Dynamical Behaviors of Fractional-Order Complex Dynamical Networks
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Beschreibung
This book benefits researchers, engineers, and graduate students in the field of fractional-order complex dynamical networks. Recently, the dynamical behaviors (e.g., passivity, finite-time passivity, synchronization, and finite-time synchronization, etc.) for fractional-order complex networks (FOCNs) have attracted considerable research attention in a wide range of fields, and a variety of valuable results have been reported. In particular, passivity has been extensively used to address the synchronization of FOCNs.
This book benefits researchers, engineers, and graduate students in the field of fractional-order complex dynamical networks. Recently, the dynamical behaviors (e.g., passivity, finite-time passivity, synchronization, and finite-time synchronization, etc.) for fractional-order complex networks (FOCNs) have attracted considerable research attention in a wide range of fields, and a variety of valuable results have been reported. In particular, passivity has been extensively used to address the synchronization of FOCNs.
Provides a comprehensive overview of the dynamical behaviors for fractional-order complex networks Illustrates the relationship between the synchronization and passivity for fractional-order complex networks Introduces the approaches for investigating fractional-order complex networks
Autor*in
Jin-Liang Wang
Themen in »Dynamical Behaviors of Fractional-Order Complex Dynamical Networks«
Fractional-order complex dynamical networks coupled neural networks multiple derivative couplings multiple state couplings finite-time passivity passivity synchronization output synchronization PD control
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“This book presents a timely update and a collection of results on the dynamics, behaviors and control of fractional-order complex dynamical networks. … There are seven chapters in the book, that cover several different aspects and dynamical behaviors of fractional-order networks. … In each chapter, the main result on stability and/or network synchronization is proved using fractional-order stability theory, and the main results are often supported by numerical simulations.” (Zhiyong Sun, Mathematical Reviews, August 17, 2025)
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