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Network Stability

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Reading list

We've selected 17 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Network Stability.
Provides a comprehensive overview of the theory and applications of network stability, covering topics such as Lyapunov stability, passivity, and input-to-state stability. It valuable resource for researchers and practitioners in the field of network engineering.
Authored by one of the pioneers in the field, this book offers a comprehensive and authoritative treatment of network science, covering fundamental concepts, models, and applications across various disciplines. It presents a broad overview of the field, making it accessible to readers from diverse backgrounds.
Approaches complex networks from a physicist's perspective, focusing on the structural properties and dynamical processes that govern their behavior. It provides a theoretical framework for understanding the behavior of complex networks, with a particular emphasis on their resilience and robustness.
Focuses on the control of networked systems, which involve interconnected components communicating over a network. It explores various control strategies and techniques tailored for networked systems, considering issues such as communication delays and packet dropouts.
Focuses on the stability of stochastic networks, providing a rigorous mathematical treatment of the topic. It covers topics such as ergodicity, stability of queues, and fluid limits.
With a focus on the statistical mechanics of complex networks, this book explores the behavior of complex networks from a statistical physics perspective. It provides a theoretical framework for understanding the emergence of patterns and phenomena in complex networks, considering factors such as connectivity, resilience, and robustness.
Provides an overview of the theory and applications of resilient control of networked systems. It is suitable for researchers and practitioners in the fields of control theory and network science.
Provides a mathematical treatment of the stability of stochastic networks. It is suitable for researchers and graduate students in the fields of probability theory and network science.
While primarily focused on network flows and monotone operators, this book also touches upon network stability in the context of traffic networks. It provides a mathematical framework for analyzing the flow of traffic through networks, considering issues such as congestion and stability.
While this book does not focus specifically on network stability, it provides a comprehensive overview of network optimization techniques that are essential for designing and operating stable networks. It covers topics such as convex optimization, duality, and graph theory.
Provides a comprehensive overview of convex optimization, which powerful tool for solving network optimization problems. It covers topics such as linear programming, semidefinite programming, and conic programming.
Provides a comprehensive overview of graph theory, which is the mathematical foundation for representing and analyzing networks. It covers topics such as graph connectivity, graph coloring, and graph algorithms.
Provides a comprehensive overview of probability and random processes, which are fundamental tools for modeling and analyzing networks. It covers topics such as probability theory, random variables, and stochastic processes.
Provides a comprehensive overview of applied probability and stochastic processes, which are fundamental tools for modeling and analyzing networks. It covers topics such as queuing theory, reliability theory, and Markov chains.
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