Stochastic approximation in nonparametric identification of Hammerstein systems
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Publication:5267014
DOI10.1109/TAC.2002.804483zbMath1364.93829MaRDI QIDQ5267014
Publication date: 20 June 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
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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