Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Angelo D. Bonzanini"'
Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c33dbee78e70d40cb459b720b50cd90
https://doi.org/10.1109/cdc51059.2022.9993131
https://doi.org/10.1109/cdc51059.2022.9993131
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24fee936cc8d71ce0fb7baaa50c77601
https://doi.org/10.23919/acc53348.2022.9867264
https://doi.org/10.23919/acc53348.2022.9867264
Publikováno v:
IFAC-PapersOnLine. 53:5279-5285
Atmospheric pressure plasma jets (APPJs) are increasingly used for biomedical applications. Reproducible and effective operation of APPJs hinges on controlling the nonlinear effects of plasma on a target substrate in the face of intrinsic variabiliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36d302fa176291a93266433b95e6206b
https://doi.org/10.1016/j.ifacol.2020.12.1208
https://doi.org/10.1016/j.ifacol.2020.12.1208
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d0c5dbad8b6c41f498d7a764db74e20
https://doi.org/10.1109/cdc45484.2021.9682990
https://doi.org/10.1109/cdc45484.2021.9682990
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 3:597-605
Real-time diagnostics of cold atmospheric plasma (CAP) sources can be challenging due to the requirement for expensive equipment and complicated analysis. Data analytics that rely on machine learning (ML) methods can help address this challenge. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c72c054d43f41124d99f6bd49480f9a
https://doi.org/10.1109/trpms.2019.2910220
https://doi.org/10.1109/trpms.2019.2910220
Publikováno v:
IFAC-PapersOnLine. 52:598-603
This paper presents a comparative study between two constraint-tightening approaches for tube-based stochastic nonlinear model predictive control (SNMPC) with and without terminal constraints. A simple constraint-tightening method based on the expone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ee2b01e9e668027dc6382c89f2edebf
https://doi.org/10.1016/j.ifacol.2019.06.128
https://doi.org/10.1016/j.ifacol.2019.06.128
Publikováno v:
Computers & Chemical Engineering. 162:107770
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cba3940a9c49668957bb3ff3e1b55d0
https://doi.org/10.1016/j.compchemeng.2022.107770
https://doi.org/10.1016/j.compchemeng.2022.107770
Publikováno v:
ACC
We consider a known system that operates in an unknown environment, which is discovered by sensing and affects the known system through constraints. However, sensing quality is typically dependent on system operation. Thus, the control decisions shou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::522b0e31c3ec3aa8b3f35368f18cd05a
https://doi.org/10.23919/acc50511.2021.9483203
https://doi.org/10.23919/acc50511.2021.9483203
Publikováno v:
CDC
The complex and uncertain dynamics of emerging systems pose several unique challenges that need to be overcome in order to design high-performance controllers. A key challenge is that safety is often achieved at the expense of closed-loop performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61d5cac654c872492d8cf8ddf86a4b9a
https://doi.org/10.1109/cdc42340.2020.9304310
https://doi.org/10.1109/cdc42340.2020.9304310
Publikováno v:
ACC
This paper presents a nonlinear model predictive control (NMPC) strategy for stochastic systems subject to chance constraints. The notion of stochastic tubes is extended to nonlinear systems to present a constraint tightening strategy that ensures st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a1019083a3104ce7ef29ba386701378
https://doi.org/10.23919/acc.2019.8814623
https://doi.org/10.23919/acc.2019.8814623