Pages that link to "Item:Q3812147"
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The following pages link to On- and off-line identification of linear state-space models (Q3812147):
Displaying 39 items.
- High-performance numerical algorithms and software for subspace-based linear multivariable system identification (Q596216) (← links)
- Identification and data-driven model reduction of state-space representations of lossless and dissipative systems from noise-free data (Q642922) (← links)
- Subspace based system identification with periodic excitation signals (Q672228) (← links)
- Guaranteed stability with subspace methods (Q672701) (← links)
- Subspace identification for FDI in systems with non-uniformly sampled multirate data (Q856507) (← links)
- Applications of TLS and related methods in the environmental sciences (Q1019210) (← links)
- A subspace identification algorithm for descriptor systems (Q1199072) (← links)
- Structured total least squares and \(L_ 2\) approximation problems (Q1260787) (← links)
- Identification of the deterministic part of MIMO state space models given in innovations form from input-output data (Q1314745) (← links)
- 4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems (Q1314746) (← links)
- Recursive 4SID algorithms using gradient type subspace tracking (Q1614337) (← links)
- Tensor network subspace identification of polynomial state space models (Q1626879) (← links)
- Image modeling based on a 2-D stochastic subspace system identification algorithm (Q1697944) (← links)
- Subspace algorithms for the stochastic identification problem (Q1802514) (← links)
- A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems (Q1890978) (← links)
- Subspace-based methods for the identification of linear time-invariant systems (Q1911277) (← links)
- A locally optimal rank revealing product decomposition (Q2029861) (← links)
- Extracting a low-dimensional predictable time series (Q2147946) (← links)
- Nonlinear subspace system identification based on output-only measurements (Q2217612) (← links)
- Nuclear norm system identification with missing inputs and outputs (Q2434436) (← links)
- New method for identifying finite degree Volterra series (Q2440625) (← links)
- From model-based control to data-driven control: survey, classification and perspective (Q2446442) (← links)
- Subspace identification of MIMO LPV systems using a periodic scheduling sequence (Q2456509) (← links)
- Exponential data fitting applied to infiltration, hydrograph separation, and variogram fitting (Q2505924) (← links)
- State-space modeling of two-dimensional vector-exponential trajectories (Q2827482) (← links)
- Time-Domain Identification of Structural Systems from Input-Output Measurements (Q2928040) (← links)
- Application of model-free LQG subspace predictive control to TCP congestion control (Q2928554) (← links)
- STATE-SPACE MODEL IDENTIFICATION USING INPUT AND OUTPUT DATA WITH STEADY STATE VALUES (Q3396934) (← links)
- A subspace algorithm for simultaneous identification and input reconstruction (Q3560246) (← links)
- On-line frequency-and time-domain identification of a linear multivariable system (Q3725986) (← links)
- A new orthogonal series approach to state-space analysis and identification (Q3832400) (← links)
- Subspace model identification Part 1. The output-error state-space model identification class of algorithms (Q4022608) (← links)
- Detectability conditions for output-only subspace identification (Q5069317) (← links)
- A fast algorithm for subspace state-space system identification via exploitation of the displacement structure (Q5946092) (← links)
- Multi-stimulus multi-response posturography (Q5953617) (← links)
- Identification of continuous-time systems from samples of input-output data: An introduction (Q5955828) (← links)
- Realization of stable models with subspace methods (Q5961505) (← links)
- Recursive Algorithms to Update a Numerical Basis Matrix of the Null Space of the Block Row, (Banded) Block Toeplitz, and Block Macaulay Matrix (Q6039266) (← links)
- Data-driven predictive control in a stochastic setting: a unified framework (Q6160766) (← links)
