DocumentCode :
706598
Title :
Regularisation of maximum principle and improvement methods in quadratic problems of optimal control
Author :
Srochko, V.A. ; Antonik, V.G. ; Dushutina, S.N.
Author_Institution :
Math. Fac., Irkutsk Univ., Irkutsk, Russia
fYear :
1999
fDate :
Aug. 31 1999-Sept. 3 1999
Firstpage :
1603
Lastpage :
1608
Abstract :
Quadratic, nonconvex problem with bounded control is considered. A procedure of phase regularisation along the fixed admissible pair (control, state) is applied with the goal of improvement of the maximum principle and corresponding methods in given problem. The first result is a new optimality condition which includes the maximum principle as a corolary. The second result is a new method of successive approximations which has more effective characteristics of improement and convergence than known ones.
Keywords :
concave programming; maximum principle; quadratic programming; maximum principle; nonconvex problem; optimal control; phase regularisation; quadratic problem; Convergence; Optimal control; Switches; Symmetric matrices; TV; Trajectory; Numerical methods; Optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
Type :
conf
Filename :
7099542
Link To Document :
بازگشت