Our world is rapidly turning into a highly networked world. The underlying theories and applications of dynamic and complex networks are experiencing a steady increase in growing number of scientific and engineering disciplines. This is producing a profound impact on society and the creation of new exciting opportunities for researchers and industrial developers worldwide. Distributed dynamic systems are large-scale systems comprised of numerous subsystems being interconnected and coordinated under networked environments from broad areas; such as communication networks, computer networks, power networks, biological networks, and even social networks. Complexity usually arises due to the nonlinearities, distributed properties, and high order. It is responsible and challenging for the control community to develop suitable technologies for modeling, analyzing, and controlling these systems.

This special issue aims to provide a forum to discuss the recent advances on decentralized modeling, simulation, analysis, or synthesis toward various distributed dynamic systems. Articles originated from solid research tracks and engineering backgrounds are particularly welcomed.

Potential topics include, but are not limited to:

• Aerospace and aviation applications
• Control and synchronization in distributed interconnected systems (e.g., electric power systems and robotic systems)
• Decentralized state estimation
• Control of cooperative behaviors in multiple autonomous systems (e.g., formation, containment, and flocking)
• Agent-based simulation
• Algorithms for distributed information processing in decentralized control systems
• Information and communications technology from control-theoretical perspective
• Multimode, multilink, and multitime period networks for decentralized control of distributed-interconnected dynamical systems