Composite control of RBF neural network and PD for nonlinear dynamic plants using U-model
Author:
Affiliation:
1. Department of Computer and Control Engineering, Qiqihar University, Heilongjiang, Qiqihar, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference21 articles.
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4. Hasan E. , lbrahim R.B. , Ali S.S.A. , Miya H.S. and Gilani S.F. , U-model based online identification of air flow plant, Robotics and Manufacturing Automation (ROMA), 2016 2nd IEEE International Symposium on IEEE, 2016.
5. Hussain N.A.A. , Ali S.S.A. , Saad M.N.M. , Ali S.S.A. , Saad M.N.M. and Nordin N. , Underactuated nonlinear adaptive control approach using U-model for multivariable underwater glider control parameters, Underwater System Technology: Theory and Applications (USYS), IEEE International Conference on IEEE, 2016.
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1. Design of extended Kalman filtering neural network control system based on particle swarm identification of nonlinear U-model;Automatika;2022-03-18
2. Active Vibration Control of PID Based on Receptance Method;Journal of Sensors;2020-08-14
3. Research on parallel nonlinear control system of PD and RBF neural network based on U model;Automatika;2020-03-04
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