DocumentCode
3306208
Title
Training neuroemulators using Multicriteria Extended Kalman Filter and pseudoregularization for Model Reference Adaptive Neurocontrol
Author
Chernodub, A.N.
Author_Institution
Neurotechnologies Dept., Inst. of Math. Machines & Syst. Problems NASU, Kiev, Ukraine
fYear
2012
fDate
3-5 Oct. 2012
Firstpage
391
Lastpage
396
Abstract
Problems of identification and control of nonlinear dynamic plants using Model Reference Adaptive Neurocontrol are considered. Pseudoregularization problem for effective training of neuroemulators is stated, Multicriteria Extended Kalman Filter method for solving this problem is proposed. Results of numerical experiments of training neuroemulators and neurocontrollers are presented.
Keywords
Kalman filters; model reference adaptive control systems; neurocontrollers; nonlinear dynamical systems; model reference adaptive neurocontrol; multicriteria extended Kalman filter; neuroemulator training; nonlinear dynamic plants; pseudoregularization problem; Atmospheric modeling; Jacobian matrices; Model Reference Adaptive Neurocontrol; Multicriteria Extended Kalman Filter; adaptive control; neural networks; neurocontrol;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on
Conference_Location
St. Petersburg
ISSN
2157-0221
Print_ISBN
978-1-4673-2016-0
Type
conf
DOI
10.1109/ICUMT.2012.6459698
Filename
6459698
Link To Document