In this paper, we develop a futures trading simulation system to determine how speculative behavior affects the futures mar ket. A eonfigurable client is designed to simulate traders, and users can define trade strate...In this paper, we develop a futures trading simulation system to determine how speculative behavior affects the futures mar ket. A eonfigurable client is designed to simulate traders, and users can define trade strategies using different programming languages. A lightweight server is designed to handle large scale and highly eoncmTent access requests from clients. HBase is chosen as the database to grantee sealability of the system. As HBase only supports single row transaction, a transaction support mechanism is developed to improve data consistency for HBase. The HBase transaction support mecha nism supports multirow and multitaMe by using two phase commit protocol. The experiments indicate that our system shows high efficiency in the face of the large scale and high concurrency access request, and the read/write performance loss of HBase introduced by the transaction support mecha nisms is also acceptable.展开更多
In this paper, formation tracking control problems for second-order multi-agent systems（MASs） with time-varying delays are studied, specifically those where the position and velocity of followers are designed to for...In this paper, formation tracking control problems for second-order multi-agent systems（MASs） with time-varying delays are studied, specifically those where the position and velocity of followers are designed to form a time-varying formation while tracking those of the leader. A neighboring relative state information based formation tracking protocol with an unknown gain matrix and time-varying delays is presented. The formation tracking problems are then transformed into asymptotically stable problems. Based on the Lyapunov-Krasovskii functional approach, conditions sufficient for second-order MASs with time-varying delays to realize formation tracking are examined. An approach to obtain the unknown gain matrix is given and, since neighboring relative velocity information is difficult to measure in practical applications, a formation tracking protocol with time-varying delays using only neighboring relative position information is introduced. The proposed results can be used on target enclosing problems for MASs with second-order dynamics and time-varying delays. An application for target enclosing by multiple unmanned aerial vehicles（UAVs） is given to demonstrate the feasibility of theoretical results.展开更多
This paper addresses the consensus problem of general linear multi-agent systems with persistent disturbances by distributed output feedback. Suppose that states of agents can not be obtained directly. Several estimat...This paper addresses the consensus problem of general linear multi-agent systems with persistent disturbances by distributed output feedback. Suppose that states of agents can not be obtained directly. Several estimators are designed to observe states of agents and the unknown disturbances. A protocol is proposed to drive all agents achieve consensus. Based on the method of model transforniation and the property of permutation matrix, sufficient conditions for consensus are obtained in terms of linear matrix inequalities. Finally, simulations are given to show the effectiveness of presented results.展开更多
Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain ...Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain strength,the intersection of these fields appears as an area of great opportunity.Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems(SMMS),increasing their efficiency and incentivizing more people to use active mobility modes.The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience.This paper presents an ad-hoc agentbased simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios,including a rebalancing system based on demand prediction.It also allows comparing its performance to station-based and dockless schemes.The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data.The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders,including vehicle design engineers,fleet operators,city planners,and governments.展开更多
文摘In this paper, we develop a futures trading simulation system to determine how speculative behavior affects the futures mar ket. A eonfigurable client is designed to simulate traders, and users can define trade strategies using different programming languages. A lightweight server is designed to handle large scale and highly eoncmTent access requests from clients. HBase is chosen as the database to grantee sealability of the system. As HBase only supports single row transaction, a transaction support mechanism is developed to improve data consistency for HBase. The HBase transaction support mecha nism supports multirow and multitaMe by using two phase commit protocol. The experiments indicate that our system shows high efficiency in the face of the large scale and high concurrency access request, and the read/write performance loss of HBase introduced by the transaction support mecha nisms is also acceptable.
基金co-supported by the National Natural Science Foundation of China (Nos. 61333011, 91216304 and 61121003)
文摘In this paper, formation tracking control problems for second-order multi-agent systems（MASs） with time-varying delays are studied, specifically those where the position and velocity of followers are designed to form a time-varying formation while tracking those of the leader. A neighboring relative state information based formation tracking protocol with an unknown gain matrix and time-varying delays is presented. The formation tracking problems are then transformed into asymptotically stable problems. Based on the Lyapunov-Krasovskii functional approach, conditions sufficient for second-order MASs with time-varying delays to realize formation tracking are examined. An approach to obtain the unknown gain matrix is given and, since neighboring relative velocity information is difficult to measure in practical applications, a formation tracking protocol with time-varying delays using only neighboring relative position information is introduced. The proposed results can be used on target enclosing problems for MASs with second-order dynamics and time-varying delays. An application for target enclosing by multiple unmanned aerial vehicles（UAVs） is given to demonstrate the feasibility of theoretical results.
基金supported by the National Natural Science Foundation of China under Grant No.61304155
文摘This paper addresses the consensus problem of general linear multi-agent systems with persistent disturbances by distributed output feedback. Suppose that states of agents can not be obtained directly. Several estimators are designed to observe states of agents and the unknown disturbances. A protocol is proposed to drive all agents achieve consensus. Based on the method of model transforniation and the property of permutation matrix, sufficient conditions for consensus are obtained in terms of linear matrix inequalities. Finally, simulations are given to show the effectiveness of presented results.
文摘Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain strength,the intersection of these fields appears as an area of great opportunity.Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems(SMMS),increasing their efficiency and incentivizing more people to use active mobility modes.The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience.This paper presents an ad-hoc agentbased simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios,including a rebalancing system based on demand prediction.It also allows comparing its performance to station-based and dockless schemes.The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data.The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders,including vehicle design engineers,fleet operators,city planners,and governments.
