Networked control systems are ubiquitous in industry and daily life, such as teleoperation, power systems, and transportation systems. In wireless communication networks, which are widely used in sensor networks and multi-agent systems, communication channels naturally suffer from interference, fading, and transmission noises. Since control is often used in safety or mission-critical applications, uncertainties in communication networks must be taken into consideration to see how they affect the stability and performance of networked control systems.

This book focuses on studying the effect of channel fading, packet drops, and transmission delay on the performance of networked control systems (NCSs) and multi-agent systems (MASs). By integrating communication and control theory, the authors present fundamental results concerning the stabilization of NCSs over power-constrained fading channels/Gaussian finite-state Markov channels, the linear-quadratic optimal control of NCSs with random input gains, the optimal state estimation with intermittent observations, the consensus of MASs with communication delay and packet dropouts, and the synchronization of delayed Vicsek model.

The book aims to provide a unified platform for understanding the analysis and design of NCSs and MASs for researchers working in these areas. The book provides advanced topics on control theory; readers will require preliminary knowledge of linear system theory and matrix analysis.