Product analytics is a blend of computational methods with the express purpose of facilitating the multifaceted process of decision-making based on demographic and consumer preferences. This complex subject is derived...Product analytics is a blend of computational methods with the express purpose of facilitating the multifaceted process of decision-making based on demographic and consumer preferences. This complex subject is derived from consensus theory and includes structured analytics, categories, and the combination of evidence. The methodology is applicable to a wide range of business, economic, social, political, and strategic decisions. The paper describes a product allocation application to demonstrate the conceots.展开更多
Formation control and obstacle avoidance for multi-agent systems have attracted more and more attention. In this paper, the problems of formation control and obstacle avoidance are investigated by means of a consensus...Formation control and obstacle avoidance for multi-agent systems have attracted more and more attention. In this paper, the problems of formation control and obstacle avoidance are investigated by means of a consensus algorithm. A novel distributed control model is proposed for the multi-agent system to form the anticipated formation as well as achieve obstacle avoidance. Based on the consensus algorithm, a distributed control function consisting of three terms （formation control term, velocity matching term, and obstacle avoidance term） is presented. By establishing a novel formation control matrix, a formation control term is constructed such that the agents can converge to consensus and reach the anticipated formation. A new obstacle avoidance function is developed by using the modified potential field approach to make sure that obstacle avoidance can be achieved whether the obstacle is in a dynamic state or a stationary state. A velocity matching term is also put forward to guarantee that the velocities of all agents converge to the same value. Furthermore, stability of the control model is proven. Simulation results are provided to demonstrate the effectiveness of the proposed control.展开更多
This paper primarily focuses on the obstacle avoidance issue of followers in unmanned aerial vehicle(UAV)formation flight while considering formation constraints.Based on consensus theory and the artificial potential ...This paper primarily focuses on the obstacle avoidance issue of followers in unmanned aerial vehicle(UAV)formation flight while considering formation constraints.Based on consensus theory and the artificial potential field(APF)principle,a new fusion UAV formation control algorithm is proposed.The method employs a formation control strategy that combines the leader-following method and the virtual structure method,enabling the generation,maintenance and transformation of the formation through the utilization of a consensus controller.In response to the specific problem of the follower within the formation entering the no-fly zone and the self-collision among UAVs,APF-based formation path replanning and self-collision prevention algorithms are introduced.The simulation results demonstrate the effectiveness of the proposed algorithm.展开更多
文摘Product analytics is a blend of computational methods with the express purpose of facilitating the multifaceted process of decision-making based on demographic and consumer preferences. This complex subject is derived from consensus theory and includes structured analytics, categories, and the combination of evidence. The methodology is applicable to a wide range of business, economic, social, political, and strategic decisions. The paper describes a product allocation application to demonstrate the conceots.
基金supported by the National High Technology Research and Development Program of China(Grant No.2011AA040103)the Research Foundationof Shanghai Institute of Technology,China(Grant No.B504)
文摘Formation control and obstacle avoidance for multi-agent systems have attracted more and more attention. In this paper, the problems of formation control and obstacle avoidance are investigated by means of a consensus algorithm. A novel distributed control model is proposed for the multi-agent system to form the anticipated formation as well as achieve obstacle avoidance. Based on the consensus algorithm, a distributed control function consisting of three terms （formation control term, velocity matching term, and obstacle avoidance term） is presented. By establishing a novel formation control matrix, a formation control term is constructed such that the agents can converge to consensus and reach the anticipated formation. A new obstacle avoidance function is developed by using the modified potential field approach to make sure that obstacle avoidance can be achieved whether the obstacle is in a dynamic state or a stationary state. A velocity matching term is also put forward to guarantee that the velocities of all agents converge to the same value. Furthermore, stability of the control model is proven. Simulation results are provided to demonstrate the effectiveness of the proposed control.
基金supported by the National Natural Science Foundation of China(61973158)Forward-Looking Layout of Scientific Research Projects of NUAA(1003-ILA22064)。
文摘This paper primarily focuses on the obstacle avoidance issue of followers in unmanned aerial vehicle(UAV)formation flight while considering formation constraints.Based on consensus theory and the artificial potential field(APF)principle,a new fusion UAV formation control algorithm is proposed.The method employs a formation control strategy that combines the leader-following method and the virtual structure method,enabling the generation,maintenance and transformation of the formation through the utilization of a consensus controller.In response to the specific problem of the follower within the formation entering the no-fly zone and the self-collision among UAVs,APF-based formation path replanning and self-collision prevention algorithms are introduced.The simulation results demonstrate the effectiveness of the proposed algorithm.
