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Publications associées (127)
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints
Colin Neil Jones, Bratislav Svetozarevic, Wenjie Xu
We study the problem of performance optimization of closed -loop control systems with unmodeled dynamics. Bayesian optimization (BO) has been demonstrated to be effective for improving closed -loop performance by automatically tuning controller gains or re ...
Elsevier Sci Ltd2024Data-Driven Control Synthesis using Koopman Operator: A Robust Approach
Alireza Karimi, Mert Eyuboglu, Nathan Russell Powell
This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...
2024Real-Time Localization for Closed-Loop Control of Assistive Furniture
Auke Ijspeert, Alexandre Massoud Alahi, Lixuan Tang, Anastasia Bolotnikova, Chuanfang Ning, George Adaimi
For people with limited mobility, navigating in cluttered indoor environment is challenging. In this work, we propose a mobile assistive furniture suite that is designed to ease the life of people with special needs in indoor movement. To enable intelligen ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
Shuqing Teresa Yeo, Amir Roshan Zamir, Oguzhan Fatih Kar, Zahra Sodagar
We propose a method for adapting neural networks to distribution shifts at test-time. In contrast to training-time robustness mechanisms that attempt to anticipate and counter the shift, we create a closed-loop system and make use of test-time feedback sig ...
Ieee Computer Soc2023