Distributed control is a research area in the field of control systems engineering that focuses on the design, analysis, and implementation of control systems that are decentralized and spread out across multiple interconnected components. This approach allows for increased flexibility, scalability, and robustness in controlling complex systems that are composed of multiple subsystems or agents. Key topics in distributed control research include communication protocols, coordination algorithms, consensus algorithms, and decentralized decision-making strategies. Applications of distributed control can be found in various fields such as robotics, autonomous systems, energy systems, and networked control systems. Overall, distributed control research aims to develop innovative control strategies that enable efficient and reliable operation of large-scale systems by distributing the control tasks among multiple agents or subsystems.