To improve the effectiveness of air combat decision-making systems, target intention has been extensively studied. In general, aerial is composed attack, surveillance, penetration, feint, defense, reconnaissance, cover and electronic interference it related to state a in combat. Predicting helpful know actions advance. Thus, prediction contributed lay solid foundation for decision-making. this work, an method developed, which combines advantages long short-term memory (LSTM) networks...

In order to improve detection system robustness and reliability, multi-sensors fusion is used in modern air combat. this paper, a data method based on reinforcement learning developed for multi-sensors. Initially, the cubic B-spline interpolation solve time alignment problems of multi-source data. Then, ( RLBDF ) proposed obtain results. With case that priori knowledge target obtained, accuracy realized by error between fused value actual value. Furthermore, Fisher information instead as...

This paper investigates the path planning method of unmanned aerial vehicle (UAV) in three-dimensional map. Firstly, order to keep a safe distance between UAV and obstacles, obstacle grid map is expanded. By using data structure octree, octree constructed, search nodes significantly reduced. Then, lazy theta∗ algorithm, including neighbor node search, line-of-sight algorithm heuristics weight adjustment improved. In process constraint conditions are considered ensure planned actually...

Abstract In this article, a finite‐horizon optimal trajectory control strategy is developed for near space hypersonic vehicle (NSHV) longitudinal model with multi‐constraints including external disturbance, system modeling error, and input saturation. The whole process has two parts: inner‐loop attitude outer‐loop control. First, the feedback linearization method applied to design tracking controller system, reference signals can be obtained using Newton iteration method. Second,...

Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission system. The performance automatic planner determines quality flight path. Aiming to produce a high-quality path, system designed based on human-computer hybrid augmented intelligence framework for in this paper. Firstly, improved artificial bee colony (I-ABC) algorithm proposed dynamic evaluation selection strategy and complex optimization method. In I-ABC algorithm, following way...

With the increasing complexity of air combat environment, optimal flights path is no longer only requirement for planning system an unmanned autonomous helicopter (UAH). To enable UAH to efficiently handle problems in complex environments, a method proposed based on satisficing decision-enhanced hybrid swarm intelligence this article. First, modeled as multiobjective optimization problem. Besides traditional flight cost planning, performance and safety constraints are both considered article...

To improve the accuracy of data fusion system in modern air combat, an improved method based on reinforcement learning technique is developed this paper. Firstly, cubic spline interpolation used for time alignment multi-source data. Then, a proposed. The realized by error between observations and actual value. With example, simulation results indicate that effective feasible multi-sensor fusion.

To meet the aiming attack requirement in high maneuvering flight of armed helicopters, a weapon launch decision-making scheme for helicopters is proposed this paper based on an improved roulette wheel selection whale optimization algorithm (RWS-WOA). The to obtain best envelope and point guide trajectory. Based integrated fire/flight control system air-ground combat situation assessment, priority function established. prior range Then, according quickness accuracy, RWS-WOA introduced, which...

The noise generated by aerial vehicles during the departure and landing procedures is one of major concerns for communities living in vicinity airports. In order to mitigate such negative impacts, this paper, we consider optimize arrival routes multiple unmanned (UAVs) simultaneously, so that minimum level will be procedure. As a prerequisite our UAV route planning framework, evaluation model first introduced each possible path UAVs. A mixed-integer linear program (MILP) then formulated...

<title>Abstract</title> Unmanned Aerial Vehicles (UAVs) have shown their superiority for applications in complicated military missions. A cooperative attack-defense decision-making method based on satisficing decision-enhanced wolf pack search (SDEWPS) algorithm is developed multi-UAV air combat this paper. Firstly, the mathematical model provided and constraints are defined. Besides traditional situation, capability of UAVs target information including type intention all considered paper to...