Generalized Wiener system identification: General backlash nonlinearity and finite impulse response linear part

DOI10.1002/acs.2437zbMath1338.93388OpenAlexW1569512584MaRDI QIDQ2802394

John jun. Reyland, Er-wei Bai

Publication date: 25 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2437

zbMATH Keywords

system identificationparameter estimationnonlinear systemsbacklashWiener systems

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (5)

Least squares identification for Hammerstein multi-input multi-output systems based on the key-term separation technique ⋮ Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash ⋮ Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise ⋮ System identification of a class of Wiener systems with hysteretic nonlinearities ⋮ Modelling and identification of nonlinear cascade systems with backlash input and static output nonlinearities

Cites Work

• Parameter identification of Hammerstein systems containing backlash operators with arbitrary-shape parametric borders
• Identification of block-oriented systems in the presence of nonparametric input nonlinearities of switch and backlash types
• Block-oriented nonlinear system identification
• Modeling and identification of systems with backlash
• Identification of linear systems with hard input nonlinearities of known structure
• Frequency identification of nonparametric Wiener systems containing backlash nonlinearities
• Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity
• Recursive identification algorithm for dynamic systems with output backlash and its convergence
• Identification of cascade systems with backlash
• Bounding the Parameters of Linear Systems With Input Backlash

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