Joint identification of plant rational models and noise distribution functions using binary-valued observations

doi:10.1016/j.automatica.2005.12.004

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	Joint identification of plant rational models and noise distribution functions using binary-valued observations
	Wang, LY ; Yin, GG ; Zhang, JF
	2006-04-01
发表期刊	AUTOMATICA
ISSN	0005-1098
卷号	42 期号:4 页码:535-547
摘要	System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor information, establishing relationships between communication resource limitations and identification complexity, and studying sensor networks. This paper resolves two issues arising in such system identification problems. First, regression structures for identifying a rational model contain non-smooth nonlinearities, leading to a difficult nonlinear filtering problem. By introducing a two-step identification procedure that employs periodic signals, empirical measures, and identifiability features, rational models can be identified without resorting to complicated nonlinear searching algorithms. Second, by formulating a joint identification problem, we are able to accommodate scenarios in which noise distribution functions are unknown. Convergence of parameter estimates is established. Recursive algorithms for joint identification and their key properties are further developed. (c) 2006 Elsevier Ltd. All rights reserved.
关键词	system identification estimation binary-valued observations identifiability parameter convergence recursive algorithms
DOI	10.1016/j.automatica.2005.12.004
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000236340300003
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/3324
专题	系统科学研究所
通讯作者	Wang, LY
作者单位	1.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA 2.Wayne State Univ, Dept Math, Detroit, MI 48202 USA 3.Chinese Acad Sci, LSC, Acad Math & Syst Sci, Beijing 100864, Peoples R China
推荐引用方式 GB/T 7714	Wang, LY,Yin, GG,Zhang, JF. Joint identification of plant rational models and noise distribution functions using binary-valued observations[J]. AUTOMATICA,2006,42(4):535-547.
APA	Wang, LY,Yin, GG,&Zhang, JF.(2006).Joint identification of plant rational models and noise distribution functions using binary-valued observations.AUTOMATICA,42(4),535-547.
MLA	Wang, LY,et al."Joint identification of plant rational models and noise distribution functions using binary-valued observations".AUTOMATICA 42.4(2006):535-547.