Pages that link to "Item:Q437988"

The following pages link to Maximum likelihood least squares identification for systems with autoregressive moving average noise (Q437988):

Displaying 50 items.

• Maximum likelihood least squares identification method for active noise control systems with autoregressive moving average noise (Q286225) (← links)
• Auxiliary model based least squares identification method for a state space model with a unit time-delay (Q345433) (← links)
• Convergence properties of the least squares estimation algorithm for multivariable systems (Q345827) (← 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)
• Several gradient parameter estimation algorithms for dual-rate sampled systems (Q398410) (← links)
• Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model (Q426616) (← links)
• Iterative parameter identification methods for nonlinear functions (Q450140) (← links)
• Two-stage least squares based iterative identification algorithm for controlled autoregressive moving average (CARMA) systems (Q453817) (← 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)
• Study on network traffic forecast model of SVR optimized by GAFSA (Q528374) (← links)
• Parameter and state estimation algorithm for single-input single-output linear systems using the canonical state space models (Q693455) (← links)
• An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition (Q714591) (← links)
• Computation of matrix exponentials of special matrices (Q907552) (← links)
• Maximum likelihood estimators and worst case optimal algorithms for system identification (Q1105558) (← links)
• Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique (Q1660826) (← links)
• The relaxed gradient-based iterative algorithms for a class of generalized coupled Sylvester-conjugate matrix equations (Q1661797) (← links)
• Two-stage least squares based iterative estimation algorithm for CARARMA system modeling (Q1667765) (← links)
• New proof of the gradient-based iterative algorithm for the Sylvester conjugate matrix equation (Q1672694) (← links)
• Gradient-based iterative algorithms for generalized coupled Sylvester-conjugate matrix equations (Q1732490) (← 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)
• Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems (Q1930955) (← 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)
• The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise (Q2011872) (← links)
• Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
• Maximum likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution (Q2059327) (← links)
• On RGI algorithms for solving Sylvester tensor equations (Q2154934) (← links)
• A tensor format for the generalized Hessenberg method for solving Sylvester tensor equations (Q2175830) (← links)
• Max-plus linear inverse problems: 2-norm regression and system identification of max-plus linear dynamical systems with Gaussian noise (Q2272477) (← links)
• A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models (Q2282370) (← links)
• Identification of nonlinear cascade systems with output hysteresis based on the key term separation principle (Q2282652) (← links)
• A receding horizon \(D\)-optimization approach for model identification-oriented input design and application in combustion engines (Q2284525) (← links)
• Auxiliary model based recursive and iterative least squares algorithm for autoregressive output error autoregressive systems (Q2285824) (← links)
• Recursive maximum likelihood method for the identification of Hammerstein ARMAX system (Q2292362) (← links)
• A least squares identification algorithm for a state space model with multi-state delays (Q2339028) (← links)
• Signal modeling using the gradient search (Q2339039) (← links)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← links)
• Least-squares-based iterative identification algorithm for Wiener nonlinear systems (Q2375585) (← links)
• Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique (Q2429064) (← links)
• A novel APSO-aided maximum likelihood identification method for Hammerstein systems (Q2435639) (← links)
• Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle (Q2435648) (← links)
• Filtering based recursive least squares algorithm for Hammerstein FIR-MA systems (Q2435673) (← links)
• Least squares algorithm for an input nonlinear system with a dynamic subspace state space model (Q2436150) (← links)
• Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems (Q2436166) (← links)
• Parameter estimation for a multivariable state space system with \(d\)-step state-delay (Q2436802) (← links)
• Newton iterative identification for a class of output nonlinear systems with moving average noises (Q2436948) (← links)