Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Dominic Liao-McPherson"'
Publikováno v:
IEEE Transactions on Automatic Control. :1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e353b8c44407fe89276b512f696c43d
https://doi.org/10.1109/tac.2022.3216967
https://doi.org/10.1109/tac.2022.3216967
Publikováno v:
Electric Power Systems Research, 212
In this paper, we propose a combined Online Feedback Optimization (OFO) and dynamic estimation approach for a real-time power grid operation under time-varying conditions. A dynamic estimation uses grid measurements to generate the information requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::607be3436401be31d2145538140739a0
https://hdl.handle.net/20.500.11850/561005
https://hdl.handle.net/20.500.11850/561005
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d46a50f86378c0bf8193badf811138a7
https://doi.org/10.23919/acc53348.2022.9867552
https://doi.org/10.23919/acc53348.2022.9867552
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC)
Distributed energy storage and flexible loads are essential tools for ensuring stable and robust operation of the power grid in spite of the challenges arising from the integration of volatile renewable energy generation and increasing peak loads due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f6feac6e637d07bf8905960d94863c8
http://arxiv.org/abs/2206.01431
http://arxiv.org/abs/2206.01431
Autor:
Ken Butts, Ilya Kolmanovsky, Shinhoon Kim, Dominic Liao-McPherson, Masanori Shimada, Mike Huang
Publikováno v:
International Journal of Robust and Nonlinear Control. 30:7446-7477
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b43a98c2a90a61bb275b660d16170a35
https://doi.org/10.1002/rnc.5188
https://doi.org/10.1002/rnc.5188
Publikováno v:
IEEE Transactions on Control Systems Technology. 28:1711-1726
Incorporating traffic information in power management optimization process for electrified and connected vehicles offers opportunities for improving fuel economy. Integrating the management of thermal load (such as those used for heating, ventilation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17ad97f4f73484b1d774822f09415c2e
https://doi.org/10.1109/tcst.2019.2923792
https://doi.org/10.1109/tcst.2019.2923792
Publikováno v:
IEEE Control Systems Letters, 6
Iterative learning control (ILC) is a control strategy for repetitive tasks wherein information from previous runs is leveraged to improve future performance. Optimization-based ILC (OB-ILC) is a powerful design framework for constrained ILC where me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abece040ff7bd2bf3ee3adaa5a990b87
http://arxiv.org/abs/2203.05291
http://arxiv.org/abs/2203.05291
Publikováno v:
IEEE Transactions on Automatic Control. 64:1932-1946
This paper introduces a continuous-time constrained control strategy, which mimics the behavior of a traditional model predictive control scheme using dynamic feedback. The approach is based on the idea that the solution of the optimal control proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc79841b95a87ecf9e531b3f9c5e726
https://doi.org/10.1109/tac.2018.2867359
https://doi.org/10.1109/tac.2018.2867359
Publikováno v:
ACC
Time-distributed optimization is a suboptimal implementation strategy for reducing the computational effort required to implement Model Predictive Control (MPC). Time-distributed MPC (TDMPC) methods maintain a running estimate of the solution to an O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aaf9be9c5dde607c98db38eedfb1dc0
https://doi.org/10.23919/acc50511.2021.9482879
https://doi.org/10.23919/acc50511.2021.9482879
Publikováno v:
ACC
This paper introduces the Feasibility Governor (FG): an add-on unit that enlarges the region of attraction of Model Predictive Control by manipulating the reference to ensure that the underlying optimal control problem remains feasible. The FG is dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cfb1b8b8ff4476fa422a0ea1e53496d
http://arxiv.org/abs/2103.05130
http://arxiv.org/abs/2103.05130