Welcome to Control Systems Laboratory Page!
We are an interdisciplinary research group advancing the frontiers of autonomous systems, advanced feedback theory, and intelligent automation. Our lab is based in the Department of Electrical and Computer Engineering.
The Control Systems Laboratory brings together researchers from control theory, robotics, computer science, and mechanical engineering to tackle complex engineering challenges that transcend traditional disciplinary boundaries. We focus on developing robust control frameworks, resilient estimation algorithms, and machine-learning-integrated feedback mechanisms to understand and optimize the behavior of complex dynamic systems.
Our research spans optimal control, cyber-physical system security, state estimation, and multi-agent coordination. We conduct high-fidelity simulations, develop theoretical architectures, and validate our methods on real-time hardware platforms to investigate core questions such as:
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How can autonomous systems maintain stability and performance under severe physical and cyber disturbances?
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How can dynamic state estimators be designed for complex, non-linear environments with uncertain noise characteristics?
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What algorithmic architectures enable resilient, distributed cooperation across fleets of unmanned vehicles and robotics platforms?
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How can physics-based control methodologies seamlessly integrate with modern data-driven learning techniques?
At the control systems lab, we foster an open-minded, hands-on, and collaborative research environment. We welcome inquiries from motivated students and researchers interested in joining our team or establishing new academic and industry partnerships.