inputs.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/36113
专题	系统科学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Zhang Hang,Wang Ting,Zhao Yanlong. firsystemidentificationwithsetvaluedandpreciseobservationsfrommultiplesensors[J]. sciencechinainformationscience,2019,62(5).
APA	Zhang Hang,Wang Ting,&Zhao Yanlong.(2019).firsystemidentificationwithsetvaluedandpreciseobservationsfrommultiplesensors.sciencechinainformationscience,62(5).
MLA	Zhang Hang,et al."firsystemidentificationwithsetvaluedandpreciseobservationsfrommultiplesensors".sciencechinainformationscience 62.5(2019).