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@@ -41,7 +41,7 @@ This student-led course explores modern techniques for controlling — and learn
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| 5 | 09/19/2025 | Lecture - Guancheng "Ivan" Qiu | **Nonlinear** trajectory **optimization**; collocation; implicit integration | |
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| 6 | 09/26/2025 | **External seminar 2** - Henrique Ferrolho | Trajectory **optimization** on robots in Julia Robotics | |
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| 7 | 10/03/2025 | Lecture - Jouke van Westrenen | Stochastic optimal control, Linear Quadratic Gaussian (LQG), Kalman filtering, robust control under uncertainty, unscented optimal control; | |
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| 8 | 10/10/2025 | **External seminar 3** TBD (speaker to be confirmed) | Topology **optimization** | |
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| 8 | 10/10/2025 | Lecture - Kevin Wu | Distributed optimal control & multi-agent coordination; Consensus, distributed MPC, and optimization over graphs (ADMM) ||
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| 9 | 10/17/2025 | **External seminar 4** — François Pacaud | GPU-accelerated optimal control | |
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|10 | 10/24/2025 | Lecture - Michael Klamkin | Physics-Informed Neural Networks (PINNs): formulation & pitfalls | |
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|11 | 10/31/2025 | **External seminar 5** - Chris Rackauckas | Neural Differential Equations: PINNs + classical solvers | |

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