Identifiability and convergence analysis of the MINLIP estimator

DOI10.1016/j.automatica.2014.10.091zbMath1309.93173OpenAlexW2063911335MaRDI QIDQ2342518

Liang Dai, Kristiaan Pelckmans, Er-wei Bai

Publication date: 28 April 2015

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2014.10.091

zbMATH Keywords

system identificationparameter estimationWiener system

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Cites Work

• Unnamed Item
• Unified set membership theory for identification, prediction and filtering of nonlinear systems
• MINLIP for the identification of monotone Wiener systems
• Block-oriented nonlinear system identification
• Bounded-error parameter estimation: Noise models and recursive algorithms
• Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity
• Making Do with Less: An Introduction to Compressed Sensing
• Nonparametric identification of a particular nonlinear time series system
• Identifiability of single-index models and additive-index models
• Choosing a Point from the Surface of a Sphere

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