Recursive prediction error identification and scaling of non-linear state space models using a restricted black box parameterization期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Recursive prediction error identification and scaling of non-linear state space models using a restricted black box parameterization

Authors:	Torbjö rn Wigren^{[Author Vitae]}

Affiliation:	Division of Systems and Control, Department of Information Technology, Uppsala University, P.O. Box 337, SE-75105 Uppsala, Sweden

Abstract:

Keywords:	Identification algorithms Non-linear systems Prediction error methods Recursive Sampling State-space models
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