Name
Title | ||
|---|---|---|
A real-time dynamic optimal guidance scheme using a general regression neural network |
Abstract | ||
|---|---|---|
This paper presents an investigation into the challenges in implementing a hard real-time optimal non-stationary system using general regression neural network (GRNN). This includes investigation into the dynamics of the problem domain, discretisation of the problem domain to reduce the computational complexity, parameters selection of the optimization algorithm, convergence guarantee for real-time solution and off-line optimization for real-time solution. In order to demonstrate these challenges, this investigation considers a real-time optimal missile guidance algorithm using GRNN to achieve an accurate interception of the maneuvering targets in three-dimension. Evolutionary Genetic Algorithms (GAs) are used to generate optimal guidance training data set for a large missile defense space to train the GRNN. The Navigation Constant of the Proportional Navigation Guidance and the target position at launching are considered for optimization using GAs. This is achieved by minimizing the miss distance and missile flight time. Finally, the merits of the proposed schemes for real-time accurate interception are presented and discussed through a set of experiments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.engappai.2012.10.007 | Eng. Appl. of AI |
Keywords | Field | DocType |
large missile defense space,real-time solution,general regression neural network,optimization algorithm,real-time accurate interception,off-line optimization,real-time dynamic optimal guidance,missile flight time,hard real-time optimal non-stationary,optimal guidance training data,real-time optimal missile guidance,problem domain,computational complexity,genetic algorithm | Convergence (routing),Mathematical optimization,Proportional navigation,Missile defense,Problem domain,Computer science,Missile,Artificial intelligence,Missile guidance,Machine learning,Genetic algorithm,Computational complexity theory | Journal |
Volume | Issue | ISSN |
26 | 4 | 0952-1976 |
Citations | PageRank | References |
3 | 0.43 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. A. Hossain | 1 | 10 | 0.94 |
| A. A. M. Madkour | 2 | 3 | 0.43 |
| K. P. Dahal | 3 | 27 | 5.78 |
| Li Zhang | 4 | 316 | 21.50 |