Network Controllability Robustness: Analysis, Evaluation And Optimization

di Yang Lou (Autore)

Lin Wang (Autore)

Guanrong Chen (Autore)

World Scientific Publishing Co Pte Ltd, 2026

This book studies the important notion of controllability robustness for complex dynamical networks in the linear or linearized settings. Chapter 1 provides an overview of network controllability and controllability robustness, as well as some preliminaries and research problems. Chapter 2 introduces the basic concept and knowledge of network controllability, covering definitions, computational methods, and evaluation metrics. It explores key topological features of the controllability robustness. Chapter 3 analyzes the controllability robustness in complex networks, introducing key metrics, attack strategies, hierarchical attack methods, simulation criteria, and analytical models. Chapter 4 explores techniques for enhancing the controllability robustness, introducing robustness-oriented models, metaheuristic-based optimization, and an empirical necessary condition verified through extensive experiments. Chapter 5 examines data-driven approaches for evaluating the controllability robustness, focusing on input representation, model architecture, and output interpretation, from a machine learning-based approach. Chapter 6 introduces a framework for assessing and visualizing the controllability robustness enhancement potential, leveraging data-driven methods to deliver accurate predictions and interpretability at low computational cost. Finally, Chapter 7 reviews recent advancements, identifies key challenges, and outlines future directions in network controllability robustness studies.

• Autore: Yang Lou, Lin Wang, Guanrong Chen
• Editore: World Scientific Publishing Co Pte Ltd
• Collana: Ai, Memristors And Nonlinear Dynamics
• Anno: 2026
• Rilegatura: Hardback
• Pagine: 236 p.
• EAN: 9789819833580

Testo in English