Moment-sum-of-squares optimization for network dynamics
PI: Giovanni Fantuzzi
Date: 2026 – 2028
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Renormalized Solutions in der Optimalsteuerung von Evolutionsgleichungen
PI: Hannes Meinlschmidt
Date: 2025 – 2028
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CoDeFeL. Control for Deep and Federated Learning
PI: Enrique Zuazua
Date: 2024 – 2029
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Hybrid Control and Estimation of Semi-Dissipative Systems: Analysis, Computation, and Machine Learning
PI: Enrique Zuazua
Date: 2024 – 2027
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Control and numerical analysis of complex systems
PI: Enrique Zuazua
Date: 2024 – 2025
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Control of multi-particle systems, mean-field limits, and applications to deep learning
Date: 2023 – 2024
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CIN-PDE: Control, inversion and numerics for Partial Differential Equations
PI: Enrique Zuazua, Zhen Lei
Date: 2022 – 2025
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DTN ModConFlex. Modelling and control of flexible structures interacting with fluids
Date: 2023 – 2027
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BaCaTeC. Control and Machine Learning
PI: Enrique Zuazua, Miroslav Krstic
Date: 2023 – 2025
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Modeling, Robust Design and Control of Gas Networks
Date: 2022 – now
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Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks
Date: 2022 – 2024
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Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks
Date: 2022 – 2024
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BaCaTeC. Endowing Artificial Intelligence with Control-Theoretic Guarantees: Data-Based Optimization in Real Time for Dynamic Systems
Date: 2021 – 2022
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SFB Transregio 154
Date: 2018 – 2026
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sherpa.ai | Technological transfer
Date: 2021 – now
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e-Learning Fak. Nat.
Date: 2019 – now
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DFG-Priority Programme SPP 1679
Date: 2017 – 2019
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Chair for Dynamics, Control, Machine Learning and Numerics – AvH. Alexander von Humboldt Professorship
PI: Enrique Zuazua
Date: 2019 – now
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