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An AutoML based trajectory optimization method for long-distance spacecraft pursuit-evasion game

Journal of Systems Engineering and Electronics 2023年第3期34卷 754-765页

作者： YANG Fuyunxiang YANG Leping ZHU Yanwei College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China

Current successes in artificial intelligence domain have revitalized interest in spacecraft pursuit-evasion game,which is an interception problem with a non-cooperative maneuvering *** paper presents an automated machine learning(AutoML)based method to generate optimal trajectories in long-distance *** with conventional deep neural network(DNN)methods,the proposed method dramatically reduces the reliance on manual intervention and machine learning ***,based on differential game theory and costate normalization technique,the trajectory optimization problem is formulated under the assumption of continuous ***,the AutoML technique based on sequential model-based optimization(SMBO)framework is introduced to automate DNN design in deep learning *** recommended DNN architecture exists,the tree-structured Parzen estimator(TPE)is used,otherwise the efficient neural architecture search(NAS)with network morphism is ***,a novel trajectory optimization method with high computational efficiency is ***,numerical results demonstrate the feasibility and efficiency of the proposed method.

关键词： pursuit-evasion different game trajectory optimization automated machine learning(AutoML)

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A survey of the pursuit-evasion problem in swarm intelligence

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信息与电子工程前沿:英文版 2023年第8期24卷 1093-1116页

作者： Zhenxin MU Jie PAN Ziye ZHOU Junzhi YU Lu CAO State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China National Innovation Institute of Defense Technology Beijing 100071China

For complex functions to emerge in artificial systems,it is important to understand the intrinsic mechanisms of biological swarm behaviors in *** this paper,we present a comprehensive survey of pursuit–evasion,which is a critical problem in biological ***,we review the problem of pursuit–evasion from three different perspectives:game theory,control theory and artificial intelligence,and bio-inspired *** we provide an overview of the research on pursuit–evasion problems in biological systems and artificial *** summarize predator pursuit behavior and prey evasion behavior as predator–prey ***,we analyze the application of pursuit–evasion in artificial systems from three perspectives,i.e.,strong pursuer group *** evader group,weak pursuer group *** evader group,and equal-ability ***,relevant prospects for future pursuit–evasion challenges are *** survey provides new insights into the design of multi-agent and multi-robot systems to complete complex hunting tasks in uncertain dynamic scenarios.

关键词： Swarm behavior pursuit-evasion Artificial systems Biological model Collective motion

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Experimental Evaluation of Certain pursuit and evasion Schemes for Wheeled Mobile Robots

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International Journal of Automation and computing 2019年第4期16卷 491-510页

作者： Amit Kumar Aparajita Ojha Computer Science and Engineering Indian Institute of Information Technology Kota Jaipur 302017 India Computer Science and Engineering Indian Institute of Information Technology Design and Manufacturing Jabalpur 482005 India

pursuit-evasion games involving mobile robots provide an excellent platform to analyze the performance of pursuit and evasion strategies. pursuit-evasion has received considerable attention from researchers in the past few decades due to its application to a broad spectrum of problems that arise in various domains such as defense research, robotics, computer games, drug delivery, cell biology, etc. Several methods have been introduced in the literature to compute the winning chances of a single pursuer or single evader in a two-player game. Over the past few decades, proportional navigation guidance (PNG) based methods have proved to be quite effective for the purpose of pursuit especially for missile navigation and target tracking. However, a performance comparison of these pursuer-centric strategies against recent evader-centric schemes has not been found in the literature, for wheeled mobile robot applications. With a view to understanding the performance of each of the evasion strategies against various pursuit strategies and vice versa, four different proportional navigation-based pursuit schemes have been evaluated against five evader-centric schemes and vice-versa for non-holonomic wheeled mobile robots. The pursuer′s strategies include three well-known schemes namely, augmented ideal proportional navigation guidance (AIPNG), modified AIPNG, angular acceleration guidance (AAG), and a recently introduced pursuer-centric scheme called anticipated trajectory-based proportional navigation guidance (ATPNG). Evader-centric schemes are classic evasion, random motion, optical-flow based evasion, Apollonius circle based evasion and another recently introduced evasion strategy called anticipated velocity based evasion. The performance of each of the pursuit methods was evaluated against five different evasion methods through hardware implementation. The performance was analyzed in terms of time of interception and the distance traveled by players. The working environme

关键词： pursuit-evasion wheeled mobile robot proportional navigation trajectory planning target interception

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A pursuit-evasion Problem of Multiple Pursuers from the Biological-inspired Perspective

A Pursuit-Evasion Problem of Multiple Pursuers from the Biol...

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第40届中国控制会议

作者： Jianan Wang Guilu Li Li Liang Dandan Wang Chunyan Wang School of Astronautics Beijing Institute of Technology

The pursuit-evasion problem is common in both nature and the artificial intelligence area. We consider the multiplayer pursuit-evasion problem of multiple pursuers with communication constraints on an evader. Besides, the velocity of all pursuers is varying, and the initial positions do not need to be on the circle. The conditions for successful capture, including distance conditions and quantity conditions, are defined in this paper. Furthermore, the capture strategy and escape strategy are designed from the biological-inspired perspective. We realize collision avoidance, gathering, and direction alignment between pursuers by introducing repulsion, attraction, and alignment functions in the pursuer strategy. Then, we observe the sharp phasetransition between the capture zone and escape zone and fit the relevant phase-transition lines by varying the repulsion-coefficient and attraction-coefficient. Based on the coherent analysis for pursuit-evasion behaviour, the relationship between the parameters and the outcome can be obtained.

关键词： pursuit-evasion Biological-Inspired Multiple Pursuers Newtonian Dynamics Collision Avoidance

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A gameproblemofpursuit-evasionwith nth orderdifferentialequations describing players’dynamics

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Journal of Control and Decision 2022年第2期9卷 193-201页

作者： Abbas Ja'afaru Badakaya Aminu Sulaiman Halliru Jamilu Adamu Mathematial Sciences Bayero UniversityKanoNigeria Mathematics Federal University GashuaGashuaNigeria

In this paper,we study a pursuit-evasion differential game problem in the Hilbert space *** of countable number of pursuers and evader expressed as nth-order differential equa-tions with geometric constraints on the control functions of the *** game terminates at a given fixed time which is denoted by *** game's payoff is the infimum of the distances between the evader and pursuers at the time *** to the rule of the game,pursuers try to minimise the distance to the evader and the evader tries to maximises *** found value of the game and constructed players'optimal strategies.

关键词： pursuit-evasion value of the game geometric constraints Hilbert space

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Distribution of Miss Distance in Discrete-Time Controlled System with Noise-Corrupted State Information

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World Journal of Engineering and Technology 2017年第4期5卷 69-77页

作者： Shengwen Xiang Hongqi Fan Qiang Fu ATR Laboratory National University of Defense Technology Changsha China

Miss distance is an important parameter of assessing highly maneuvering targets interception. Due to the noise-corrupted measurement and the fact that not all the state variables can be directly measured, the miss distance becomes a random variable with a priori unknown distribution. Currently, such a distribution is mainly evaluated by the method of Monte Carlo simulation. In this paper, an analytic approach is obtained in discrete-time controlled system with noise-corrupted state information. The system is subject to a bang-bang control strategy. The analytic distribution is validated through the comparison with Monte Carlo simulation.

关键词： pursuit-evasion Game Highly Maneuvering Target Miss Distance Analytic Approach

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