Safe Data-Driven Control for Cyber-Physical Systems
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Cyber-physical systems, which integrate computation, networking, and physical processes, apply to various sectors like autonomous vehicles and smart grids. As these systems become more complex and interconnected, ensuring their safety while achieving high performance emerges as a critical challenge. Traditional model-based control methods often struggle to cope with uncertainties, unmodeled dynamics, and evolving environments. Alternatively, data-driven control leverages real-time data to adapt and optimize control strategies. The use of data-driven methods raises safety concerns, leading to g...
Cyber-physical systems, which integrate computation, networking, and physical processes, apply to various sectors like autonomous vehicles and smart grids. As these systems become more complex and interconnected, ensuring their safety while achieving high performance emerges as a critical challenge. Traditional model-based control methods often struggle to cope with uncertainties, unmodeled dynamics, and evolving environments. Alternatively, data-driven control leverages real-time data to adapt and optimize control strategies. The use of data-driven methods raises safety concerns, leading to growing research focused on safe data driven control. Safe Data-Driven Control for Cyber-Physical Systems explores the integration of information and communication technologies (ICT) in control-command systems. It examines how this convergence leads to the emergence of new cyber-physical systems for enhanced control, safety, and security. This book covers topics such as threat management, data privacy, and machine learning, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and data scientists.
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