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نمایش تعداد 1-10 از 112

State filtering and parameter estimation for state space systems with scarce measurements

نوع: Journal Paper

نویسنده : Feng Ding

سال: 2014

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Coupled-least-squares identification for multivariable systems

نوع: Journal Paper

نویسنده : Feng Ding

سال: 2013

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The importance of supersaturated carbon concentration and its distribution in catalytic particles for single-walled carbon nanotube nucleation

نوع: Journal Paper

نویسنده : Feng Ding; Kim Bolton

سال: 2006

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Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

نوع: Journal Paper

نویسنده : Yanjiao Wang; Feng Ding

سال: 2015

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Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling

نوع: Journal Paper

نویسنده : Ling Xu; Feng Ding

سال: 2016

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Filtering-based iterative identification for multivariable systems

نوع: Journal Paper

نویسنده : Yanjiao Wang; Feng Ding

سال: 2016

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Least-squares parameter estimation for systems with irregularly missing data

نوع: Journal Paper

نویسنده : Feng Ding; Jie Ding

سال: 2010

Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise

نوع: Journal Paper

نویسنده : Wang, Yanjiao, and Feng Ding.

ناشر: Springer Nature

سال: 2015

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The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model

نوع: Journal Paper

نویسنده : Liu, Qinyao, and Feng Ding.

ناشر: Springer Nature

سال: 2017

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Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle

نوع: Journal Paper

نویسنده : Xuehai Wang; Feng Ding

سال: 2015

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State filtering and parameter estimation for state space systems with scarce measurements

Coupled-least-squares identification for multivariable systems

The importance of supersaturated carbon concentration and its distribution in catalytic particles for single-walled carbon nanotube nucleation

Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling

Filtering-based iterative identification for multivariable systems

Least-squares parameter estimation for systems with irregularly missing data

Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise

The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model

Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle

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State filtering and parameter estimation for state space systems with scarce measurements

Coupled-least-squares identification for multivariable systems

The importance of supersaturated carbon concentration and its distribution in catalytic particles for single-walled carbon nanotube nucleation

Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling

Filtering-based iterative identification for multivariable systems

Least-squares parameter estimation for systems with irregularly missing data

Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise

The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model

Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle