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Explores the significance of modeling and predicting uncertain environments for ensuring safe and high-performance autonomy in modern autonomous systems.
Focuses on designing reduced-order observers in multivariable control systems, emphasizing the importance of observers and eigenvalue assignment in controller design.
Explores protein aggregation control through optimal strategies, inhibitors, and spatial regulation using liquid compartments, shedding light on drug interventions and aggregate dynamics.
