Control Engineering

Control engineering is a field of study that involves analyzing and designing how systems behave using mathematical models. It's relevant to various mechanical and electrical systems, like airplanes, drones, hard drives, trains, elevators, and more. With the rise of real-time communication technology and the proliferation of IoT devices, there's a need to develop a foundational theory for distributed control instead of central control.
Furthermore, as we experience the expansion of high-speed communication networks that facilitate rapid information exchange, we can even apply control concepts to social systems. However, it's important to note that social systems consist of humans who don't behave like machines; they autonomously adapt to their surroundings. Consequently, it's challenging to analyze and design their behavior using traditional control theory.
To address these challenges, my focus is on utilizing multi-agent and game-theoretic approaches. Specifically, I'm involved in developing methods for decentralized state estimation and designing objective functions. Additionally, I have a keen interest in randomization techniques for control and optimization, and my team has already introduced several innovative techniques for tackling complex optimization and control problems.