Pages that link to "Item:Q1789549"

The following pages link to Gradient based iterative parameter identification for Wiener nonlinear systems (Q1789549):

Displaying 24 items.

• Iterative parameter identification methods for nonlinear functions (Q450140) (← links)
• Least squares based and gradient based iterative identification for Wiener nonlinear systems (Q548893) (← links)
• Gradient-based parameter identification algorithms for observer canonical state space systems using state estimates (Q736869) (← links)
• EM algorithm-based identification of a class of nonlinear Wiener systems with missing output data (Q748024) (← links)
• Particle swarm optimization iterative identification algorithm and gradient iterative identification algorithm for Wiener systems with colored noise (Q1654314) (← links)
• Recursive least squares identification of hybrid Box-Jenkins model structure in open-loop and closed-loop (Q1660885) (← links)
• Robust identification of Wiener time-delay system with expectation-maximization algorithm (Q1661243) (← links)
• Gradient-based iterative identification for Wiener nonlinear dynamic systems with moving average noises (Q1736704) (← links)
• Iterative identification algorithm for Wiener nonlinear systems using the Newton method (Q1788772) (← links)
• An iterative numerical algorithm for modeling a class of Wiener nonlinear systems (Q1940691) (← links)
• Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
• Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs (Q2188277) (← links)
• Parameter estimation of Wiener systems based on the particle swarm iteration and gradient search principle (Q2193618) (← links)
• Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems (Q2259606) (← links)
• Identification of nonlinear cascade systems with output hysteresis based on the key term separation principle (Q2282652) (← links)
• Identification of distributed-parameter systems from sparse measurements (Q2294789) (← links)
• Two-stage instrumental variables identification of polynomial Wiener systems with invertible nonlinearities (Q2299163) (← links)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← 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)
• Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling (Q2517569) (← links)
• Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems (Q2734343) (← links)
• Gradient-based iterative identification for nonuniform sampling output error systems (Q2846259) (← links)
• Multistage for identification of Wiener time delay systems based on hierarchical gradient approach (Q5035719) (← links)