Pages that link to "Item:Q4014335"

The following pages link to Quantifying the error in estimated transfer functions with application to model order selection (Q4014335):

Displaying 50 items.

• Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
• Sparse plus low rank network identification: a nonparametric approach (Q503197) (← links)
• The quest for the right kernel in Bayesian impulse response identification: the use of OBFs (Q680545) (← links)
• Assessing the quality of identified models through the asymptotic theory -- when is the result reliable? (Q705145) (← links)
• Non-asymptotic quality assessment of generalised FIR models with periodic inputs (Q705182) (← links)
• Inversion of probabilistic structural models using measured transfer functions (Q839232) (← links)
• Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator (Q895270) (← links)
• Non-asymptotic model quality assessment of transfer functions at multiple frequency points (Q900193) (← links)
• A new kernel-based approach for linear system identification (Q985267) (← links)
• Model uncertainty in frequency response based system identification (Q1127396) (← links)
• Recusrsive prediction error identification using the nonlinear Wiener model (Q1261092) (← links)
• Simultaneous identification of nominal model, parametric uncertainty and unstructured uncertainty for robust control (Q1322806) (← links)
• Stochastic and worst case system identification are not necessarily incompatible (Q1337739) (← links)
• Unfalsified plant model parameterization from closed-loop experimental data (Q1360455) (← links)
• Model quality evaluation in set membership identification (Q1362433) (← links)
• Robust tuning of PID regulators based on step-response identification (Q1367307) (← links)
• Robust detection of sensor faults by means of a statistical test (Q1614287) (← links)
• On input design for regularized LTI system identification: power-constrained input (Q1716546) (← links)
• From experiment design to closed-loop control (Q1776434) (← links)
• Relations between uncertainty structures in identification for robust control (Q1776436) (← links)
• System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
• Robust filtering and feedforward control based on probabilistic descriptions of model errors (Q1802515) (← links)
• Model validation for control and controller validation in a prediction error identification framework. I: Theory (Q1868048) (← links)
• Quantification of uncertainty in transfer function estimation: A mixed probabilistic-worst-case approach (Q1893019) (← links)
• The role of signal processing methods in the robust design of predictive control (Q1894426) (← links)
• Identification and control -- Closed-loop issues (Q1911272) (← links)
• Estimation of model quality (Q1911273) (← links)
• Worst-case control-relevant identification (Q1911275) (← links)
• Modelling of uncertain systems via linear programming (Q1914995) (← links)
• On approximation of stable linear dynamical systems using Laguerre and Kautz functions (Q1917128) (← links)
• \(H_{\infty}\) identification of ``soft'' uncertainty models (Q1960459) (← links)
• Tight error bounds for projection algorithms in conditional set membership estimation (Q1960633) (← links)
• Nonparametric identification of Kronecker networks (Q2081800) (← links)
• Linear system identification using the sequential stabilizing spline algorithm (Q2123234) (← links)
• An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems (Q2276107) (← links)
• Implementation of algorithms for tuning parameters in regularized least squares problems in system identification (Q2356683) (← links)
• On the estimation of transfer functions, regularizations and Gaussian processes-revisited (Q2391440) (← links)
• A Bayesian approach to sparse dynamic network identification (Q2391442) (← links)
• Maximum entropy vector kernels for MIMO system identification (Q2409365) (← links)
• Validity of the standard cross-correlation test for model structure validation (Q2440723) (← links)
• Explicit expression of the parameter bias in identification of Laguerre models from step responses (Q2503614) (← links)
• Quantification of frequency domain error bounds with guaranteed confidence level in prediction error identification (Q2504545) (← links)
• Identification for control: from the early achievements to the revival of experiment design (Q2511994) (← links)
• Estimating linear time-invariant models of nonlinear time-varying systems (Q2512147) (← links)
• Reduced-order controller design via iterative identification and control (Q2512275) (← links)
• \(H_{\infty}\) set membership identification: a survey (Q2576149) (← links)
• Controller validation (Q2763360) (← links)
• (Q4300069) (← links)
• Analysis of a low-complexity change detection scheme (Q4508606) (← links)
• Generalized System Identification with Stable Spline Kernels (Q4553782) (← links)