Pages that link to "Item:Q751604"
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The following pages link to On covariance function tests used in system identification (Q751604):
Displaying 50 items.
- Dual time-frequency domain system identification (Q1932694) (← links)
- Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation (Q1941257) (← links)
- A note on the asymptotic and exact Fisher information matrices of a Markov switching VARMA process (Q1985964) (← links)
- Closed-loop identification of MIMO systems in the prediction error framework: data informativity analysis (Q2003812) (← links)
- Efficiency analysis of the simplified refined instrumental variable method for continuous-time systems (Q2003845) (← links)
- Data filtering based least squares iterative algorithm for parameter identification of output error autoregressive systems (Q2015157) (← links)
- Optimal direct data-driven control with stability guarantees (Q2034195) (← links)
- Maximum likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution (Q2059327) (← links)
- Application of regularized Savitzky-Golay filters to identification of time-varying systems (Q2065216) (← links)
- Nonparametric identification of Kronecker networks (Q2081800) (← links)
- Mean-square consistency of the \(f\)-truncated \(M^2\)-periodogram (Q2103640) (← links)
- A robust whiteness test for the identification of discrete-time linear models: use of orthonormal transfer functions (Q2116640) (← links)
- Linear system identification using the sequential stabilizing spline algorithm (Q2123234) (← links)
- Empirical Bayes identification of stationary processes and approximation of Toeplitz spectra (Q2151875) (← links)
- Output-only identification of input-output models (Q2173906) (← links)
- Kernel-based identification of non-causal systems with application to inverse model control (Q2174023) (← links)
- Joining and decomposing reaction networks (Q2182291) (← links)
- Data informativity for the open-loop identification of MIMO systems in the prediction error framework (Q2184546) (← links)
- A new look at the statistical identification of nonstationary systems (Q2188279) (← links)
- On optimal design of experiments for static polynomial approximation of nonlinear systems (Q2203474) (← links)
- Identification of stochastic nonlinear models using optimal estimating functions (Q2207186) (← links)
- Facing undermodelling in sign-perturbed-sums system identification (Q2242890) (← links)
- Bayesian positive system identification: truncated Gaussian prior and hyperparameter estimation (Q2242966) (← links)
- Closed-loop online harmonic vibration estimation in DC electric motor systems (Q2243396) (← links)
- Wiener and Hammerstein uncertain models identification (Q2271598) (← links)
- Analysis of state space system identification methods based on instrumental variables and subspace fitting (Q2275026) (← links)
- Funnel filters: a new class of filters for frequency estimation of harmonic signals (Q2275041) (← links)
- Closed-loop identification condition for ARMAX models using routine operating data (Q2276136) (← links)
- Linear prediction error methods for stochastic nonlinear models (Q2280666) (← links)
- Auxiliary model based recursive and iterative least squares algorithm for autoregressive output error autoregressive systems (Q2285824) (← links)
- The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems (Q2289158) (← links)
- An adaptive method to parameter identification and synchronization of fractional-order chaotic systems with parameter uncertainty (Q2290740) (← links)
- Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise (Q2292378) (← links)
- Control-based algorithms for high dimensional online learning (Q2297419) (← links)
- Frequency domain identification of FIR models in the presence of additive input-output noise (Q2307571) (← links)
- Identification of water depth and velocity potential for water waves (Q2328116) (← links)
- A unified framework for EIV identification methods when the measurement noises are mutually correlated (Q2342452) (← links)
- A frequency response identification method for discrete-time processes with cyclic steady state conditions (Q2342461) (← links)
- Implementation of algorithms for tuning parameters in regularized least squares problems in system identification (Q2356683) (← links)
- On the equivalence of least costly and traditional experiment design for control (Q2377971) (← links)
- A Bayesian approach to sparse dynamic network identification (Q2391442) (← links)
- Identifiability of affine linear parameter-varying models (Q2407166) (← links)
- Leading impulse response identification via the elastic net criterion (Q2407167) (← links)
- Robust time-domain output error method for identifying continuous-time systems with time delay (Q2407908) (← links)
- On adaptive covariance and spectrum estimation of locally stationary multivariate processes (Q2409117) (← links)
- Analysis of over-sampling based identification (Q2409331) (← links)
- Errors-in-variables identification using maximum likelihood estimation in the frequency domain (Q2409336) (← links)
- Maximum entropy vector kernels for MIMO system identification (Q2409365) (← links)
- A general multirate approach for direct closed-loop identification to the Nyquist frequency and beyond (Q2409424) (← links)
- Structure discrimination in block-oriented models using linear approximations: a theoretic framework (Q2409436) (← links)