Bøger i Lecture Notes in Control and Information Sciences serien

1. Introduction.- 2. Fault Tolerance in Networked Control Systems by Flexible Task Assignment.- 3. Resilient Control under Denial-of-Service: Results and Research Directions.- 4. Stealthy False Data Injection Attacks in Feedback Systems Revisited.- 5. Detection of Attacks in Cyber-Physical Systems: Theory and Applications.- 6. Security Metrics for Control Systems.- 7. The Secure State Estimation Problem.- 8. A Survey on Watermark Design For Cyber-Physical Systems.- 9. Detection of Cyber-Attacks: a Multiplicative Watermarking Scheme.- 9. Differentially Private Anomaly Detection for Interconnected Systems.- 10. Remote State Estimation in the Presence of an Eavesdropper.- 11. Secure Networked Control Systems Design using semi-homomorphic Encryption.- 12. Deception-As-Defense Framework for Cyber-Physical Systems.- 13. Cyber Risk: CPS vs. ITS.- 14. Cyber Insurance.- 15. Conclusions.

Distributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal. It provides novel solutions to foundational coordination problems, including distributed algorithms to make quadrotor helicopters rendezvous and to make ground vehicles move in formation along circles or straight lines. The majority of the algorithms presented in this book can be implemented using on-board cameras.The book begins with an introduction to coordination problems, such as rendezvous of flying robots, and modelling. It then provides a solid theoretical background in basic stability, graph theory and control primitives. The book discusses the algorithmic solutions for numerous distributed control problems, focusing primarily on flying robotics and kinematic unicycles. Finally, the book looks to the future, and suggests areas discussed which could be pursued in further research.This book will provide practitioners, researchers and students in the field of control and robotics new insights in distributed multi-agent systems.

This monograph is focused on control law design methods for asymptotic tracking and disturbance rejection in the presence of uncertainties. The methods are based on adaptive implementation of the Internal Model Principle (IMP). The monograph shows how this principle can be applied to the problems of asymptotic rejection/tracking of a priori uncertain exogenous signals for linear and nonlinear plants with known and unknown parameters. The book begins by introducing the problems of adaptive control, the challenges that are faced, modern methods and an overview of the IMP. It then introduces special observers for uncertain exogeneous signals affecting linear and nonlinear systems with known and unknown parameters. The basic algorithms of adaptation applied to the canonical closed-loop error models are presented. The authors then address the systematic design of adaptive systems for asymptotic rejection/tracking of a priori uncertain exosignals. The monograph also discusses the adaptive rejection/tracking of a priori uncertain exogenous signals in systems with input delay, the problems of performance improvement in disturbance rejection and reference tracking and the issue of robustness of closed-loop systems. Adaptive Regulation provides a systematic discussion of the IMP applied to a variety of control problems, making it of interest to researchers and industrial practitioners.