Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle
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Publication:1660514
DOI10.1016/j.jfranklin.2015.05.005zbMath1395.93259OpenAlexW314234769MaRDI QIDQ1660514
Publication date: 16 August 2018
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.05.005
System identification (93B30) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Least squares and related methods for stochastic control systems (93E24)
Related Items (6)
Least squares identification for Hammerstein multi-input multi-output systems based on the key-term separation technique ⋮ Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle ⋮ Adaptive filtering scheme for parameter identification of nonlinear Wiener–Hammerstein systems and its application ⋮ Parameter estimation algorithms for multivariable Hammerstein CARMA systems ⋮ Modelling and identification of nonlinear cascade systems with backlash input and static output nonlinearities ⋮ Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models
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