Description

Book Synopsis

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work t

Table of Contents

Preface. Introduction. Theoretical Background. Distributed Intelligence in Power Systems. Consensus for Heterogeneous Systems with Delays. Secure Control of Distributed Multiagent Systems. Advanced Consensus Algorithms. Cooperative Control of Networked Power Systems. Dynamic Graphical Games. References. Index.

Multiagent Systems

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    A Hardback by Magdi S. Mahmoud

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      Publisher: Taylor & Francis Ltd
      Publication Date: 27/03/2020
      ISBN13: 9780367255367, 978-0367255367
      ISBN10: 0367255367

      Description

      Book Synopsis

      Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work t

      Table of Contents

      Preface. Introduction. Theoretical Background. Distributed Intelligence in Power Systems. Consensus for Heterogeneous Systems with Delays. Secure Control of Distributed Multiagent Systems. Advanced Consensus Algorithms. Cooperative Control of Networked Power Systems. Dynamic Graphical Games. References. Index.

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