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In many real-world situations, a problem emerges suddenly (e.g., Cyber attacks may take just milliseconds), while the response processes may last much longer (e.g., network system restoration after a Cyber attack may take hours or days). Presently, a fully automated response is impractical, due to complex dynamics and uncertainties, as well as social and political requirements (e.g., for humans to...
In this study, a novel robot control framework is presented for multiple autonomous underwater vehicles. In this framework, we incorporate sonar sensor data and integrated navigation system position data in a simulation environment, called UNBeatable-Sim, where complex control behaviors can be executed and analyzed. UNBeatable-Sim is developed by the COllaboration Based Robotics and Automation (COBRA)...
Resource allocation is an important issue in cognitive radio systems. It can be done by carrying out negotiation among secondary users. However, significant overhead may be incurred by the negotiation since the negotiation needs to be done frequently due to the rapid change of primary users' activity. In this paper, a channel selection scheme without negotiation is considered for multi-user and multi-channel...
In this paper, a non-time based action executor is proposed for the Coordinated Hybrid Agent (CHA) framework for the control of multi-agent systems. The non-time based agent is designed for multiple intelligent vehicles. Non-time based motion controllers have been successfully applied to many areas such as robot motion control, multi-robot coordination, force and impact control, robotic teleoperation...
In this paper, a non-time based tracking controller for multiple intelligent vehicles is designed. Non-time based motion controllers have been successfully applied to many areas such as robot motion control, multi-robot coordination, force and impact control, robotic tele-operation and manufacturing automation. In this research, we propose to use non-time based multi-agent control for the control...
In the future, autonomous Unmanned Aerial Vehicles (UAVs) need to work in teams to share information and coordinate activities. The private sector and government agencies have implemented UAVs for home-land security, reconnaissance, surveillance, data collection, urban planning, and geometrics engineering. Significant research is in progress to support the decision-making process for a Multi-Agent...
Recently, a coordinated hybrid agent (CHA) framework was proposed for the control of multi-agent systems (MASs). In the past few years, it has been applied to both homogeneous and heterogeneous multi-agent systems. In previous studies, the coordination among agents were implemented based on the designerpsilas knowledge of the system. For large complex systems, it would be desirable if we can plan...
The coordinated hybrid agent (CHA) framework for the control of multi-agent systems (MASs) has been used to model both the homogeneous and the heterogeneous multi-agent systems. In this framework, the control of the MASs is regarded as a decentralized control and coordination of agents. The CHA framework is able to implement coordination tasks for multi-agent systems. In this study, the stability...
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