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Target Tracking Method Based on LSTM-EKF 1

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Xu, Hongfeng Zhao, Jiajia Zhang, Hang Jiang, Jixiang Chen, Linxiu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733323

ISBN: (纸本)9789819733316

With the development of science and technology, target tracking technology has been widely used in many fields. Through target tracking technology, the accurate estimation of target state can be obtained, and the perception ability can be effectively improved. However, due to the increasing maneuvering ability of the target, the traditional target tracking algorithm is more and more difficult to meet the requirements of maneuvering target tracking. This article in view of the traditional filtering algorithm based on bayesian theory problems of nonlinear error model, in combination with the advantages of EKF and deep learning, introducing the idea of hybrid data model, puts forward the algorithm of target tracking based on LSTM - EKF, and design a mathematical simulation experiment on the performance of the algorithm is verified. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Target tracking

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A Review of Target Association Methods 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Xu, Hongfeng Zhao, Jiajia Zhang, Hang Jiang, Jixiang Chen, Linxiu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733361

ISBN: (纸本)9789819733354

With the continuous development of information technology, target association technology has been more and more widely used in military and civilian fields. How to achieve effective and reliable target data association has always been a difficult and hot spot in the field of target tracking. In this paper, the research status of target association technology is summarized, the existing target association algorithm is sorted and summarized according to the method principle, and the existing problems in the research of target association technology are analyzed, and the further research direction is prospected. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Target tracking

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Review of Numerical Algorithms for Aircraft Trajectory Optimization 3rd

Review of Numerical Algorithms for Aircraft Trajectory Optim...

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Jiang, Yunfei Liu, Jin Li, Fengyi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819711062

Flight trajectory optimization is a crucial aspect of aircraft design, and the numerical algorithms for trajectory optimization have always been a hot and challenging topic in domestic and international research. Starting from the classical classification of trajectory optimization methods and combining with recent advancements in the field of trajectory optimization, this paper provides an overview of various numerical algorithms for flight trajectory optimization, including their principles and applications. Furthermore, the characteristics of different methods and their suitability for solving specific problems are analyzed, offering valuable insights for the practical application of optimization methods. Finally, a brief analysis of the development of trajectory optimization is presented, along with a prospective outlook on the future direction of flight trajectory optimization algorithms. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Numerical methods

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Application of Generative Artificial Intelligence GPT in Unmanned Aircraft systems 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Liu, Xinyu Hao, Mingrui Fan, Yu Li, Fengyi Zhen, Yan Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733361

ISBN: (纸本)9789819733354

This article focuses on the application of generative artificial intelligence technology in unmanned aircraft systems. In detail, it elaborates on the application scenarios of GPT in aircraft design, development and production, aircraft intelligent situational awareness, and aircraft autonomous decision-making. Then article points out the basic conditions for deploying generative artificial intelligence technology in unmanned aircrafts, such as software and hardware requirements, and large-scale databases. At the same time, this article summarizes several inspirations of the intelligent development of unmanned aircrafts and puts forward some prospects for combining generative artificial intelligence technology with aircrafts. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Decision making

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Interval analysis for neural networks with application to fault detection

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science China(Information sciences) 2024年第11期67卷 222-237页

作者： Zhenhua WANG Youdao MA Song ZHU Thach Ngoc DINH Yi SHEN Department of Control Science and Engineering Harbin Institute of Technology National Key Laboratory of Complex System Control and Intelligent Agent Cooperation School of Mathematics China University of Mining and Technology The CEDRIC-Lab Conservatoire National des Arts et Métiers (CNAM)

This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, which can compute the bounds of the output of a feedforward neural network subject to a bounded input. By applying the proposed interval analysis method to a network trained with fault-free system data, adaptive thresholds for fault detection are computed. Finally, one can acquire fault detection results via a fault detection strategy. The proposed method can achieve tight bounds of the network output and employ simple operations, which leads to accurate fault detection results and a low computational burden.A numerical simulation and an experiment on an AC servo motor are given to illustrate the effectiveness and superiority of the proposed method.

关键词： interval analysis feedforward neural network fault detection adaptive thresholds

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Linear-quadratic and norm-bounded combined differential game guidance scheme with obstacle avoidance for attacking defended aircraft in three-player engagement

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Defence technology（防务技术） 2024年第12期42卷 136-155页

作者： Xintao Wang Ming Yang Songyan Wang Mingzhe Hou Tao Chao Control and Simulation Center Harbin Institute of TechnologyHarbin 150001China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin 150001China Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001China

A differential game guidance scheme with obstacle avoidance,based on the formulation of a combined linear quadratic and norm-bounded differential game,is designed for a three-player engagement scenario,which includes a pursuer,an interceptor,and an *** confrontation between the players is divided into four phases(P1-P4)by introducing the switching time,and proposing different guidance strategies according to the phase where the static obstacle is located:the linear quadratic game method is employed to devise the guidance scheme for the energy optimization when the obstacle is located in the P1 and P3 stages;the norm-bounded differential game guidance strategy is presented to satisfy the acceleration constraint under the circumstance that the obstacle is located in the P2 and P4 ***,the radii of the static obstacle and the interceptor are taken as the design parameters to derive the combined guidance strategy through the dead-zone function,which guarantees that the pursuer avoids the static obstacle,and the interceptor,and attacks the ***,the nonlinear numerical simulations verify the performance of the game guidance strategy.

