Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Basil Kouvaritakis"'
Autor:
Mark Cannon, Basil Kouvaritakis
Publikováno v:
Encyclopedia of Systems and Control ISBN: 9781447151029
Encyclopedia of Systems and Control
Encyclopedia of Systems and Control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d8821c99175b38a990f537f38413ca1
https://doi.org/10.1007/978-3-030-44184-5_7
https://doi.org/10.1007/978-3-030-44184-5_7
Publikováno v:
Scopus-Elsevier
Optimal robust MPC for constrained linear systems that are subject to additive uncertainty requires a closed loop optimization with computation that rises exponentially with the prediction horizon, N. This was overcome by parameterized tube MPC (PTMP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::220887e453171e93d9683d76603adde6
https://doi.org/10.1016/j.automatica.2015.12.032
https://doi.org/10.1016/j.automatica.2015.12.032
Publikováno v:
International Journal of Robust and Nonlinear Control. 26:3209-3231
This paper proposes an online active set strategy for computing the dynamic programming solution to a min-max robust optimal control problem with quadratic H1 stage cost for linear systems with linear state and input constraints in the presence of bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8c2df7deef1605919481cb9e4d71df7
https://doi.org/10.1002/rnc.3501
https://doi.org/10.1002/rnc.3501
Publikováno v:
Automatica. 61:89-96
A cooperative distributed stochastic model predictive control (CDSMPC) algorithm is given for multiple dynamically decoupled subsystems with additive stochastic disturbances and coupled probabilistic constraints, for which states are not measurable.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6556a79899f5832cb88f22248a621365
https://doi.org/10.1016/j.automatica.2015.07.025
https://doi.org/10.1016/j.automatica.2015.07.025
Publikováno v:
Systems & Control Letters. 81:34-41
Polytopic dynamics have been introduced into the predictions in Model Predictive Control (MPC) and have been optimized so as to maximize invariant ellipsoids for systems subject to multiplicative uncertainty. This work was recently extended to the ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b82676bacbad007df5068fb2410fbfb
https://doi.org/10.1016/j.sysconle.2015.03.008
https://doi.org/10.1016/j.sysconle.2015.03.008
Publikováno v:
IEEE Transactions on Automatic Control. 60:1087-1092
Recently, a technical note [4] ensured recursive feasibility in robust model predictive control with multiplicative uncertainty by applying terminal constraints to the degrees of freedom available to the controller while constructing polytopic tube c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3177d5c80249e0a474c15f142ce15b6
https://doi.org/10.1109/tac.2014.2336358
https://doi.org/10.1109/tac.2014.2336358
Publikováno v:
IEEE Transactions on Control Systems Technology. 23:290-296
Model predictive control (MPC) is receiving attention in wind turbine controller design due to its ability to explicitly handle state and input constraints. Robust model predictive control (RMPC) additionally accounts for uncertainty in the future ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf9e0b53848e3bee2dfd56b109a01474
https://doi.org/10.1109/tcst.2014.2310513
https://doi.org/10.1109/tcst.2014.2310513
Autor:
Basil Kouvaritakis, Mark Cannon
For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, cons
Publikováno v:
International Journal of Systems Science. 44:1344-1353
The optimisation of predicted control policies in model predictive control (MPC) enables the use of information on uncertainty that, though not available at current time, will be so at a future point on the prediction horizon. Optimisation over feedb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42c259cbc4cc6b35874e4d907d4a4346
https://doi.org/10.1080/00207721.2012.737487
https://doi.org/10.1080/00207721.2012.737487
Publikováno v:
IEEE Transactions on Control Systems Technology. 21:891-898
Inertia friction welding (IFW) is a rotational pressure welding process and is a technique commonly used in the production of aircraft engine shafts. With the ever-increasing achievable production tolerances in terms of the upset and angular orientat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57418f9711489b695c9a7babd2343ca9
https://doi.org/10.1109/tcst.2012.2189570
https://doi.org/10.1109/tcst.2012.2189570