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
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