Pages that link to "Item:Q2003303"

The following pages link to Recursive and iterative least squares parameter estimation algorithms for multiple-input-output-error systems with autoregressive noise (Q2003303):

Displaying 29 items.

• Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model (Q419419) (← links)
• A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation (Q1643235) (← links)
• Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise (Q1648051) (← links)
• Particle swarm optimization iterative identification algorithm and gradient iterative identification algorithm for Wiener systems with colored noise (Q1654314) (← links)
• Adaptive gradient-based iterative algorithm for multivariable controlled autoregressive moving average systems using the data filtering technique (Q1654319) (← links)
• The hierarchical iterative identification algorithm for multi-input-output-error systems with autoregressive noise (Q1687433) (← links)
• State space model identification of multirate processes with time-delay using the expectation maximization (Q1717533) (← links)
• Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique (Q1717535) (← links)
• Hierarchical Newton iterative parameter estimation of a class of input nonlinear systems based on the key term separation principle (Q1723012) (← links)
• Data filtering based recursive and iterative least squares algorithms for parameter estimation of multi-input output systems (Q1736818) (← links)
• Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems (Q1797200) (← links)
• Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique (Q1797205) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← links)
• Auxiliary model based recursive and iterative least squares algorithm for autoregressive output error autoregressive systems (Q2285824) (← links)
• A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering (Q2412488) (← links)
• Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises (Q2423917) (← links)
• Particle filtering based parameter estimation for systems with output-error type model structures (Q2423919) (← links)
• Two-stage least squares recursive identification for generalized output error models (Q2927337) (← links)
• Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses (Q5025821) (← links)
• Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique (Q5025908) (← links)
• Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter (Q5026890) (← links)
• Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise (Q5027843) (← links)
• The innovation algorithms for multivariable state‐space models (Q5128848) (← links)
• On some parameter estimation algorithms for the nonlinear exponential autoregressive model (Q5240985) (← links)
• The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle (Q5241002) (← links)
• Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window (Q6042570) (← links)
• The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
• Distributed learning-based visual coverage control of multiple mobile aerial agents (Q6494989) (← links)
• Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output-error systems (Q6495162) (← links)