Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach-Reference-Cited by-同舟云学术

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Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

Published:2005-05 Issue:5 Volume:41 Page:779-791
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Abu-Khalaf Murad,Lewis Frank L.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference42 articles.

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2. Mathematical analysis;Apostol,1974

3. Optimal control and viscosity solutions of Hamilton–Jacobi–Bellman equations;Bardi,1997

4. Beard, R. (1995). Improving the closed-loop performance of nonlinear systems. Ph.D. Thesis, Rensselaer Polytechnic Institute, Troy, NY.

5. Galerkin approximations of the generalized Hamilton–Jacobi–Bellman equation;Beard;Automatica,1997

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