关键词： Active defense aircraft Differential game theory Three-player confrontation Energy optimization Acceleration constraint Obstacle avoidance

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Review of Formation control and Cooperative Guidance technology of Multiple Unmanned Aerial Vehicles

Review of Formation Control and Cooperative Guidance Technol...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Liu, Xinyu Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811966125

Aiming at the research status of formation control and cooperative guidance technology of multi unmanned aircrafts, this paper introduces various methods of formation control technology and cooperative guidance technology. It also expounds the characteristics of formation control methods such as graph theory, leader-follower formation, behavior strategy, virtual structure, artificial potential field mode and consistency mode, as well as independent, centralized and distributed cooperative guidance methods. Then the application status and technical development of intelligent methods in multi vehicles formation control and cooperative guidance are introduced. At the same time, this paper compares the advantages and problems of various methods, and prospects the future development direction of this field. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Graph theory

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Collaborative Estimation of Multi-source Heterogeneous Moving Sensors for UAV Cluster 5th

Collaborative Estimation of Multi-source Heterogeneous Movin...

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Yang, Xiangyu Song, Chuang Chen, Linxiu Hao, Mingrui Zhang, Hang Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811939976

In the cooperative combat mission of UAV cluster, the collaborative estimation of targets by airborne multi-source heterogeneous sensors can make the utmost of the multivariate detection performance of moving sensors placed in multiple spatial positions in complex confrontation environments, in order to deal with the problem of independent estimation failure of sensors carried by single aircraft under the multiple compound interference of non-cooperative targets. In this paper, the typical target motion model, estimation model and interference model are established, then a collaborative estimation method of airborne target detection sensors with different detection accuracy and different interference countermeasure capability is designed for each aircraft in the UAV cluster, based on spatial allocation strategy, nonlinear filtering, interference detection, consistency correlation and information fusion. It is verified by Monte Carlo simulation study that this method can guarantee the obtainment of continuous and accurate guidance information for each aircraft in the cluster, so as to improve the strike accuracy of each UAV and complete the strike mission. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Static Unstable STT Overload control on High-order Fully Actuated system Theory 6

Static Unstable STT Overload Control on High-order Fully Act...

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6th International Symposium on Autonomous systems, ISAS 2023

作者： Liu, Xinyu Hao, Mingrui Zhen, Yan Fan, Yu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316155

This article proposes a joint overload controller for pitch and yaw channels on the high-order fully actuated system theory for a nonlinear lateral and longitudinal static unstable STT aircraft model. Firstly, a second-order fully actuated system model for aircraft overload was derived, and an optimal control method for lateral and longitudinal overload was designed. Through mathematical simulation verification of this controller and traditional PID controller, it is shown that the PID control method has significant shortcomings in nonlinear aircraft with coupling. However, high-order fully actuated system theory control method can better adapt to nonlinear and static instability problems, achieve stable tracking of aircraft overload commands, and have better rapidity. © 2023 IEEE.

关键词： system theory

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Distributed Cooperative Search Based on DRH-NSGA Under Communication Constraint

Distributed Cooperative Search Based on DRH-NSGA Under Commu...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Si, Jia Shuai Cheng, Jin Hao, Ming Rui Liu, Zhen Chang Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811966125

For unmanned aerial vehicle (UAV) cooperative search mission under communication distance limitation environment, considering that the computation scale of rolling time domain optimization increases exponentially with the change of predicted steps and the problem that searching performance metrics are difficult to be selected, the distributed receding horizon non-dominated sorting genetic algorithm (DRH-NSGA) is proposed, and the distributed receding horizon (DRH) process is optimized by non-dominated sorting genetic algorithm (NSGA),and the cooperative search problem in dynamic environment is solved. Firstly, the motion and sensor models of UAV are established. Considering the possibility of interference or communication interruption during UAV communication, the communication interruption probability is added based on the communication distance constraint. In this paper, the environment awareness map is constructed, considering the motion characteristics of time-sensitive targets, and based on the updating of target probability by using Bayesian theory, the updating of time-sensitive target prediction transition probability is added to improve the accuracy of moving target existence probability map. Finally, the search performance index is designed reasonably, and the RH framework is used to optimize the search path. The simulation results show that the distributed cooperative search algorithm based on DRH-NSGA can shorten the single step planning time while ensuring the convergence speed and ensure the real-time decision-making of UAV search. At the same time, it can effectively take into account the search of moving targets after covering the search area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Antennas

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