Topic
Multi-agent system
About: Multi-agent system is a research topic. Over the lifetime, 27978 publications have been published within this topic receiving 465191 citations. The topic is also known as: multi-agent systems & multiagent system.
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01 Oct 2004TL;DR: This paper aims to contribute with a generic model for active perception in situated multi-agent systems, which decomposes perception into three functionalities: sensing, interpreting, and filtering.
Abstract: Modeling the environment and agent-environment relationships is not well explored in multi-agent systems, in particular not for software multi-agent systems. This paper aims to contribute with a generic model for active perception in situated multi-agent systems. Active perception enables an agent to direct its perception at the most relevant aspects in the environment, according to its current task. The model decomposes perception into three functionalities: sensing, interpreting, and filtering. The agent first senses its neighborhood through a set of selected foci, resulting in a representation. A set of perceptual laws enforces domain specific constraints on sensing. Next, the agent interprets the representation by means of descriptions, resulting in a percept. Percepts are expressions that can be understood by the internal machinery of the agent. Finally, the percept is filtered by a set of selected filters, restricting the perceived data according to specific context relevant selection criteria.
94 citations
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TL;DR: It is proved that under the proposed control protocol, the modified consensus problem can be solved if and only if the system matrices of the agent's dynamics are stabilizable and detectable, the input matrix is not a zero matrix, and the communication topology graph has a spanning tree.
94 citations
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07 Jan 2008
TL;DR: A multiperspective case study of the design, implementation and performance of a networked business constellation for the business case of imbalance reduction in commercial clusters of DER resulted in substantial imbalance reductions.
Abstract: Distributed generation (DG) of electricity is providing an increasing part of the worldwide electricity supply. At the same time, there is a big potential of demand response resources. When - in a geographical area or in the contract portfolio of an energy trader - the number of these distributed energy resources (DER) increases, clustered control of DER by common ICT (information and communication technology) systems can add value. Due to the fine-grained and distributed nature of DER, the design of such a system needs to meet heavy requirements, e.g. regarding scalability and openness. Further, these systems need to balance multiple stakes in a multi-actor environment. Multiagent systems, especially those based on electronic markets have been identified as key technologies in this respect. This paper presents a multiperspective case study of the design, implementation and performance of such a system for the business case of imbalance reduction in commercial clusters of DER. The benefits of this approach are shown by field experimental results of a real-life DER cluster with an imbalance characteristic dominated by wind electricity production. The approach resulted in substantial imbalance reductions. Further, a thorough analysis of the networked business constellation is given, together with an indication how business modelling techniques can be used to assess the financial feasibility of the business idea.
94 citations
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TL;DR: This paper presents an ontology-based methodology, MOBMAS, for the analysis and design of multi-agent systems and identifies and implements the various ways in which ontologies can be used in the MAS development process and integrated into the MAS model definitions.
Abstract: Ontologies offer significant benefits to multi-agent systems: interoperability, reusability, support for multi-agent system (MAS) development activities (such as system analysis and agent knowledge modeling) and support for MAS operation (such as agent communication and reasoning). This paper presents an ontology-based methodology, MOBMAS, for the analysis and design of multi-agent systems. MOBMAS is the first methodology that explicitly identifies and implements the various ways in which ontologies can be used in the MAS development process and integrated into the MAS model definitions. In this paper, we present comprehensive documentation and validation of MOBMAS.
94 citations
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TL;DR: It is shown that with the proposed triggering mechanism, the cooperative output regulation problem can be solved by a distributed control law with only intermittent communication and Zeno behavior can be thus excluded.
Abstract: This paper addresses the cooperative output regulation problem of heterogeneous linear multi-agent systems with directed communication topologies, requiring only intermittent communication. First, we propose a unified framework of time- and event-triggering strategies. Then based on the unified triggering framework, a novel triggering mechanism utilizing the self-triggering strategy is developed. It is shown that with the proposed triggering mechanism, the cooperative output regulation problem can be solved by a distributed control law with only intermittent communication. It is further shown that with the unified framework of time- and event-triggering strategies for each agent, a positive minimum inter-event time can be explicitly given and Zeno behavior can be thus excluded. An example is finally provided to demonstrate the effectiveness of the proposed controller and the triggering mechanism.
94 citations