Pages that link to "Item:Q1736704"

The following pages link to Gradient-based iterative identification for Wiener nonlinear dynamic systems with moving average noises (Q1736704):

Displaying 19 items.

• A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems (Q297706) (← links)
• Least squares based and gradient based iterative identification for Wiener nonlinear systems (Q548893) (← links)
• Particle swarm optimization iterative identification algorithm and gradient iterative identification algorithm for Wiener systems with colored noise (Q1654314) (← links)
• Data filtering based recursive and iterative least squares algorithms for parameter estimation of multi-input output systems (Q1736818) (← links)
• Gradient based iterative parameter identification for Wiener nonlinear systems (Q1789549) (← links)
• Hierarchical recursive least squares parameter estimation of non-uniformly sampled Hammerstein nonlinear systems based on Kalman filter (Q2012124) (← links)
• Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances (Q2181451) (← links)
• Parameter estimation of Wiener systems based on the particle swarm iteration and gradient search principle (Q2193618) (← 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)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← links)
• Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique (Q2346248) (← links)
• Stochastic gradient with changing forgetting factor-based parameter identification for Wiener systems (Q2349241) (← links)
• Least-squares-based iterative identification algorithm for Wiener nonlinear systems (Q2375585) (← links)
• Newton iterative identification for a class of output nonlinear systems with moving average noises (Q2436948) (← links)
• Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling (Q2517569) (← links)
• Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements (Q2732802) (← links)
• Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems (Q2734343) (← links)
• (Q3131261) (← links)
• The modified extended Kalman filter based recursive estimation for Wiener nonlinear systems with process noise and measurement noise (Q6073603) (← links)