Pages that link to "Item:Q3151515"
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The following pages link to Identification of non-linear stochastic systems by state dependent parameter estimation (Q3151515):
Displaying 31 items.
- Prediction error identification of linear systems: a nonparametric Gaussian regression approach (Q627072) (← links)
- A review of Markov chain Monte Carlo and information theory tools for inverse problems in subsurface flow (Q695718) (← links)
- Parameter and state identification in non-linearizable uncertain systems (Q761390) (← links)
- Nonlinear system identification using quasi-ARX RBFN models with a parameter-classified scheme (Q1693815) (← links)
- Fixed-interval smoothing problem from uncertain observations with correlated signal and noise (Q1827371) (← links)
- Variable selection via RIVAL (removing irrelevant variables amidst lasso iterations) and its application to nuclear material detection (Q1937489) (← links)
- Variational system identification for nonlinear state-space models (Q2103663) (← links)
- Refined instrumental variable estimation: maximum likelihood optimization of a unified Box-Jenkins model (Q2342750) (← links)
- Gauss, Kalman and advances in recursive parameter estimation (Q3018540) (← links)
- Nonlinear identification of judgmental forecasts effects at SKU level (Q3088166) (← links)
- Residual models and stochastic realization in state-space identification (Q3151426) (← links)
- Comment on 'A quasi-ARMAX approach to the modelling of non-linear systems' by J. Hu et al. (Q3151505) (← links)
- Comment on 'Residual models and stochastic realization in state-space system identification' by R. Johansson et al. (Q3151665) (← links)
- (Q3325557) (← links)
- Identification and validation of the statistics of the initial states of linear dynamic systems based on cross-sectional data (Q3338079) (← links)
- Non-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models (Q3447009) (← links)
- Identification of state-dependent parameter models with support vector regression (Q3542905) (← links)
- Application of a least absolute shrinkage and selection operator to aeroelastic flight test data (Q3654565) (← links)
- On input-dependent system identification by Monte Carlo approach (Q3684016) (← links)
- Identification of continuous-time SISO systems via Markov parameter estimation (Q4038341) (← links)
- A bootstrap method for structure detection of NARMAX models (Q4474753) (← links)
- (Q4499529) (← links)
- Stochastic Parameter Estimation of Non-Linear Systems (Q4650494) (← links)
- State-dependent parameter models of non-linear sampled-data systems: a velocity-based linearization approach (Q4668244) (← links)
- Comments on `Identification of non-linear parametrically varying models using separable least squares’ by F. Previdi and M. Lovera: black-box or open box? (Q4682006) (← links)
- Efficient parameterisation of nonlinear system models: a comment on Nöel and Schoukens (2018) (Q5134305) (← links)
- Identification and control of electro-mechanical systems using state-dependent parameter estimation (Q5280276) (← links)
- New Approach to Noncausal Identification of Nonstationary Stochastic FIR Systems Subject to Both Smooth and Abrupt Parameter Changes (Q5353280) (← links)
- Hammerstein system identification through best linear approximation inversion and regularisation (Q5375894) (← links)
- Nonlinear system identification using two-dimensional wavelet-based state-dependent parameter models (Q5494681) (← links)
- Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables (Q6137801) (← links)