Adaptive filtering scheme for parameter identification of nonlinear Wiener–Hammerstein systems and its application
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Publication:5130073
DOI10.1080/00207179.2019.1566634zbMath1453.93233OpenAlexW2910256752MaRDI QIDQ5130073
Publication date: 3 November 2020
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2019.1566634
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
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Cites Work
- Unnamed Item
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- A recursive least squares algorithm for pseudo-linear ARMA systems using the auxiliary model and the filtering technique
- Stability of systems with the duhem hysteresis operator: The dissipativity approach
- Identification of extended Hammerstein systems with hysteresis-type input nonlinearities described by Preisach model
- Initial estimates for Wiener-Hammerstein models using phase-coupled multisines
- Modeling and identification of systems with backlash
- Composite adaptive control for Euler-Lagrange systems with additive disturbances
- A blind approach to the Hammerstein-Wiener model identification
- Adaptive finite-time disturbance observer based sliding mode control for dual-motor driving system
- Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash
- Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle
- An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering
- Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation
- Modeling the dynamic sandwich system with hysteresis using NARMAX model
- Parameter estimation algorithms for multivariable Hammerstein CARMA systems
- Identification of nonlinear cascade systems with output hysteresis based on the key term separation principle
- Robust adaptive parameter estimation of sinusoidal signals
- Convergence analysis of parametric identification methods
- Relaxation and optimisation of a phase-field control system with hysteresis
- A new model for control of systems with friction
- Alternative proofs for improved lmi representations for the analysis and the design of continuous-time systems with polytopic type uncertainty: a predictive approach
- Adaptive hysteresis compensation on an experimental nanopositioning platform
- A Linear Controller for Hysteretic Systems
- Mathematical Models for Hysteresis
- Decomposition-based recursive least-squares parameter estimation algorithm for Wiener-Hammerstein systems with dead-zone nonlinearity
- Hammerstein system identification through best linear approximation inversion and regularisation
- State-space analysis and identification for a class of hysteretic systems
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