DocumentCode :
646082
Title :
Contraction of Riccati flows applied to the convergence analysis of the max-plus curse of dimensionality free method
Author :
Zheng Qu
Author_Institution :
CMAP & INRIA, Ecole Polytech., Palaiseau, France
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
2226
Lastpage :
2231
Abstract :
Max-plus based methods have been recently explored for solution of first-order Hamilton-Jacobi-Bellman equations by several authors. In particular, McEneaney´s curse-of-dimensionality free method applies to the equations where the Hamiltonian takes the form of a (pointwise) maximum of linear/quadratic forms. In previous works of McEneaney and Kluberg, the approximation error of the method was shown to be O(1/(Nτ))+O(√τ) where τ is the time discretization step and N is the number of iterations. Here we use a recently established contraction result of the indefinite Riccati flow in Thompson´s metric to show that under different technical assumptions, still covering an important class of problems, the total error incorporating a pruning procedure of error order τ2 is O(e-αNτ)+O(τ) for some α > 0 related to the contraction rate of the indefinite Riccati flow.
Keywords :
Riccati equations; approximation theory; computational complexity; convergence; partial differential equations; McEneaney curse-of-dimensionality free method; Riccati flows; Thompson metric; approximation error; contraction rate; convergence analysis; error order; first-order Hamilton-Jacobi-Bellman equations; indefinite Riccati flow; linear forms; max-plus based methods; max-plus curse; pruning procedure; quadratic forms; time discretization; Approximation error; Computational efficiency; Measurement; Optimal control; Riccati equations; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669487
Link To Document :
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