Title :
Training neuroemulators using Multicriteria Extended Kalman Filter and pseudoregularization for Model Reference Adaptive Neurocontrol
Author_Institution :
Neurotechnologies Dept., Inst. of Math. Machines & Syst. Problems NASU, Kiev, Ukraine
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;
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4673-2016-0
DOI :
10.1109/ICUMT.2012.6459698
