Pages that link to "Item:Q346039"

The following pages link to Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling (Q346039):

Displaying 50 items.

• Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models (Q253892) (← links)
• A proportional differential control method for a time-delay system using the Taylor expansion approximation (Q273325) (← links)
• The reflexive least squares solutions of the general coupled matrix equations with a submatrix constraint (Q275767) (← links)
• A novel parameter separation based identification algorithm for Hammerstein systems (Q289245) (← links)
• Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle (Q297904) (← links)
• Data filtering-based multi-innovation stochastic gradient algorithm for nonlinear output error autoregressive systems (Q308042) (← links)
• Combined parameter and state estimation algorithms for multivariable nonlinear systems using MIMO Wiener models (Q328339) (← links)
• Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systems (Q330947) (← links)
• Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle (Q341679) (← links)
• On the Kronecker products and their applications (Q364322) (← links)
• Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle (Q398298) (← links)
• A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations (Q398374) (← links)
• Recursive least-squares estimation for Hammerstein nonlinear systems with nonuniform sampling (Q460322) (← links)
• A gradient based iterative solutions for Sylvester tensor equations (Q474659) (← links)
• Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique (Q494751) (← links)
• Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique (Q494773) (← links)
• Multi-objective linear-programming-based four-judgment algorithm for linear bounded noise system modeling (Q776137) (← links)
• Orthotopic-filtering-based fault diagnosis algorithms for nonlinear systems with slowly varying faults (Q776146) (← links)
• Parameter identification of ARX models based on modified momentum gradient descent algorithm (Q781781) (← links)
• A modified multi-innovation algorithm to turntable servo system identification (Q831580) (← links)
• Computation of matrix exponentials of special matrices (Q907552) (← links)
• Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models (Q1637273) (← links)
• A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation (Q1643235) (← links)
• Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash (Q1648033) (← links)
• Auxiliary model based multi-innovation stochastic gradient identification algorithm for periodically non-uniformly sampled-data Hammerstein systems (Q1657036) (← links)
• A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems (Q1659459) (← links)
• Decomposition based least squares iterative estimation algorithm for two-input single-output output error systems (Q1660383) (← links)
• Consistency of the robust recursive Hammerstein model identification algorithm (Q1660440) (← links)
• Improved least squares identification algorithm for multivariable Hammerstein systems (Q1660753) (← links)
• The relaxed gradient-based iterative algorithms for a class of generalized coupled Sylvester-conjugate matrix equations (Q1661797) (← links)
• Least squares based and two-stage least squares based iterative estimation algorithms for H-FIR-MA systems (Q1665895) (← links)
• On an identification problem on the determination of the parameters of the dynamic system (Q1666022) (← links)
• New proof of the gradient-based iterative algorithm for the Sylvester conjugate matrix equation (Q1672694) (← links)
• Parameter estimation-based coupling control for generalized cascade systems with guaranteed cost (Q1691166) (← links)
• Two identification methods for dual-rate sampled-data nonlinear output-error systems (Q1718153) (← links)
• Iterative solutions of a set of matrix equations by using the hierarchical identification principle (Q1724671) (← links)
• Gradient-based iterative algorithms for generalized coupled Sylvester-conjugate matrix equations (Q1732490) (← links)
• Least-squares parameter estimation algorithm for a class of input nonlinear systems (Q1760800) (← links)
• Iterative identification algorithm for Wiener nonlinear systems using the Newton method (Q1788772) (← links)
• Three-stage recursive least squares parameter estimation for controlled autoregressive autoregressive systems (Q1789049) (← links)
• Gradient based iterative parameter identification for Wiener nonlinear systems (Q1789549) (← links)
• Multi-innovation stochastic gradient identification algorithm for Hammerstein controlled autoregressive autoregressive systems based on the key term separation principle and on the model decomposition (Q1790024) (← links)
• Recursive computational formulas of the least squares criterion functions for scalar system identification (Q1991294) (← links)
• Combined state and least squares parameter estimation algorithms for dynamic systems (Q1991337) (← links)
• Identification of continuous-time systems with multiple unknown time delays using an output error method from sampled data (Q2003276) (← links)
• Global dynamic optimization with Hammerstein-Wiener models embedded (Q2079688) (← links)
• Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (Q2087500) (← links)
• On the relaxed gradient-based iterative methods for the generalized coupled Sylvester-transpose matrix equations (Q2109172) (← links)
• Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory (Q2125313) (← links)
• Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems (Q2181393) (← links)