Pages that link to "Item:Q4022608"

The following pages link to Subspace model identification Part 1. The output-error state-space model identification class of algorithms (Q4022608):

Displaying 50 items.

• The most powerful unfalsified model for data with missing values (Q305625) (← links)
• Realization and identification of autonomous linear periodically time-varying systems (Q458862) (← links)
• System identification methods for (operational) modal analysis: review and comparison (Q503871) (← links)
• Stochastic system transformation using generalized orthonormal basis functions with applications to continuous-time system identification (Q540190) (← links)
• High-performance numerical algorithms and software for subspace-based linear multivariable system identification (Q596216) (← links)
• Boundary control approach to the spectral estimation problem: the case of multiple poles (Q661027) (← links)
• Subspace based system identification with periodic excitation signals (Q672228) (← links)
• Guaranteed stability with subspace methods (Q672701) (← links)
• Behavioural modelling using the MOESP algorithm, dynamic neural networks and the Bartels-Stewart algorithm (Q952804) (← links)
• Applications of TLS and related methods in the environmental sciences (Q1019210) (← links)
• Subspace identification for continuous-time errors-in-variables model from sampled data (Q1049809) (← links)
• Application of a subspace model identification technique to identify LTI systems operating in closed-loop (Q1261093) (← 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)
• Subspace algorithms for the identification of multivariable dynamic errors-in-variables models (Q1376274) (← links)
• Estimation of resonant frequencies and quality factors from time domain computations. (Q1418669) (← links)
• Recursive 4SID algorithms using gradient type subspace tracking (Q1614337) (← links)
• Tensor network subspace identification of polynomial state space models (Q1626879) (← links)
• Recursive subspace identification of AUV dynamic model under general noise assumption (Q1718643) (← links)
• Hierarchical gradient-based identification of multivariable discrete-time systems (Q1764051) (← links)
• Subspace identification of Hammerstein model with unified discontinuous nonlinearity (Q1792765) (← links)
• Subspace method aided data-driven fault detection based on principal component analysis (Q1794134) (← links)
• A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems (Q1890978) (← links)
• Fast subspace-based system identification: An instrumental variable approach (Q1898499) (← links)
• Subspace-based methods for the identification of linear time-invariant systems (Q1911277) (← 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 hidden Markov models for linear Gaussian systems with applications to event-based state estimation (Q2021307) (← 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)
• A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data (Q2125553) (← links)
• A linear algorithm for the minimal realization problem in physical coordinates with a non-invertible output matrix (Q2125672) (← 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)
• Problem of mathematical data interpretation. II: Distributed-parameter systems (Q2215569) (← 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)
• PO-MOESP subspace identification of directed acyclic graphs with unknown topology (Q2409410) (← links)
• Nuclear norm system identification with missing inputs and outputs (Q2434436) (← links)
• Subspace identification of MIMO LPV systems using a periodic scheduling sequence (Q2456509) (← links)
• Subspace-based prediction of linear time-varying stochastic systems (Q2477697) (← links)
• A note on persistency of excitation (Q2504529) (← links)
• Algorithms for deterministic balanced subspace identification (Q2576077) (← links)
• Subspace system identification for training-based MIMO channel estimation (Q2576122) (← links)
• A novel subspace identification approach with enforced causal models (Q2576151) (← links)
• Topology identification of heterogeneous networks: identifiability and reconstruction (Q2662295) (← links)
• A novel subspace identification approach with passivity enforcement (Q2665656) (← links)
• Application of model-free LQG subspace predictive control to TCP congestion control (Q2928554) (← links)
• Closed-loop data-driven simulation (Q3058350) (← links)
• Subspace model identification Part 3. Analysis of the ordinary output-error state-space model identification algorithm (Q3137565) (← links)