8:00-8:50 | Breakfast |
8:50-9:00 | Welcome and Introduction |
Session I | Chair: Solmaz Kia, UC Irvine |
9:00-9:20 | Computing solutions to the polynomial-polynomial regulator problem Presenter: Nick Corbin (UC San Diego), Advisor: Boris Kramer
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9:20-9:40 | On the sub-Riemannian geometric structure of finite-time thermodynamic transitions Presenter: Jordi Ventura Siches (UC Irvine), Advisor: Tryphon T. Georgiou
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9:40-10:00 | Spectral methods for polynomial optimization Presenter: Elvira Moreno (Caltech), Advisor: Venkat Chandrasekaran
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10:00-10:20 | Recent advances in the study of fixed time stability Presenter: Michael Tang (UC San Diego), Advisor: Jorge I. Poveda
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10:20-10:40 | An iterative tangential interpolation framework for model reduction of MIMO systems Presenter: Jared Jonas (UC Santa Barbara), Advisor: Bassam Bamieh
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10:40-11:10 | Coffee Break |
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Session II | Chair: Paulo Tabuada, UCLA |
11:10-11:30 | Distributed optimization of the finite condition number of the Laplacian matrix Presenter: Yicheng Xu (UC Irvine), Advisor: Faryar Jabbari
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11:30-11:50 | Localization phenomena in large-scale networked systems: implications for fragility Presenter: Poorva Shukla (UC Irvine), Advisor: Bassam Bamieh
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11:50-12:10 | The price of simplicity: analyzing decoupled policies for multi-location inventory control Presenter: Vade Shah (UC Santa Barbara), Advisor: Jason Marden
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12:10-12:30 | Resource allocation with multi-team collaboration based on Hamilton’s rule Presenter: Riwa Karam (UC Irvine), Advisor: Magnus Egerstedt
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12:30-14:00 | Lunch |
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Session III | Chair: Ketan Savla, USC |
14:00-14:20 | Learning latent representations for control with provable safety and stability guarantees Presenter: Paul Lutkus and Kaiyuan Wang (USC), Advisors: Lars Lindemann and Stephen Tu
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14:20-14:40 | Linear semi-supervision for nonlinear, high-dimensional neural optimal control Presenter: Will Sharpless (UC San Diego), Advisor: Sylvia Herbert
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14:40-15:00 | Markov balance satisfaction improves performance in strictly batch offline imitation learning Presenter: Rishabh Agrawal (USC), Advisor: Rahul Jain
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15:00-15:20 | Analytical Lyapunov function discovery: a reinforcement learning based generative approach Presenter: Haohan Zou (UC San Diego), Advisor: Yuanyuan Shi
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15:20-15:50 | Coffee Break |
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Session IV | Chair: Erfan Nozari, UC Riverside |
15:50-16:10 | Reduced-order models and layered control architectures for safety-critical control: from walking, hopping to flying robots Presenter: Max Cohen (Caltech), Advisor: Aaron Ames
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16:10-16:30 | Economic MPC with a reference trajectory for optimal microgrid dispatch Presenter: Avik Ghosh (UC San Diego), Advisors: Jan Kleissl and Sonia MartĂnez
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16:30-16:50 | Safety under state uncertainty: robustifying control barrier functions Presenter: Rahal Nanayakkara (UCLA), Advisor: Paulo Tabuada
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16:50-17:10 | Frequency dynamics with inverters: proof of stabillizability and existence of Nash equilibrium Presenter: Paul Serna-Torre (UC San Diego), Advisor: Patricia Hidalgo-Gonzalez
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17:10-17:30 | Robust control barrier functions using uncertainty estimation with application to mobile robots Presenter: Ersin Das (Caltech), Advisor: Joel Burdick
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