The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference
Complex Systems and Networks: Dynamics, Controls and Applications
β Scribed by Jinhu LΓΌ, Xinghuo Yu, Guanrong Chen, Wenwu Yu (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2016
- Tongue
- English
- Leaves
- 483
- Series
- Understanding Complex Systems
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.
β¦ Table of Contents
Front Matter....Pages i-viii
Discovering Cluster Dynamics Using Kernel Spectral Methods....Pages 1-24
Community Detection in Bipartite Networks: Algorithms and Case studies....Pages 25-50
Epidemiological Modeling on Complex Networks....Pages 51-77
Resilience of Spatial Networks....Pages 79-106
Synchronization and Control of Hyper-Networks and Colored Networks....Pages 107-129
New Nonlinear CPRNG Based on Tent and Logistic Maps....Pages 131-161
Distributed Finite-Time Cooperative Control of Multi-agent Systems....Pages 163-206
Composite Finite-Time Containment Control for Disturbed Second-Order Multi-agent Systems....Pages 207-228
Application of Fractional-Order Calculus in a Class of Multi-agent Systems....Pages 229-261
Chaos Control and Anticontrol of Complex Systems via Parrondoβs Game....Pages 263-282
Collective Behavior Coordination with Predictive Mechanisms....Pages 283-311
Convergence, Consensus and Synchronization of Complex Networks via Contraction Theory....Pages 313-339
Towards Structural Controllability of Temporal Complex Networks....Pages 341-371
A General Model for Studying Time Evolution of Transition Networks....Pages 373-393
Deflection Routing in Complex Networks....Pages 395-422
Recommender Systems for Social Networks Analysis and Mining: Precision Versus Diversity....Pages 423-438
Strategy Selection in Networked Evolutionary Games: Structural Effect and the Evolution of Cooperation....Pages 439-458
Network Analysis, Integration and Methods in Computational Biology: A Brief Survey on Recent Advances....Pages 459-482
β¦ Subjects
Complexity; Complex Networks; Nonlinear Dynamics
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