Two-Stage Recursive Least Squares Parameter Identification for Cascade Systems with Dead Zone

DOI10.1007/978-981-10-2335-4_25zbMath1414.93195OpenAlexW2520864277MaRDI QIDQ5377271

Minlin Wang, Xuemei Ren, Linwei Li, Wei Zhao

Publication date: 24 May 2019

Published in: Proceedings of 2016 Chinese Intelligent Systems Conference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-10-2335-4_25

zbMATH Keywords

dead zoneparameter identificationcascade systemstwo-stage algorithm

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Hierarchical systems (93A13) Identification in stochastic control theory (93E12)

Cites Work

• Adaptive tracking of nonlinear systems with non-symmetric dead-zone input
• Modeling and identification of systems with backlash
• Identification of nonlinear dynamic systems with input saturation and output backlash using three-block cascade models
• Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
• Two-stage recursive least squares parameter estimation algorithm for output error models
• Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
• Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle
• Subspace-based identification algorithms for Hammerstein and Wiener models
• Recursive identification method for MISO Wiener-Hammerstein model

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