An approach to multi-agent systems as a generalized multi-synchronization problem

Author(s)

    • Martínez-Guerra, Rafael
    • Flores Flores, Juan Pablo

Bibliographic Information

An approach to multi-agent systems as a generalized multi-synchronization problem

Rafael Martínez-Guerra, Juan Pablo Flores-Flores

(Understanding complex systems / founding editor, J.A. Scott Kelso)

Springer Nature Switzerland, 2023

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Description and Table of Contents

Description

This book addresses the problem of multi-agent systems, considering that it can be interpreted as a generalized multi-synchronization problem. From manufacturing tasks, through encryption and communication algorithms, to high-precision experiments, the simultaneous cooperation between multiple systems or agents is essential to successfully carrying out different modern activities, both in academy and industry. For example, the coordination of multiple assembler robots in manufacturing lines. These agents need to synchronize. The first two chapters of the book describe the synchronization of dynamical systems, paying special attention to the synchronization of non-identical systems. Following, the third chapter presents an interesting application of the synchronization phenomenon for state estimation. Subsequently, the authors fully address the multi-agent problem interpreted as multi-synchronization. The final chapters introduce the reader to a more complex problem, the synchronization of systems governed by partial differential equations, both of integer and fractional order. The book aimed at graduates, postgraduate students and researchers closely related to the area of automatic control. Previous knowledge of linear algebra, classical and fractional calculus is requested, as well as some fundamental notions of graph theory.

Table of Contents

An Overview of Chaos Synchronization.- Synchronization of Non-identical Systems.- State Estimation and Synchronization.- Generalized Multi-Synchronization and Multi-Agent Systems.- Multi-Synchronization in Heterogeneous Networks.- Synchronization for PDE-based Systems.- Synchronization and Fractional-order Systems.

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