Intelligent Speed and Attitude Tuning for Surface-to-Air Missiles Based on Neural Networks
Abstract
Intelligent Speed and Attitude Tuning for Surface-to-Air Missiles Based on Neural Networks Nguyen Van Nam1*, Nguyen Trung Hieu1 Abstract This paper presents an intelligent speed and attitude tuning method for surface-to-air missiles (SAMs based on artificial neural networks. The proposed neural network is designed to learn the nonlinear relationship between missile kinematic states, attitude dynamics, […]
Fields of Study & Subjects
Guidance and Control Systems
Aerospace Engineering and Applications
Neural Networks and Applications
Publication details
- Journal / source
- International Journal of Science Architecture Technology and Environment
- Publication date
- 13 January 2026