Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Thomas A. Badgwell"'
Autor:
Ali Mesbah, Kim P. Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdaa9e9bac1f520ab5d74b6b08d8ab02
https://doi.org/10.23919/acc53348.2022.9867643
https://doi.org/10.23919/acc53348.2022.9867643
Publikováno v:
Computers & Chemical Engineering. 127:282-294
This paper provides an introduction to Reinforcement Learning (RL) technology, summarizes recent developments in this area, and discusses their potential implications for the field of process control, and more generally, of operational decision-makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee3461496032211488e4214a14754933
https://doi.org/10.1016/j.compchemeng.2019.05.029
https://doi.org/10.1016/j.compchemeng.2019.05.029
Autor:
Thomas A. Badgwell, S. Joe Qin
Publikováno v:
Encyclopedia of Systems and Control ISBN: 9781447151029
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a90a3f2ed4dc29277a3635967e684aa
https://doi.org/10.1007/978-3-030-44184-5_8
https://doi.org/10.1007/978-3-030-44184-5_8
Publikováno v:
Computers & Chemical Engineering. 146:107225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bcf01ce1c51c36ce56e1d1bf840bb5f
https://doi.org/10.1016/j.compchemeng.2021.107225
https://doi.org/10.1016/j.compchemeng.2021.107225
Publikováno v:
Day 2 Tue, September 25, 2018.
While drilling rig control systems have been deployed for many years, a 2016 study [1] identified significant room for improvement in three areas: auto-drillers, top drive torsional damping systems, and heave compensation systems. In particular, in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12bf832f58b060da73333b6bff36e0ee
https://doi.org/10.2118/191417-ms
https://doi.org/10.2118/191417-ms
Autor:
Thomas A. Badgwell, S. Joe Qin
Publikováno v:
Control Engineering Practice. 11:733-764
This paper provides an overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is presented first, followed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac6ce5f8e9da008a151e5a5eb17bc803
https://doi.org/10.1016/s0967-0661(02)00186-7
https://doi.org/10.1016/s0967-0661(02)00186-7
Autor:
Kenneth R. Muske, Thomas A. Badgwell
Publikováno v:
Journal of Process Control. 12:617-632
An offset-free controller is one that drives controlled outputs to their desired targets at steady state. In the linear model predictive control (MPC) framework, offset-free control is usually achieved by adding step disturbances to the process model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23ab54ce8bc053f0f07d23da899a0fc
https://doi.org/10.1016/s0959-1524(01)00051-8
https://doi.org/10.1016/s0959-1524(01)00051-8
Autor:
Thomas A. Badgwell, Weichang Li
Publikováno v:
CDC
In this paper we propose a structurally constrained expectation-maximization (EM) algorithm for estimating noise covariances in state-space models, for the purpose of state prediction and control. More specifically, we generalize the problem of covar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3234b18195995b411cf20871087d03b
https://doi.org/10.1109/cdc.2014.7039397
https://doi.org/10.1109/cdc.2014.7039397
Autor:
Thomas A. Badgwell, Sameer Ralhan
Publikováno v:
Computers & Chemical Engineering. 24:2533-2544
This paper presents a robust model predictive control (MPC) algorithm for stable, linear plants described by a state-space model. Model uncertainty is parameterized by an infinite-dimensional set of possible plants. Robust stability is achieved by ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ecedaa5e8a8930b8b4ccc7ba28aa38b
https://doi.org/10.1016/s0098-1354(00)00612-8
https://doi.org/10.1016/s0098-1354(00)00612-8
Autor:
Thomas A. Badgwell, Sameer Ralhan
Publikováno v:
Industrial & Engineering Chemistry Research. 39:2981-2991
This paper presents two robust model predictive control (MPC) algorithms for linear integrating plants described by a state-space model. The first formulation focuses on steady-state offset whereas the second minimizes output deviations over the enti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e9f928ad40938654cb5cc7a9970c7c8
https://doi.org/10.1021/ie990688s
https://doi.org/10.1021/ie990688s