RBFNN-based Minimum Entropy Filtering for a Class of Stochastic Nonlinear Systems

RBFNN-based Minimum Entropy Filtering for a Class of Stochastic Nonlinear Systems

Yes === This paper presents a novel minimum entropy filter design for a class of stochastic nonlinear systems which are subjected to non-Gaussian noises. Motivated by stochastic distribution control, an output entropy model is developed using RBF neural network while the parameters of the model can...

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Bibliographic Details
Main Authors: Yin, X., Zhang, Qichun, Wang, H., Ding, Z.
Language:en
Published: 2019
Subjects:
Minimum entropy filtering
Stochastic nonlinear systems
Non-Gaussian distribution
Mathematical modelling
Neural networks
Online Access:http://hdl.handle.net/10454/17339

Internet

http://hdl.handle.net/10454/17339

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