An improved iterative computational approach to the solution of the Hamilton–Jacobi equation in optimal control problems of affine nonlinear systems with application-Reference-Cited by-同舟云学术

An improved iterative computational approach to the solution of the Hamilton–Jacobi equation in optimal control problems of affine nonlinear systems with application

Published:2020-07-29 Issue:14 Volume:51 Page:2625-2634
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Aliyu M. D. S.¹

Affiliation:

1. Department of Electrical Engineering, King Faisal University, Al-Ahsa, Saudi Arabia

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2020.1799109

Reference35 articles.

1. Policy Iterations on the Hamilton–Jacobi–Isaacs Equation for $H_{\infty}$ State Feedback Control With Input Saturation

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

3. Achdou, Y., Barles, G., Ishii, H. & Litvinov, G. (2014). Lecture notes in maths. Vol. 2074: Hamilton-Jacobi equations: Approximations, numerical analysis and applications. Springer Verlag.

4. Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof

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