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.

Distributed Control Concepts using Multi-Agent technology and Automatic Markets: An indispensable feature of smart power grids

Abstract: Multi-agent technology is state of the art ICT. It is not yet widely applied in power control systems. However, it has a large potential for bottom-up, distributed control of RES and DER in future power systems. At least two major European R&D projects (MicroGrids and CRISP) have investigated its potential. Both grid-related as well as market related applications have been studied. This paper will focus on two field tests, performed in the Netherlands, applying multi-agent control by means of the PowerMatcher concept. In the PowerMatcher concept (http://www.powermatcher.net/) software agents are used as representatives of the power producing and/or consuming installations. Via market algorithms a strategy is determined to ensure, that their operational schemes are coordinated in order to balance supply and demand according to the business case. The algorithms in the PowerMatcher use a bottom-up electronic market mechanism. Building such a system, controlling primary user processes on one hand, assuring local autonomy, and operating on the electricity market on the other hand, appears to be feasible with mainstream ICT-components. We will describe and discuss a number of results from two field tests performed with the PowerMatcher concept, and discuss further developments.

Event-Based Second-Order Consensus Control for Multi-Agent Systems via Synchronous Periodic Event Detection

Abstract: This technical note studies the consensus problem of multiple double-integrator networks under undirected topologies. A consensus protocol based on sampled-data control and edge event-driven techniques is proposed, and two associated event-triggering rules are presented. These edge events rely on the information of the corresponding two neighboring agents, and the event-triggering actions over edges are independent of each other. It is proved that the proposed protocol can solve the state consensus problem when the topology is connected, and also can reduce the controller-updating costs and communication costs. Finally, simulations are given to demonstrate the effectiveness of our theoretical results.

A multi-agent decision support system for stock trading

Abstract: A distributed problem solving system can be characterized as a group of individual cooperating agents running to solve common problems. As dynamic application domains continue to grow in scale and complexity, it becomes more difficult to control the purposeful behavior of agents, especially when unexpected events may occur. This article presents an information and knowledge exchange framework to support distributed problem solving. From the application viewpoint the article concentrates on the stock trading domain; however, many presented solutions can be extended to other dynamic domains. It addresses two important issues: how individual agents should be interconnected so that their resources are efficiently used and their goals accomplished effectively; and how information and knowledge transfer should take place among the agents to allow them to respond successfully to user requests and unexpected external situations. The article introduces an architecture, the MASST system architecture, which supports dynamic information and knowledge exchange among the cooperating agents. The architecture uses a dynamic blackboard as an interagent communication paradigm to facilitate factual data, business rule, and command exchange between cooperating MASST agents. The critical components of the MASST architecture have been implemented and tested in the stock trading domain, and have proven to be a viable solution for distributed problem solving based on cooperating agents.