DocumentCode :
3533196
Title :
Neural regulator design for parabolic distributed parameter systems with constraints in control
Author :
Petrov, Peter ; Toshkova, Daniela ; Filchev, Todor
Author_Institution :
Production Autom., Tech. Univ. of Varna, Varna, Bulgaria
fYear :
2010
fDate :
7-9 July 2010
Firstpage :
242
Lastpage :
247
Abstract :
In the present paper the problem of optimal control synthesis for a class of parabolic distributed parameter systems with constraints in control is considered. The problem is solved by using Pontryagin´s maximum principle and the control is generated by a neural network.
Keywords :
constraint theory; control system synthesis; distributed parameter systems; maximum principle; neurocontrollers; Pontryagin maximum principle; control constraints; neural network; neural regulator design; optimal control synthesis; parabolic distributed parameter systems; Automatic control; Control system synthesis; Control systems; Distributed parameter systems; Equations; Network synthesis; Neural networks; Nonlinear control systems; Optimal control; Regulators; control constraints; distributed parameter systems; neural controllers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (IS), 2010 5th IEEE International Conference
Conference_Location :
London
Print_ISBN :
978-1-4244-5163-0
Electronic_ISBN :
978-1-4244-5164-7
Type :
conf
DOI :
10.1109/IS.2010.5548393
Filename :
5548393
Link To Document :
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