Decentralized control is a research area within control theory that focuses on designing control systems where decision-making and control functions are distributed among multiple autonomous agents or nodes. In decentralized control systems, each agent or node has its own control objectives and constraints, and can communicate and interact with other agents to achieve a common goal. The main advantage of decentralized control is its scalability, robustness, and flexibility, as it allows for the coordination of large-scale systems without relying on a central controller. This research area is commonly applied in a wide range of fields such as robotics, communication networks, transportation systems, and smart grids.