Zobrazeno 1 - 10
of 270
pro vyhledávání: '"Daniel E. Quevedo"'
Autor:
Roky Baidya, Ricardo P. Aguilera, Pablo Acuna, Tobias Geyer, Ramon A. Delgado, Daniel E. Quevedo, Hendrik du Toit Mouton
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 1, Pp 284-297 (2020)
Recently, an efficient multistep direct model predictive control (MPC) scheme for power converters has been proposed. It relies on the Sphere Decoding Algorithm (SDA) to solve the associated long-horizon optimal control problem. Since the SDA evaluat
Externí odkaz:
https://doaj.org/article/305b0b7168384fcbafed4f3536898843
Publikováno v:
IEEE Transactions on Automatic Control. 68:3362-3376
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb4401c5d964736585194706531eefd3
https://doi.org/10.1109/tac.2022.3190061
https://doi.org/10.1109/tac.2022.3190061
Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:2565-2573
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::335753c206482bb0f00b19e6d67e1112
https://doi.org/10.1109/tii.2022.3178806
https://doi.org/10.1109/tii.2022.3178806
Publikováno v:
IEEE Control Systems Letters. 7:1387-1392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb461350d808fad5e5a4c7a8ca49403
https://doi.org/10.1109/lcsys.2022.3223799
https://doi.org/10.1109/lcsys.2022.3223799
Publikováno v:
IEEE Transactions on Automatic Control. 67:5416-5423
We investigate the implementation of a sparsity promoting hands-off control scheme using the alternating direction method of multiplies (ADMM). In order to minimize the numerical control effort along with the actuation one, only a single ADMM iterati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66096399dcd5b948457786daf3c7f6f
https://doi.org/10.1109/tac.2021.3121255
https://doi.org/10.1109/tac.2021.3121255
Publikováno v:
IEEE Transactions on Automatic Control. 67:5400-5407
We investigate a novel anytime algorithm for wireless networked control with random dropouts. The controller computes sequences of tentative future control commands using time-varying (Markovian) computation resources. The sensor-controller and contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::236002185590283c03d6707941655020
https://doi.org/10.1109/tac.2021.3115422
https://doi.org/10.1109/tac.2021.3115422
Publikováno v:
IEEE Transactions on Automatic Control. 67:4955-4962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::412e90be65dc83b4766ec8b2fc5a08a1
https://doi.org/10.1109/tac.2022.3169839
https://doi.org/10.1109/tac.2022.3169839
Publikováno v:
IEEE Transactions on Automatic Control. 67:4131-4137
Solving optimization problems in multi-agent systems typically involves information exchange between agents using wireless networks with evolving topologies. The obtained solutions should be robust to possibly unbounded information delays and errors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::741d0c380381032d47af8ab725163198
https://doi.org/10.1109/tac.2021.3108492
https://doi.org/10.1109/tac.2021.3108492
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:3203-3212
This paper presents a resilient control strategy for affine nonlinear cyber-physical systems (CPSs) under both actuator and sensor attacks. Firstly, the attacked CPSs are simplified through feedback linearization control. Then, for the simplified mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::552fcfa0f45dd49d82db56c70e9464f4
https://doi.org/10.1109/tii.2021.3108876
https://doi.org/10.1109/tii.2021.3108876
Publikováno v:
IEEE Transactions on Automatic Control. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8344214d263382368fbe022d93d2bd5a
https://doi.org/10.1109/tac.2022.3202981
https://doi.org/10.1109/tac.2022.3202981