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Galerkin Approximation Of The Generalized Hamilton-Jacobi Equation

By Randy Beard, George Saridis and John Wen

Abstract

. If u is a stabilizing control for a nonlinear system that is affine in the control variable, then the solution to the Generalized Hamilton-Jacobi-Bellman (GHJB) equation associated with u is a Lyapunov function for the system and equals the cost associated with u. If an explicit solution to the GHJB equation can be found then it can be used to construct a feedback control law that improves the performance of u. Repeating this process leads to a successive approximation algorithm that uniformly approximates the Hamilton-Jacobi-Bellman equation. The difficulty is that it is very difficult to construct solutions to the GHJB equation such that the control derived from its solution is in feedback form. This paper shows that Galerkin's approximation method can be used to construct arbitrarily close approximations to the GHJB equation while generating stable feedback control laws. We state sufficient conditions for the convergence of Galerkin approximations to the GHJB equation. The suffic..

Topics: Suboptimal Feedback Control, Galerkin's Spectral Method, Generalized Hamilton-Jacobi-Bellman Equation
Year: 1996
OAI identifier: oai:CiteSeerX.psu:10.1.1.32.5961
Provided by: CiteSeerX
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