Hybrid Control and Estimation of Semi-Dissipative Systems: Analysis, Computation, and Machine Learning
- Project/grant agreement No.: FA8655-24-1-7027
- Principal Investigators (PI): Prof. Enrique Zuazua
- Host Institution: European Office of Aerospace Research and Development (EOARD), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany)
- Duration: 3 years (June 15, 2024 – June 14, 2027)
Description
The proposed research is aimed at developing a rigorous theoretical and computational framework for hybrid control and optimization of fluid transport and mixing problems, combining applied mathematics and machine learning (ML) techniques. Understanding mass transport, fluid mixing, and their asymptotic behaviors via active control of the flow advection leads to fundamental, yet highly challenging problems often found in industrial and engineering applications. Applications include, but are certainly not limited to, ventilation in energy efficient buildings, mixing for bioorganic nutrient conversion, and activated sludge systems in industrial wastewater treatment.
Principal Investigators
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