Stochastic approximation in nonparametric identification of Hammerstein systems

DOI10.1109/TAC.2002.804483zbMath1364.93829MaRDI QIDQ5267014

Włodzimierz Greblicki

Publication date: 20 June 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) Stochastic approximation (62L20)

Related Items (15)

Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models ⋮ Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm ⋮ Parameter identification of Hammerstein systems containing backlash operators with arbitrary-shape parametric borders ⋮ A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets ⋮ A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system ⋮ Identification of multiple-input single-output Hammerstein models using Bézier curves and Bernstein polynomials ⋮ Adaptive tracking and recursive identification for Hammerstein systems ⋮ On-line wavelet estimation of Hammerstein system nonlinearity ⋮ Dual-mode predictive control algorithm for constrained Hammerstein systems ⋮ A model-based PID controller for Hammerstein systems using B-spline neural networks ⋮ Self-tuning control based on multi-innovation stochastic gradient parameter estimation ⋮ Identification of NARMAX Hammerstein models with performance assessment using brain storm optimization algorithm ⋮ New results on recursive identification of NARX systems ⋮ Identification of Hammerstein nonlinear ARMAX systems ⋮ System identification of Wiener systems with B-spline functions using De Boor recursion

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