Pages that link to "Item:Q2576101"

The following pages link to Identification of Hammerstein nonlinear ARMAX systems (Q2576101):

Displaying 50 items.

• A new method for the identification of Hammerstein model (Q1376277) (← links)
• Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models (Q1637273) (← links)
• A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems (Q1659459) (← links)
• Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering (Q1660400) (← links)
• Consistency of the robust recursive Hammerstein model identification algorithm (Q1660440) (← links)
• Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle (Q1660514) (← links)
• Modeling and identification of discrete-time nonlinear dynamic cascade systems with input hysteresis (Q1665581) (← links)
• Data-based stochastic model reduction for the Kuramoto-Sivashinsky equation (Q1686773) (← links)
• A novel APSO-aided weighted LSSVM method for nonlinear Hammerstein system identification (Q1691186) (← links)
• Filtering based recursive least squares algorithm for multi-input multioutput Hammerstein models (Q1717904) (← links)
• Two identification methods for dual-rate sampled-data nonlinear output-error systems (Q1718153) (← links)
• Least-squares parameter estimation algorithm for a class of input nonlinear systems (Q1760800) (← links)
• Identification of Hammerstein nonlinear stochastic systems (Q1778645) (← links)
• Iterative identification algorithm for Wiener nonlinear systems using the Newton method (Q1788772) (← links)
• Extended stochastic gradient identification method for Hammerstein model based on approximate least absolute deviation (Q1793825) (← links)
• Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems (Q1930955) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← links)
• Improved discrete techniques of time-delay and order estimation for large-scale interconnected nonlinear systems (Q1992430) (← links)
• Hierarchical recursive least squares parameter estimation of non-uniformly sampled Hammerstein nonlinear systems based on Kalman filter (Q2012124) (← links)
• Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
• Identification for Hammerstein nonlinear systems based on universal spline fractional order LMS algorithm (Q2207073) (← links)
• Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique (Q2259602) (← links)
• A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models (Q2282370) (← links)
• Recursive maximum likelihood method for the identification of Hammerstein ARMAX system (Q2292362) (← links)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← links)
• Hierarchical recursive least squares algorithm for Hammerstein systems using the filtering method (Q2353884) (← links)
• Convergence analysis of the hierarchical least squares algorithm for bilinear-in-parameter systems (Q2362604) (← links)
• System identification application using Hammerstein model (Q2363757) (← links)
• Least-squares-based iterative identification algorithm for Wiener nonlinear systems (Q2375585) (← links)
• Convergence of HLS estimation algorithms for multivariable ARX-like systems (Q2383841) (← links)
• Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems (Q2389435) (← links)
• A general multirate approach for direct closed-loop identification to the Nyquist frequency and beyond (Q2409424) (← links)
• Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities (Q2428877) (← links)
• Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique (Q2429064) (← links)
• Gradient-based identification methods for Hammerstein nonlinear ARMAX models (Q2432376) (← 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)
• Newton iterative identification for a class of output nonlinear systems with moving average noises (Q2436948) (← links)
• Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle (Q2439375) (← links)
• Gradient-based parameter estimation for input nonlinear systems with ARMA noises based on the auxiliary model (Q2441975) (← links)
• Comments on ``Identification of Hammerstein nonlinear ARMAX systems'' (Q2467511) (← links)
• Author's reply to ``comments on `identification of Hammerstein nonlinear ARMAX systems'\,'' (Q2467512) (← links)
• Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle (Q2479168) (← links)
• Modelling of ultrasonic motor with dead-zone based on Hammerstein model structure (Q2480174) (← links)
• Convergence analysis of estimation algorithms for dual-rate stochastic systems (Q2493770) (← links)
• Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model (Q2517579) (← links)
• Adaptive control of stochastic Hammerstein–Wiener nonlinear systems with measurement noise (Q2795122) (← links)