Real-time control is a research area focused on developing algorithms and techniques for controlling systems in real-time, which means making decisions and taking actions quickly and accurately to respond to changing conditions or meet desired objectives. This research area is particularly relevant in the fields of automation, robotics, and process control, where timely and precise control is essential for achieving optimal performance and efficiency. Real-time control involves designing controllers that can process and react to sensor data and feedback information rapidly, often within milliseconds or microseconds. Researchers in this field explore various control strategies, such as feedback control, predictive control, and adaptive control, to ensure that systems operate smoothly and effectively in dynamic and unpredictable environments. Overall, the goal of real-time control research is to improve the speed, accuracy, and reliability of control systems to achieve better performance and enhance the overall operation of various systems and processes.