DocumentCode
592423
Title
A max-plus method for optimal control of a diffusion equation
Author
Dower, Peter M. ; McEneaney, William M.
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
618
Lastpage
623
Abstract
Recent work concerning the fundamental solution semigroup for a class of infinite dimensional Riccati equations is extended to include a diffusion term. By exploiting max-plus linearity and semiconvexity of the value function of the associated optimal control problem in this new case, the fundamental solution semigroup is constructed in a dual space via the Legendre-Fenchel transform. In particular, it is shown that the semigroup property in the dual space follows from a corresponding property arising from dynamic programming in the primal space. This fundamental solution semigroup is shown to take the form of a max-plus integral operator with an explicit quadratic functional kernel defined with respect to three time-indexed integral operators. Using this fundamental solution semigroup, a recipe for the evolution of general solutions of the infinite dimensional Riccati equation is proposed.
Keywords
Riccati equations; convex programming; diffusion; dynamic programming; multidimensional systems; optimal control; transforms; Legendre-Fenchel transform; diffusion equation; diffusion term; dynamic programming; fundamental solution semigroup; infinite dimensional Riccati equations; max-plus integral operator; max-plus method; optimal control; primal space; quadratic functional kernel; semigroup property; three time-indexed integral operators; value function max-plus linearity; value function semiconvexity; Aerospace electronics; Integral equations; Kernel; Optimal control; Positron emission tomography; Riccati equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426595
Filename
6426595
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