Adaptive Critic-Based Neural Networks for Agile Missile Control

Author

Dongchen Han
S. N. Balakrishnan, Missouri University of Science and TechnologyFollow

Abstract

Adaptive critic-based neural networks were discussed for agile missile control. The neural network solutions were obtained by using a pair of action and critic networks at each stage. The computational effort associated with the adaptive critic-based solutions is not prohibitive. It was observed that this computational technique is fairly general and applicable to a wide variety of problems.

Recommended Citation

D. Han and S. N. Balakrishnan, "Adaptive Critic-Based Neural Networks for Agile Missile Control," Journal of Guidance, Control, and Dynamics, American Institute of Aeronautics and Astronautics (AIAA), Jan 2002.

The definitive version is available at https://doi.org/10.2514/2.4895

Department(s)

Mechanical and Aerospace Engineering

International Standard Serial Number (ISSN)

0731-5090

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2002 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.

Publication Date

01 Jan 2002