Wiener-Hammerstein Benchmark
From MaRDI portal
Software:18723
No author found.
Related Items (36)
Identification of Wiener-Hammerstein systems by a nonparametric separation of the best linear approximation ⋮ Unnamed Item ⋮ Linear approximation and identification of MIMO Wiener-Hammerstein systems ⋮ Set-membership errors-in-variables identification of MIMO linear systems ⋮ Nonlinear predictive control of dynamic systems represented by Wiener-Hammerstein models ⋮ Recursive least squares and multi-innovation gradient estimation algorithms for bilinear stochastic systems ⋮ Two nonlinear optimization methods for black box identification compared ⋮ The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise ⋮ Kernel-based identification of Wiener-Hammerstein system ⋮ Identification of block-oriented nonlinear systems starting from linear approximations: a survey ⋮ A stochastic variational framework for recurrent Gaussian processes models ⋮ One-shot set-membership identification of generalized Hammerstein-Wiener systems ⋮ Recursive parameter identification of the dynamical models for bilinear state space systems ⋮ A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data ⋮ Parameter estimation of Wiener systems based on the particle swarm iteration and gradient search principle ⋮ Initial estimates for Wiener-Hammerstein models using phase-coupled multisines ⋮ A randomized algorithm for nonlinear model structure selection ⋮ Impact of random weights on nonlinear system identification using convolutional neural networks ⋮ Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle ⋮ The bias compensation based parameter and state estimation for observability canonical state-space models with colored noise ⋮ Hammerstein system identification through best linear approximation inversion and regularisation ⋮ A fractional approach to identify Wiener-Hammerstein systems ⋮ Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification ⋮ On conditional risk estimation considering model risk ⋮ Initial estimates of the linear subsystems of Wiener-Hammerstein models ⋮ An iterative algorithm for simulation error based identification of polynomial input–output models using multi-step prediction ⋮ WH-EA: an evolutionary algorithm for Wiener-Hammerstein system identification ⋮ Linear prediction error methods for stochastic nonlinear models ⋮ Benchmark problems for continuous-time model identification: design aspects, results and perspectives ⋮ Randomized algorithms for nonlinear system identification with deep learning modification ⋮ Subspace identification of Hammerstein model with unified discontinuous nonlinearity ⋮ An improved method for Wiener-Hammerstein system identification based on the fractional approach ⋮ Identification of Wiener-Hammerstein models based on variational Bayesian approach in the presence of process noise ⋮ Nonlinear system identification using fractional Hammerstein-Wiener models ⋮ Parametric identification of parallel Wiener-Hammerstein systems ⋮ Improved closed-loop subspace identification with prior information
This page was built for software: Wiener-Hammerstein Benchmark
