Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data
From MaRDI portal
Publication:4590438
DOI10.1109/TCSI.2004.842874zbMath1374.93390OpenAlexW2170312047MaRDI QIDQ4590438
Publication date: 20 November 2017
Published in: IEEE Transactions on Circuits and Systems I: Regular Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tcsi.2004.842874
Related Items (40)
Identification of non-uniformly sampled Wiener systems with dead-zone non-linearities ⋮ Identification methods for two-variable difference systems ⋮ Convergence of HLS estimation algorithms for multivariable ARX-like systems ⋮ Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities ⋮ Convergence properties of the least squares estimation algorithm for multivariable systems ⋮ Performance analysis of multi-innovation gradient type identification methods ⋮ Two-stage least squares based iterative estimation algorithm for CARARMA system modeling ⋮ Auxiliary model-based least-squares identification methods for Hammerstein output-error systems ⋮ A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling ⋮ Multi-innovation least squares identification methods based on the auxiliary model for MISO systems ⋮ Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances ⋮ Recursive subspace identification subject to relatively slow time-varying load disturbance ⋮ Two-stage recursive least squares parameter estimation algorithm for output error models ⋮ Performance analysis of the AM-SG parameter estimation for multivariable systems ⋮ Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model ⋮ Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data ⋮ Parameter estimation with scarce measurements ⋮ Two-stage least squares based iterative identification algorithm for controlled autoregressive moving average (CARMA) systems ⋮ Observable state space realizations for multivariable systems ⋮ Two identification methods for dual-rate sampled-data nonlinear output-error systems ⋮ Recursive least-squares estimation for Hammerstein nonlinear systems with nonuniform sampling ⋮ Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms ⋮ A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system ⋮ Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models ⋮ Performance analysis of stochastic gradient algorithms under weak conditions ⋮ Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems ⋮ Recursive computational formulas of the least squares criterion functions for scalar system identification ⋮ Least-squares parameter estimation algorithm for a class of input nonlinear systems ⋮ Generalized Yule-walker and two-stage identification algorithms for dual-rate systems ⋮ Identification for the second-order systems based on the step response ⋮ Convergence analysis of estimation algorithms for dual-rate stochastic systems ⋮ The residual based interactive least squares algorithms and simulation studies ⋮ Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search ⋮ Control of complex nonlinear dynamic rational systems ⋮ Iterative identification algorithm for Wiener nonlinear systems using the Newton method ⋮ On consistency of recursive least squares identification algorithms for controlled auto-regression models ⋮ On-line parameter estimation for a class of time-varying continuous systems with bounded disturbances ⋮ The residual based interactive stochastic gradient algorithms for controlled moving average models ⋮ Modified stochastic gradient identification algorithms with fast convergence rates ⋮ A new information-weighted recursive algorithm for time-varying systems: application to UAV system identification
This page was built for publication: Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data