Dynamic performance enhancement for nonlinear stochastic systems using RBF driven nonlinear compensation with extended Kalman filter-Reference-Cited by-同舟云学术

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Dynamic performance enhancement for nonlinear stochastic systems using RBF driven nonlinear compensation with extended Kalman filter

Published:2020-02 Issue: Volume:112 Page:108693
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Zhou Yuyang,Wang Aiping,Zhou Ping,Wang Hong,Chai Tianyou

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference32 articles.

1. Recent results on stochastic hybrid dynamical systems;Alwan;Journal of Control and Decision,2016

2. Dual rate adaptive control for an industrial heat supply process using signal compensation approach;Chai;IFAC-PapersOnLine,2017

3. Data-based virtual unmodeled dynamics driven multivariable nonlinear adaptive switching control;Chai;IEEE Transactions on Neural Networks,2011

4. Polynomial approach to non-linear predictive generalised minimum variance control;Grimble;IET Control Theory & Applications,2010

5. RBF-based mesh morphing approach to perform icing simulations in the aviation sector;Groth;Aircraft Engineering and Aerospace Technology,2019

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