DocumentCode :
184671
Title :
Optimal control of level sets dynamics
Author :
Alessandri, A. ; Bagnerini, Patrizia ; Gaggero, Mauro
Author_Institution :
Dept. of Mech. Eng., Univ. of Genoa, Genoa, Italy
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
2208
Lastpage :
2213
Abstract :
The problem of optimal tracking of level sets is investigated. More specifically, we propose a novel method to design a controller that is able to track a reference curve generated by a level set equation. Such a functional optimal control problem is nonstandard as it involves a moving domain over time, thus requiring the development of both an ad-hoc approximation scheme and an efficient numerical solver. We address the approximate solution of the resulting optimization problem by using the extended Ritz method, which has been recently applied to the solution of a number of optimal control problems in high dimensional setting. Such a method relies on the use a control law of fixed structure that depends on a number of parameters to be suitably chosen. Toward this end, we derive the adjoint equation for the optimal tracking problem. Such an equation allows one to compute the gradient of the cost function with respect to the vector of parameters of the control law. Numerical results are reported to show the effectiveness and computational effort of the proposed approach for the purpose of tracking curves generated by the normal and mean curvature flow equations.
Keywords :
approximation theory; control system synthesis; optimal control; optimisation; set theory; ad-hoc approximation scheme; control law; controller design; cost function; curvature flow equations; extended Ritz method; functional optimal control problem; level set equation; level sets dynamics; numerical solver; optimization problem; Approximation methods; Equations; Level set; Mathematical model; Optimization; Simulation; Vectors; Distributed parameter systems; Neural networks; Numerical algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6859223
Filename :
6859223
Link To Document :
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