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...
| Main Authors: | , , , |
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| Language: | en |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10454/17339 |