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Constrained control and machine learning : emerging methodologies and applications /

This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and...

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Bibliographic Details
Other Authors: Franzè, Giuseppe (Editor), Fortino, Giancarlo, 1971- (Editor), Lucia, Walter (Editor), Zhou, MengChu (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2026]
Series:Internet of things,
Subjects:
Control theory.
Machine learning.
Théorie de la commande.
Apprentissage automatique.
Table of Contents:
  • Freeway Traffic Modelling
  • Safe Distributed Set-Based Planning in Autonomous Vehicles
  • The role of human motion models in learning-based social navigation systems
  • Autonomous Vehicle Platoons in Urban Road Networks
  • Delay Injection Attacks against Haptic Shared Control Steering Systems
  • Application of Deep Reinforcement Learning for Traffic Control of Road Intersection with Autonomous Vehicles
  • A Feedback-Linearized Model Predictive Control Strategy for Constrained Wheeled Mobile Robots
  • A resilient distributed architecture for UAV leader-follower formations
  • Automation and Robotics in Healthcare: Transforming Hospital Material Handling
  • Multi-Vehicle Localization by Distributed Moving Horizon Estimation over Sensor Networks
  • Conclusion.