UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we inve...UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we investigate current works about UAV coverage problem and propose a multi-UAV coverage model based on energy-efficient communication. The proposed model is decomposed into two steps: coverage maximization and power control, both are proved to be exact potential games(EPG) and have Nash equilibrium(NE) points. Then the multi-UAV energy-efficient coverage deployment algorithm based on spatial adaptive play(MUECD-SAP) is adopted to perform coverage maximization and power control, which guarantees optimal energy-efficient coverage deployment. Finally, simulation results show the effectiveness of our proposed approach, and confirm the reliability of proposed model.展开更多
Generative adversarial network(GAN) is the most exciting machine learning breakthrough in recent years,and it trains the learning model by finding the Nash equilibrium of a two-player zero-sum game.GAN is composed of ...Generative adversarial network(GAN) is the most exciting machine learning breakthrough in recent years,and it trains the learning model by finding the Nash equilibrium of a two-player zero-sum game.GAN is composed of a generator and a discriminator,both trained with the adversarial learning mechanism.In this paper,we introduce and investigate the use of GAN for novelty detection.In training,GAN learns from ordinary data.Then,using previously unknown data,the generator and the discriminator with the designed decision boundaries can both be used to separate novel patterns from ordinary patterns.The proposed GAN-based novelty detection method demonstrates a competitive performance on the MNIST digit database and the Tennessee Eastman(TE) benchmark process compared with the PCA-based novelty detection methods using Hotelling's T^2 and squared prediction error statistics.展开更多
Potential games are noncooperative games for which there exist auxiliary functions, called potentials,such that the maximizers of the potential are also Nash equilibria of the corresponding game. Some properties of Na...Potential games are noncooperative games for which there exist auxiliary functions, called potentials,such that the maximizers of the potential are also Nash equilibria of the corresponding game. Some properties of Nash equilibria, such as existence or stability, can be derived from the potential, whenever it exists. We survey different classes of potential games in the static and dynamic cases, with a finite number of players, as well as in population games where a continuum of players is allowed. Likewise, theoretical concepts and applications are discussed by means of illustrative examples.展开更多
针对现有云服务中虚拟网络嵌入方法无法有效处理硬件故障的不足,提出一种基于协作博弈的高可靠性虚拟网络嵌入策略CG-VNE(virtual network embedding strategy based on cooperative game),其目标是通过使客户们的接受率最大化使云供应...针对现有云服务中虚拟网络嵌入方法无法有效处理硬件故障的不足,提出一种基于协作博弈的高可靠性虚拟网络嵌入策略CG-VNE(virtual network embedding strategy based on cooperative game),其目标是通过使客户们的接受率最大化使云供应方的收入最大,同时将底层路由器或链路故障导致的虚拟网络中断率降到最低.为了回避虚拟网络映射过程的指数级复杂度,CG-VNE将虚拟网络嵌入问题阐述为两个互相交错的协作博弈:第1个博弈处理虚拟节点映射问题,第2个博弈处理虚拟链路的嵌入问题.通过这两种博弈,虚拟博弈方通过合作即可达到纳什平衡,在提升云提供商的收入的同时有效地处理了路由器和链路的物理故障.全面的仿真实验结果表明,在新客户拒绝率、云服务收入及受到物理故障影响的客户率3个方面,相比于目前大多数虚拟网络嵌入算法而言,CG-VNE的性能提升明显.展开更多
In the noncooperative game, when considering the existence of solution to classical Nash equilibrium, there is a hypothesis, for each player he (or she) has a nonempty compact convex strategic set and the utility func...In the noncooperative game, when considering the existence of solution to classical Nash equilibrium, there is a hypothesis, for each player he (or she) has a nonempty compact convex strategic set and the utility function is continuous. In this paper, under the systematic equilibrium view, a new existence result of solution to Nash equilibrium is obtained by employing the completeness of strategic space and semicontinuity of utility function instead of corresponding compactness and convexity and continuity.展开更多
In bimatrix games the Bishop-Cannings theorem of the classical evolutionary game theory does not permitpure evolutionarily stable strategies (ESSs) when a mixed ESS exists. We find the necessary form of two-qubit init...In bimatrix games the Bishop-Cannings theorem of the classical evolutionary game theory does not permitpure evolutionarily stable strategies (ESSs) when a mixed ESS exists. We find the necessary form of two-qubit initialquantum states when a switch-over to a quantum version of the game also changes the evolutionary stability of a mixedsymmetric Nash equilibrium.展开更多
This paper presented a game theoretic model to study the competition for a single investment oppertunity under uncertainty. It models the hazard rate of investment as a function of competitors' trigger level. Unde...This paper presented a game theoretic model to study the competition for a single investment oppertunity under uncertainty. It models the hazard rate of investment as a function of competitors' trigger level. Under uncertainty and different information structure, the option and game theory was applied to researching the optimal Nash equilibrium strategies of one or more firm. By means of Matlab software, the paper simulates a real estate developing project example and illustrates how parameter affects investment strategies. The paper's work will contribute to the present investment practice in China.展开更多
基金supported by the National Natural Science Foundation of China under Grant No. 61771488in part by the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant No. BK20160034+1 种基金 in part by the Open Research Foundation of Science and Technology on Communication Networks Laboratorythe Guang Xi Universities Key Laboratory Fund of Embedded Technology and Intelligent System (Guilin University of Technology)
文摘UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we investigate current works about UAV coverage problem and propose a multi-UAV coverage model based on energy-efficient communication. The proposed model is decomposed into two steps: coverage maximization and power control, both are proved to be exact potential games(EPG) and have Nash equilibrium(NE) points. Then the multi-UAV energy-efficient coverage deployment algorithm based on spatial adaptive play(MUECD-SAP) is adopted to perform coverage maximization and power control, which guarantees optimal energy-efficient coverage deployment. Finally, simulation results show the effectiveness of our proposed approach, and confirm the reliability of proposed model.
