Evasion guidance algorithms for air-breathing hypersonic vehicles in three-player pursuit-evasion games

In practical combat scenario, the cooperative intercept strategies are often carefully designed, and it is challenging for the hypersonic vehicles to achieve successful evasion. Based on the analysis, it can be found that if several Successive Pursuers come from the Same Direction (SPSD) and flight with a proper spacing, the evasion difficulty may increase greatly. To address this problem, we focus on the evasion guidance strategy design for the Air-breathing Hypersonic Vehicles (AHVs) under the SPSD combat scenario. In order to avoid the induced influence on the scramjet, altitude and speed of the vehicle, the lateral maneuver and evasion are employed. To guarantee the remnant maneuver ability, the concept of specified miss distance is introduced and utilized to generate the guidance command for the AHV. In the framework of constrained optimal control, the analytical expression of the evasion command is derived, and the constraints of the overload can be ensured to be never violated. In fact, by analyzing the spacing of the pursers, it can be classified whether the cooperative pursuit is formed. For the coordination-unformed multiple pursers, the evasion can be achieved lightly by the proposed strategy. If the coordination is formed, the proposed method will generate a large reverse direction maneuver, and the successful evasion can be maintained as a result. The performance of the proposed algorithms is tested in numerical simulations.     

社会信用建设的博弈分析

在中国社会由计划经济步人市场经济的转轨时期，强化人们的信用意识，建立社会信用体系已成为摆在政府、企业、个人面前的重要工作。根据经济学的一般理论，重复博弈是人们寻求长期合作的最佳对策，也是建立信任和良好名声的基础。     

基于博弈论的顶岗实习策略分析

顶岗实习是工学结合的重要形式,以博弈论的角度,顶岗实习方案决策是职业院校与企业的博弈过程,且主要为二人零和完全信息静态博弈;建立了博弈模型,给出了纳什均衡,确定了可行策略的条件;提出了对不同企业类型的策略设计要点。     

Stable two-sided matching of slot allocation in airport collaborative decision making by top trading cycles mechanism

The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making (CDM) is an important approach applied to Air Traffic Management (ATM) to achieve this efficient use of the slots allocation. Using the Matching approach for two-sided markets of Game theory, the Top Trading Cycle CDM (TTC-CDM) algorithm developed in this research is an extension of the CDM approach aggregating the Ground Delay Program (GDP) of the air sector. The paper compared the developed TTC-CDM model to the existing models such as the conventional Compression algorithm in CDM, the Trade Cycle algorithm and the Deferred Acceptance CDM (DA-CDM) model to evaluate the performance of the proposed model. Through a case study, the results show the effective application of TTC-CDM model to slot allocation in ATM and also presents the advantage of considering the preferences of airport managers beside ATC controllers and airlines in the decision processing.     

应用对策理论的多目标气动优化设计

将经济学中的Nash均衡理论引入到气动优化设计中,探索一种新颖的处理互为冲突的多目标气动外形优化设计方法.基本的优化器为基于伴随方法的确定性优化算法,文中通过引入负反馈技术发展了约束最优控制理论,所有的约束条件都被自动的和隐含的满足.在对称Nash策略中,每一个优化器都力图优化自己的目标,而Nash平衡则提供了多个目标之间的一种妥协解.设计算例表明,文中的Nash竞争策略在多目标气动优化设计中是有效的.     

基于博弈视角的企业核心人力资源保留研究

核心入力资源是企业获得长期成长和核心竞争力的重要源泉,实现核心人力资源的保留和发展对企业人力资源管理而言是至关重要的工作。本文以博弈理论为分析工具,分别从人力资源市场和企业内部资源配置两个层面来分析核心人力资源的供需结构以及供需双方的博弈策略,并针对飞行员这一核心人力资源进行分析。     

基于竞争环境下的舱位控制博弈模型分析

近年来,收益管理已然成为航空公司增加收益的重要手段,而收益管理模型也已广泛应用。在收益管理舱位控制的研究中,大部分是采用静态或动态建模的方法,针对某一个航空公司进行分析,而对竞争环境下的博弈模型的研究较少。本文在前人研究的基础之上,分析我国航空运输市场,给出一个舱位等级和多个舱位等级情况下的竞争博弈模型,通过对模型的分析可以得出影响舱位控制的因素。     

Consensus based on learning game theory with a UAV rendezvous application

Multi-agent cooperation problems are becoming more and more attractive in both civilian and military applications. In multi-agent cooperation problems, different network topologies will decide different manners of cooperation between agents. A centralized system will directly control the operation of each agent with information flow from a single centre, while in a distributed system, agents operate separately under certain communication protocols. In this paper, a systematic distributed optimization approach will be established based on a learning game algorithm.The convergence of the algorithm will be proven under the game theory framework. Two typical consensus problems will be analyzed with the proposed algorithm. The contributions of this work are threefold. First, the designed algorithm inherits the properties in learning game theory for problem simplification and proof of convergence. Second, the behaviour of learning endows the algorithm with robustness and autonomy. Third, with the proposed algorithm, the consensus problems will be analyzed from a novel perspective.     

Benefits and challenges of voluntary contribution to GEOSS

The vision of the Global Earth Observation System of Systems (GEOSS) is the achievement of societal benefits through voluntary contribution and sharing of data, metadata and products at no or minimum cost. Such undertakings, where contribution provides positive externalities, benefiting contributors and non-contributors alike, are often described as ‘social dilemmas’, usually resulting in small levels of voluntary contribution. We investigate the benefits and challenges of voluntary contribution to GEOSS, surveying economic and game theoretic literature and examining how the concepts of social dilemmas apply to the provision of GEOSS. We conduct an exploratory survey among individuals involved in the Group on Earth Observation (GEO) to understand their perception of voluntarily contribution. Even though contribution to GEOSS was perceived as rather low, e.g. because of a perceived lack of funds, commitment or organization, survey respondents also perceived many (exclusive) benefits of contribution, e.g. networking, visibility for their work or collaborating with motivated individuals. To increase participation, respondents suggested increasing financial support and raising awareness of GEOSS. We conclude that communicating the efficacy of individuals' contributions, the personal benefits of contribution and strengthening of group identity and knowledge about fellow participants' work can constitute incentives for future voluntary contribution. This could be facilitated by an externally established institution providing a framework for cooperation, or by institutions, agreements or frameworks agreed upon by contributors themselves.     

Mission decision-making method of multi-aircraft cooperatively attacking multi-target based on game theoretic framework

Coordinated mission decision-making is one of the core steps to effectively exploit the capabilities of cooperative attack of multiple aircrafts. However, the situational assessment is an essential base to realize the mission decision-making. Therefore, in this paper, we develop a mission decision-making method of multi-aircraft cooperatively attacking multi-target based on situational assessment. We have studied the situational assessment mathematical model based on the Dempster-Shafer (D-S) evidence theory and the mission decision-making mathematical model based on the game theory. The proposed mission decision-making method of antagonized airfight is validated by some simulation examples of a swarm of unmanned combat aerial vehicles (UCAVs) that carry out the mission of the suppressing of enemy air defenses (SEAD).