Pages that link to "Item:Q751604"

The following pages link to On covariance function tests used in system identification (Q751604):

Displaying 50 items.

• Numerical integration approach to on-line identification of continuous- time systems (Q752630) (← links)
• Pseudo-canonical forms, identifiable parametrizations and simple parameter estimation for linear multivariable systems: Parameter estimation (Q797522) (← links)
• On the martingale approximation of the estimation error of ARMA parameters (Q807566) (← links)
• An indirect prediction error method for system identification (Q810479) (← links)
• Identification of dynamic systems using multiple input-single output (MISO) models (Q837707) (← links)
• Analysis of closed-loop identification with a tailor-made parameterization. With discussion by I. D. Landau, A. Karimi and F. De Bruyne. (Q838176) (← links)
• Low-order self-tuner for fault-tolerant control of a class of unknown nonlinear stochastic sampled-data systems (Q840109) (← links)
• Identification of multi-input systems: variance analysis and input design issues (Q856500) (← links)
• On robustness in control and LTI identification: near-linearity and non-conic uncertainty (Q856504) (← links)
• Modeling continuous-time processes via input-to-state filters (Q856521) (← links)
• A two-stage algorithm for identification of nonlinear dynamic systems (Q856542) (← links)
• LTI approximation of nonlinear systems via signal distribution theory (Q857127) (← links)
• Spectral estimation by least-squares optimization based on rational covariance extension (Q869094) (← links)
• Maximum likelihood identification of noisy input-output models (Q875481) (← links)
• Least costly identification experiment for control (Q880335) (← links)
• Frequency domain maximum likelihood estimation of linear dynamic errors-in-variables models (Q880412) (← links)
• Consensus-based decentralized real-time identification of large-scale systems (Q900223) (← links)
• A randomized algorithm for nonlinear model structure selection (Q900226) (← links)
• Errors-in-variables identification in dynamic networks-consistency results for an instrumental variable approach (Q901094) (← links)
• An interpretation of the dual problem of the THREE-like approaches (Q901098) (← links)
• On homogeneous least-squares problems and the inconsistency introduced by mis-constraining (Q957026) (← links)
• Study of the LTI relations between the outputs of two coupled Wiener systems and its application to the generation of initial estimates for Wiener-Hammerstein systems (Q958253) (← links)
• Iterative robust control: speeding up improvement through iterations (Q962180) (← links)
• On resampling and uncertainty estimation in linear system identification (Q980906) (← links)
• Identification of nonlinear systems using polynomial nonlinear state space models (Q983202) (← links)
• Accuracy analysis of time domain maximum likelihood method and sample maximum likelihood method for errors-in-variables and output error identification (Q983214) (← links)
• Structure testing of wave propagation models used in identification of viscoelastic materials (Q983215) (← links)
• On the equivalence of time and frequency domain maximum likelihood estimation (Q983924) (← links)
• An insight into instrumental variable frequency-domain subspace identification (Q983943) (← links)
• Bayesian system identification via Markov chain Monte Carlo techniques (Q985263) (← links)
• A new kernel-based approach for linear system identification (Q985267) (← links)
• Self-optimizing generalized adaptive notch filters -- comparison of three optimization strategies (Q1000791) (← links)
• Interval predictor models: identification and reliability (Q1012735) (← links)
• Long-term fading channel estimation from sample covariances (Q1023123) (← links)
• A covariance matching approach for identifying errors-in-variables systems (Q1036667) (← links)
• Fuzzy instrumental variable approach for nonlinear discrete-time systems identification in a noisy environment (Q1037876) (← links)
• Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics (Q1049072) (← links)
• Revisiting Hammerstein system identification through the two-stage algorithm for bilinear parameter estimation (Q1049161) (← links)
• A high-order Yule-Walker method for estimation of the AR parameters of an ARMA model (Q1104907) (← links)
• On the worst-case divergence of the least-squares algorithm (Q1128512) (← links)
• On convergence proofs in system identification -- a general principle using ideas from learning theory (Q1128973) (← links)
• Identification of stochastic linear systems in presence of input noise (Q1165819) (← links)
• Neural networks for control systems - a survey (Q1195800) (← links)
• Recusrsive prediction error identification using the nonlinear Wiener model (Q1261092) (← links)
• Application of a subspace model identification technique to identify LTI systems operating in closed-loop (Q1261093) (← links)
• Sidestepping the positive real condition in RELS via multiple RLS identifiers (Q1261105) (← links)
• On the use of minimal parametrisations in multivariable ARMAX identification (Q1267250) (← links)
• Comparison of the closed-loop identification methods in terms of the bias distribution (Q1274247) (← links)
• Linear and nonlinear system identification using separable least-squares (Q1306057) (← links)
• Identification of the deterministic part of MIMO state space models given in innovations form from input-output data (Q1314745) (← links)