文摘Generative adversarial network(GAN) is the most exciting machine learning breakthrough in recent years,and it trains the learning model by finding the Nash equilibrium of a two-player zero-sum game.GAN is composed of a generator and a discriminator,both trained with the adversarial learning mechanism.In this paper,we introduce and investigate the use of GAN for novelty detection.In training,GAN learns from ordinary data.Then,using previously unknown data,the generator and the discriminator with the designed decision boundaries can both be used to separate novel patterns from ordinary patterns.The proposed GAN-based novelty detection method demonstrates a competitive performance on the MNIST digit database and the Tennessee Eastman(TE) benchmark process compared with the PCA-based novelty detection methods using Hotelling's T^2 and squared prediction error statistics.
基金supported by Consejo Nacional de Ciencia y Tecnología of Mexico (Grant No. 221291)
文摘Potential games are noncooperative games for which there exist auxiliary functions, called potentials,such that the maximizers of the potential are also Nash equilibria of the corresponding game. Some properties of Nash equilibria, such as existence or stability, can be derived from the potential, whenever it exists. We survey different classes of potential games in the static and dynamic cases, with a finite number of players, as well as in population games where a continuum of players is allowed. Likewise, theoretical concepts and applications are discussed by means of illustrative examples.
文摘针对现有云服务中虚拟网络嵌入方法无法有效处理硬件故障的不足,提出一种基于协作博弈的高可靠性虚拟网络嵌入策略CG-VNE(virtual network embedding strategy based on cooperative game),其目标是通过使客户们的接受率最大化使云供应方的收入最大,同时将底层路由器或链路故障导致的虚拟网络中断率降到最低.为了回避虚拟网络映射过程的指数级复杂度,CG-VNE将虚拟网络嵌入问题阐述为两个互相交错的协作博弈:第1个博弈处理虚拟节点映射问题,第2个博弈处理虚拟链路的嵌入问题.通过这两种博弈,虚拟博弈方通过合作即可达到纳什平衡,在提升云提供商的收入的同时有效地处理了路由器和链路的物理故障.全面的仿真实验结果表明,在新客户拒绝率、云服务收入及受到物理故障影响的客户率3个方面,相比于目前大多数虚拟网络嵌入算法而言,CG-VNE的性能提升明显.
文摘In the noncooperative game, when considering the existence of solution to classical Nash equilibrium, there is a hypothesis, for each player he (or she) has a nonempty compact convex strategic set and the utility function is continuous. In this paper, under the systematic equilibrium view, a new existence result of solution to Nash equilibrium is obtained by employing the completeness of strategic space and semicontinuity of utility function instead of corresponding compactness and convexity and continuity.
文摘In bimatrix games the Bishop-Cannings theorem of the classical evolutionary game theory does not permitpure evolutionarily stable strategies (ESSs) when a mixed ESS exists. We find the necessary form of two-qubit initialquantum states when a switch-over to a quantum version of the game also changes the evolutionary stability of a mixedsymmetric Nash equilibrium.
文摘This paper presented a game theoretic model to study the competition for a single investment oppertunity under uncertainty. It models the hazard rate of investment as a function of competitors' trigger level. Under uncertainty and different information structure, the option and game theory was applied to researching the optimal Nash equilibrium strategies of one or more firm. By means of Matlab software, the paper simulates a real estate developing project example and illustrates how parameter affects investment strategies. The paper's work will contribute to the present investment practice in China.
