The hypersonic target detection and recognition system is studied,on the basis of overall planning and design,a multi-agent system(MAS)structure and intelligent+information processing mechanism based on target detecti...The hypersonic target detection and recognition system is studied,on the basis of overall planning and design,a multi-agent system(MAS)structure and intelligent+information processing mechanism based on target detection and recognition are proposed,and the multi-agent operation process is analyzed and designed in detail.In the specific agents construction,the information fusion technology is introduced to defining the embedded agents and their interrelations in the system structure,and the intelligent processing ability of complex and uncertain problems is emphatically analyzed from the aspects of autonomy and collaboration.The aim is to optimize the information processing strategy of the hypersonic target detection and recognition system and improve the robustness and rapidity of the system.展开更多
The task assignment of multi-agent system has attracted considerable attention;however,the contradiction between computational complexity and assigning performance remains to be resolved.In this paper,a novel consensu...The task assignment of multi-agent system has attracted considerable attention;however,the contradiction between computational complexity and assigning performance remains to be resolved.In this paper,a novel consensus-based adaptive optimization auction(CAOA)algorithm is proposed to greatly reduce the computation load while attaining enhanced system payoff.A new optimization scheme is designed to optimize the critical control parameter in the price update role of auction algorithm which can reduce the searching complexity in obtaining a better bidding price.With this new scheme,the CAOA algorithm is designed.Then the developed algorithm is applied to the multi-AUV task assignment problem for underwater detection mission in complex environments.The simulation and comparison studies verify the effectiveness and advantage of the CAOA algorithm.展开更多
Using graph theory, matrix theory, adaptive control, fuzzy logic systems and other tools, this paper studies the leader-follower global consensus of two kinds of stochastic uncertain nonlinear multi-agent systems(MAS)...Using graph theory, matrix theory, adaptive control, fuzzy logic systems and other tools, this paper studies the leader-follower global consensus of two kinds of stochastic uncertain nonlinear multi-agent systems(MAS). Firstly, the fuzzy logic systems replaces the feedback compensator as the feedforward compensator to describe the uncertain nonlinear dynamics. Secondly, based on the network topology, all followers are divided into two categories: One is the followers who can obtain the leader signal, and the other is the follower who cannot obtain the leader signal. Thirdly, based on the adaptive control method, distributed control protocols are designed for the two types of followers. Fourthly, based on matrix theory and stochastic Lyapunov stability theory, the stability of the closed-loop systems is analyzed. Finally, three simulation examples are given to verify the effectiveness of the proposed control algorithms.展开更多
This study investigates the use of interactions as a metric to detect emergent phenomena in the ongoing agent-based simulations.The proposed algorithm aims to detect the flocking behavior in the Boids model.Boids mode...This study investigates the use of interactions as a metric to detect emergent phenomena in the ongoing agent-based simulations.The proposed algorithm aims to detect the flocking behavior in the Boids model.Boids model is simple to understand and to use and always verifies emergence.In recent years,several metrics have been proposed to investigate emergent behaviors in complex systems.Two main limitations of these studies are,how to choose a proper metric to avoid a high coast of computation,and how to detect emergence as it happens,i.e.,live detection.In this paper,we propose an interaction-based algorithm to detect emergent behavior in Boids model.The three main contributions of this work are:(1)using interaction as metric,(2)detect emergence when it happens,(3)no need to store simulation data for post-mortem analysis.A prior interactions analysis was done to classify the system interactions.The results show that the algorithm was able to detect the rise of the flocking,i.e.,emergence in the Boids model.Simulation results are provided to illustrate the effectiveness of the proposed approach.展开更多
基金This work was supported by the National Natural Science Foundation of China(61471391).
文摘The hypersonic target detection and recognition system is studied,on the basis of overall planning and design,a multi-agent system(MAS)structure and intelligent+information processing mechanism based on target detection and recognition are proposed,and the multi-agent operation process is analyzed and designed in detail.In the specific agents construction,the information fusion technology is introduced to defining the embedded agents and their interrelations in the system structure,and the intelligent processing ability of complex and uncertain problems is emphatically analyzed from the aspects of autonomy and collaboration.The aim is to optimize the information processing strategy of the hypersonic target detection and recognition system and improve the robustness and rapidity of the system.
基金supported by the National Natural Science Foundation of China(Grant Nos.62273281,U22B2039,and 61922068)。
文摘The task assignment of multi-agent system has attracted considerable attention;however,the contradiction between computational complexity and assigning performance remains to be resolved.In this paper,a novel consensus-based adaptive optimization auction(CAOA)algorithm is proposed to greatly reduce the computation load while attaining enhanced system payoff.A new optimization scheme is designed to optimize the critical control parameter in the price update role of auction algorithm which can reduce the searching complexity in obtaining a better bidding price.With this new scheme,the CAOA algorithm is designed.Then the developed algorithm is applied to the multi-AUV task assignment problem for underwater detection mission in complex environments.The simulation and comparison studies verify the effectiveness and advantage of the CAOA algorithm.
基金supported by Natural Science Foundation of China(No.61573013)。
文摘Using graph theory, matrix theory, adaptive control, fuzzy logic systems and other tools, this paper studies the leader-follower global consensus of two kinds of stochastic uncertain nonlinear multi-agent systems(MAS). Firstly, the fuzzy logic systems replaces the feedback compensator as the feedforward compensator to describe the uncertain nonlinear dynamics. Secondly, based on the network topology, all followers are divided into two categories: One is the followers who can obtain the leader signal, and the other is the follower who cannot obtain the leader signal. Thirdly, based on the adaptive control method, distributed control protocols are designed for the two types of followers. Fourthly, based on matrix theory and stochastic Lyapunov stability theory, the stability of the closed-loop systems is analyzed. Finally, three simulation examples are given to verify the effectiveness of the proposed control algorithms.
文摘This study investigates the use of interactions as a metric to detect emergent phenomena in the ongoing agent-based simulations.The proposed algorithm aims to detect the flocking behavior in the Boids model.Boids model is simple to understand and to use and always verifies emergence.In recent years,several metrics have been proposed to investigate emergent behaviors in complex systems.Two main limitations of these studies are,how to choose a proper metric to avoid a high coast of computation,and how to detect emergence as it happens,i.e.,live detection.In this paper,we propose an interaction-based algorithm to detect emergent behavior in Boids model.The three main contributions of this work are:(1)using interaction as metric,(2)detect emergence when it happens,(3)no need to store simulation data for post-mortem analysis.A prior interactions analysis was done to classify the system interactions.The results show that the algorithm was able to detect the rise of the flocking,i.e.,emergence in the Boids model.Simulation results are provided to illustrate the effectiveness of the proposed approach.
