Abstract
Trajectory optimization for cooperative air combat engagement is studied. The optimization problem of cooperative air combat is established based on the analysis of vertical tactical engagement, target functions and terminal constraints through three different tactical processions are proposed. The receding horizon control model and the numerical solution based on Simpson-direct-collocation are put forward. A BP neural network based approximation of the performance measures is proposed In order to improve the online performance. Finally, a simulation shows that this method is feasible in cooperative air combat engagement.
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Ruan, C., Yu, L., Zhou, Z., Xu, A. (2015). Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_45
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DOI: https://doi.org/10.1007/978-3-319-23862-3_45
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