Pages that link to "Item:Q4590438"

The following pages link to Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data (Q4590438):

Displaying 42 items.

• Identification methods for two-variable difference systems (Q318306) (← links)
• Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities (Q325722) (← links)
• Convergence properties of the least squares estimation algorithm for multivariable systems (Q345827) (← links)
• Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model (Q426616) (← links)
• Two-stage least squares based iterative identification algorithm for controlled autoregressive moving average (CARMA) systems (Q453817) (← links)
• Observable state space realizations for multivariable systems (Q453877) (← links)
• Recursive least-squares estimation for Hammerstein nonlinear systems with nonuniform sampling (Q460322) (← links)
• A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system (Q493977) (← links)
• Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems (Q508338) (← links)
• Identification for the second-order systems based on the step response (Q552127) (← links)
• Performance analysis of the AM-SG parameter estimation for multivariable systems (Q628916) (← links)
• Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data (Q636441) (← links)
• Parameter estimation with scarce measurements (Q642909) (← links)
• Performance analysis of multi-innovation gradient type identification methods (Q864278) (← links)
• Auxiliary model-based least-squares identification methods for Hammerstein output-error systems (Q876374) (← links)
• A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling (Q878929) (← links)
• Multi-innovation least squares identification methods based on the auxiliary model for MISO systems (Q883863) (← links)
• Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models (Q942365) (← links)
• Performance analysis of stochastic gradient algorithms under weak conditions (Q948509) (← links)
• The residual based interactive least squares algorithms and simulation studies (Q979937) (← links)
• On consistency of recursive least squares identification algorithms for controlled auto-regression models (Q1007694) (← links)
• The residual based interactive stochastic gradient algorithms for controlled moving average models (Q1021670) (← links)
• Two-stage least squares based iterative estimation algorithm for CARARMA system modeling (Q1667765) (← links)
• Two identification methods for dual-rate sampled-data nonlinear output-error systems (Q1718153) (← links)
• Least-squares parameter estimation algorithm for a class of input nonlinear systems (Q1760800) (← links)
• Control of complex nonlinear dynamic rational systems (Q1785190) (← links)
• Iterative identification algorithm for Wiener nonlinear systems using the Newton method (Q1788772) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← links)
• Recursive computational formulas of the least squares criterion functions for scalar system identification (Q1991294) (← links)
• Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
• Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances (Q2181451) (← links)
• Convergence of HLS estimation algorithms for multivariable ARX-like systems (Q2383841) (← links)
• Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms (Q2454068) (← links)
• Convergence analysis of estimation algorithms for dual-rate stochastic systems (Q2493770) (← links)
• Non-stationary parameter estimation of continuous systems by the least squares method with variable forgetting factor (Q2745141) (← links)
• Modified stochastic gradient identification algorithms with fast convergence rates (Q2846337) (← links)
• On-line parameter estimation for a class of time-varying continuous systems with bounded disturbances (Q3084119) (← links)
• Recursive subspace identification subject to relatively slow time-varying load disturbance (Q4584785) (← links)
• A new information-weighted recursive algorithm for time-varying systems: application to UAV system identification (Q5027839) (← links)
• Identification of non-uniformly sampled Wiener systems with dead-zone non-linearities (Q5035675) (← links)
• Generalized Yule-walker and two-stage identification algorithms for dual-rate systems (Q5423431) (← links)
• A nonmonotone adaptive trust region technique with a forgetting factor (Q6581413) (← links)