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Miscellaneous
Transportation Networks for Research
Note
DOI: No datasets have been producedhttps://github.com/bstabler/TransportationNetworks;Website,AssocPub;https://doi.org/10.1109/ITSC57777.2023.10421926,repository;GitHub
Miscellaneous
Sistema energetico automatizzato end-to-end
Sistemi di energia
Data for Publication Deployment of an Online Feedback Optimization Controller for Reactive Power Flow Optimization in a Distribution Grid
PRJ;Florian Doerfler,DOI: 10.3929/ethz-b-000645998,https://doi.org/10.3929/ethz-b-000645998;Website,AssocPub;https://doi.org/10.1109/ISGTEUROPE56780.2023.10408057,repository;ETHZ Research Collection
Miscellaneous
Sistema energetico automatizzato end-to-end
Sistemi di energia
Code for publication Real-time Curative Actions for Power Systems via Online Feedback Optimization
PRJ;Florian Doerfler,DOI: 10.3929/ethz-b-000645997,https://doi.org/10.3929/ethz-b-000645997;Website,AssocPub;https://doi.org/10.1109/PowerTech55446.2023.10202825,repository;ETHZ Research Collection
Miscellaneous
Code for Model-Free Nonlinear Feedback Optimization
Note
DOI: 10.3929/ethz-b-000646002https://doi.org/10.3929/ethz-b-000646002;Website,AssocPub;https://doi.org/10.1109/TAC.2023.3341752,repository;ETHZ Research Collection
PRJ;Nikolas Geroliminis,DOI: No datasets have been used or produced,https://www.gitlab.ethz.ch/elokdae/dynamic-population-games;Website,AssocPub;https://doi.org/10.1109/LCSYS.2024.3406947,repository;ETH Gitlab
Miscellaneous
Control in an uncertain world
Fondamenti teorici
Software for simulation study in A Dual System-Level Parameterization for Identification from Closed-Loop Data CDC 2023
DOI: Not yet assigned by ETH libraryhttps://www.research-collection.ethz.ch/handle/20.500.11850/646090;Website,AssocPub;https://doi.org/10.1016/j.apenergy.2023.122101,repository;ETHZ Research Collection
Miscellaneous
Control in an uncertain world
Fondamenti teorici
Software for examples of ‘Peak Estimation of Rational Systems using Convex Optimization’
DOI: 10.3929/ethz-b-000641430https://www.research-collection.ethz.ch/handle/20.500.11850/663423;Website,AssocPub;https://doi.org/https://doi.org/10.3929/ethz-b-000646581,repository;ETHZ Research Collection
Miscellaneous
Software for simulation study in Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
DOI: 10.3929/ethz-b-000690413https://www.research-collection.ethz.ch/handle/20.500.11850/690413;Website,AssocPub;https://doi.org/10.23919/ECC64448.2024.10590823,repository;ETHZ Research Collection
PRJ;Roy Smith,DOI: No DOI assigned,https://github.com/dkouzoup/ms-eetc;Website,AssocPub;https://doi.org/10.1016/j.trc.2023.104170,repository;GitHub (code and data)
Miscellaneous
Control in a data rich world
Fondamenti teorici
Code for On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
PRJ;Andreas Krause,DOI: No DOI assigned yet (in progress),https://www.research-collection.ethz.ch/handle/20.500.11850/649545;Website,AssocPub;https://doi.org/https://doi.org/10.1109/CDC49753.2023.10383607,repository;ETHZ Research Collection
Miscellaneous
Control in a data rich world
Fondamenti teorici
Code for Online Linear Quadratic Tracking with Regret Guarantees
PRJ;Andreas Krause,DOI: No DOI assigned yet (in progress),https://www.research-collection.ethz.ch/handle/20.500.11850/649544;Website,AssocPub;https://doi.org/https://doi.org/10.1109/LCSYS.2023.3345809,repository;ETHZ Research Collection
Miscellaneous
Control in a data rich world
Fondamenti teorici
Code for Predictive Linear Online Tracking foor Unknown Targets
PRJ;Andreas Krause,RG;Lygeros group,DOI: No DOI assigned yet (in progress),https://gitlab.nccr-automation.ch/akarapetyan/plot;Website,AssocPub;https://doi.org/https://doi.org/10.48550/arXiv.2402.10036,repository;NCCR Automation GitLab
PRJ;Colin Jones,RG;Jones group,DOI: No DOI assigned yet (in progress),https://gitlab.nccr-automation.ch/loris.dinatale/efficient-drl;Website,AssocPub;https://doi.org/10.1109/CDC49753.2023.10384283,repository;NCCR Automation GitLab
Miscellaneous
NEST Open Building Data for Energy Demand and User Practice