Solving Hamilton-Jacobi-Bellman equations by a modified method of characteristics
Nonlinear Analysis: Theory, Methods & Applications - Lakshmikantham's Legacy: A tribute on his 75th birthday
On application of an alternating direction method to Hamilton-Jacobin-Bellman equations
Journal of Computational and Applied Mathematics - Special issue: Proceedings of the international conference on boundary and interior layers - computational and asymptotic methods (BAIL 2002)
Automatica (Journal of IFAC)
An adaptive least-squares collocation radial basis function method for the HJB equation
Journal of Global Optimization
An adaptive domain decomposition method for the Hamilton---Jacobi---Bellman equation
Journal of Global Optimization
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In this paper we propose a semi-meshless discretization method for the approximation of viscosity solutions to a first order Hamilton-Jacobi-Bellman (HJB) equation governing a class of nonlinear optimal feedback control problems. In this method, the spatial discretization is based on a collocation scheme using the global radial basis functions (RBFs) and the time variable is discretized by a standard two-level time-stepping scheme with a splitting parameter @q. A stability analysis is performed, showing that even for the explicit scheme that @q=0, the method is stable in time. Since the time discretization is consistent, the method is also convergent in time. Numerical results, performed to verify the usefulness of the method, demonstrate that the method gives accurate approximations to both of the control and state variables.