Pages that link to "Item:Q1314746"
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The following pages link to 4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems (Q1314746):
Displaying 50 items.
- A unifying theorem for three subspace system identification algorithms (Q1911278) (← links)
- Choice of state-space basis in combined deterministic-stochastic subspace identification (Q1911280) (← links)
- Canonical correlation analysis, approximate covariance extension, and identification of stationary time series (Q1917129) (← links)
- Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data (Q1923073) (← links)
- Analysis of the asymptotic properties of the MOESP type of subspace algorithms (Q1975543) (← links)
- Learning models for seismic-induced vibrations optimal control in structures via random forests (Q2025721) (← links)
- A locally optimal rank revealing product decomposition (Q2029861) (← links)
- Continuous-time system identification with neural networks: model structures and fitting criteria (Q2034176) (← links)
- A linear algorithm for the minimal realization problem in physical coordinates with a non-invertible output matrix (Q2125672) (← links)
- An iterative state-space identification method with data correlation for MIMO systems with measurement noise (Q2155782) (← links)
- Data-dependent analysis of model validation errors for linear system identification (Q2157855) (← links)
- Analysis of the model-based corrector approach for explicit cosimulation (Q2163284) (← links)
- Methods for finding a regularized solution when identifying linear multivariable multiconnected discrete systems (Q2174042) (← links)
- Subspace-based deterministic identification of MIMO linear state-delayed systems (Q2193640) (← links)
- A linear systems approach to imaging through turbulence (Q2251214) (← links)
- A new method for fault prediction of model-unknown nonlinear system (Q2271502) (← links)
- Business cycle analysis and VARMA models (Q2271626) (← links)
- Analysis of state space system identification methods based on instrumental variables and subspace fitting (Q2275026) (← links)
- On convexification of system identification criteria (Q2289048) (← links)
- Subspace identification of circulant systems (Q2377985) (← links)
- PO-MOESP subspace identification of directed acyclic graphs with unknown topology (Q2409410) (← links)
- New method for identifying finite degree Volterra series (Q2440625) (← links)
- The role of vector autoregressive modeling in predictor-based subspace identification (Q2475462) (← links)
- Kalman filters in non-uniformly sampled multirate systems: for FDI and beyond (Q2476224) (← links)
- Subspace-based prediction of linear time-varying stochastic systems (Q2477697) (← links)
- Closed-loop subspace identification using the parity space (Q2491918) (← links)
- Mixed \(\mathcal H_2/\mathcal H_{\infty}\) control: the discrete-time case (Q2504499) (← links)
- Subspace-based identification algorithms for Hammerstein and Wiener models (Q2511966) (← links)
- Control strategies towards faster quantitative imaging in atomic force microscopy (Q2511998) (← links)
- Fast output sampling regulators with integral action (Q2512190) (← links)
- Design of reduced-order controllers via \(H_\infty\) and parametric optimisation: comparison for an active suspension system (Q2512268) (← links)
- Algorithms for deterministic balanced subspace identification (Q2576077) (← links)
- A novel subspace identification approach with enforced causal models (Q2576151) (← links)
- A novel subspace identification approach with passivity enforcement (Q2665656) (← links)
- Dynamic mode decomposition with control (Q2790855) (← links)
- Robust maximum likelihood estimation for stochastic state space model with observation outliers (Q2822333) (← links)
- Application of model-free LQG subspace predictive control to TCP congestion control (Q2928554) (← links)
- Recovery of the inherent dynamics of noise-driven amplifier flows (Q2973609) (← links)
- Decomposition of a state-space model with inputs (Q3012674) (← links)
- Modelling and system identification of active magnetic bearing systems (Q3595294) (← links)
- Fast estimation methods for time-series models in state–space form (Q3615060) (← links)
- Subspace identification of linear parameter-varying systems with innovation-type noise models driven by general inputs and a measurable white noise time-varying parameter vector (Q3625244) (← links)
- USING SUBSPACE METHODS FOR ESTIMATING ARMA MODELS FOR MULTIVARIATE TIME SERIES WITH CONDITIONALLY HETEROSKEDASTIC INNOVATIONS (Q3632410) (← links)
- Recursive subspace identification subject to relatively slow time-varying load disturbance (Q4584785) (← links)
- Nonlinear system identification using neural state space models, applicable to robust control design (Q4844520) (← links)
- Toward Fitting Structured Nonlinear Systems by Means of Dynamic Mode Decomposition (Q5014013) (← links)
- Improved closed-loop subspace identification with prior information (Q5027793) (← links)
- Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
- A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models (Q5080149) (← links)
- Predictive control of fast-sampled systems using the delta-operator (Q5166651) (← links)
