Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Terrence Skibik"'
Autor:
Terrence Skibik, Marco M. Nicotra
Publikováno v:
IEEE Control Systems Letters. 7:235-240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::124a9a61fa3c5ca7bd3e67481fd09c0d
https://doi.org/10.1109/lcsys.2022.3186631
https://doi.org/10.1109/lcsys.2022.3186631
A Feasibility Governor for Enlarging the Region of Attraction of Linear Model Predictive Controllers
Publikováno v:
IEEE Transactions on Automatic Control. 67:5501-5508
This paper proposes a method for enlarging the region of attraction of Linear Model Predictive Controllers (MPC) when tracking piecewise-constant references in the presence of pointwise-in-time constraints. It consists of an add-on unit, the Feasibil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b62c0dcf76c04318adaa4f7effbc65d
https://doi.org/10.1109/tac.2021.3123224
https://doi.org/10.1109/tac.2021.3123224
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:
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:
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
Autor:
Jordan M. Leung, Marco M. Nicotra, Dominic Liao-Mc Pherson, Terrence Skibik, Ilya Kolmanovsky
Time-distributed Optimization (TDO) is an approach for reducing the computational burden of Model Predictive Control (MPC). When using TDO, optimization iterations are distributed over time by maintaining a running solution estimate and updating it a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eecdcbcdb08a6393709e1d9cfde6257
http://arxiv.org/abs/2009.12294
http://arxiv.org/abs/2009.12294
Autor:
Terrence Skibik, Ambrose A. Adegbege
Publikováno v:
CDC
Recent advances in embedded model predictive control (MPC) have paved the way for MPC technology in highspeed systems and resource-constrained applications. In this paper, we exploit analog circuit emulation of constrained Linear Quadratic (LQ) probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9921615bf4e8f681701a4a4172727382
https://doi.org/10.1109/cdc.2018.8619383
https://doi.org/10.1109/cdc.2018.8619383
Autor:
Terrence Skibik, Ambrose A. Adegbege
Publikováno v:
ACC
This work proposes an analog very large scale integration (VLSI) circuit for ultra fast embedded Model Predictive Control (MPC). The proposed architecture emulates a fixed-point iterative scheme for quadratic programming that can be regarded as a Eul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bce4a4aa186daa8ab6519e5338f67ef3
https://doi.org/10.23919/acc.2018.8431320
https://doi.org/10.23919/acc.2018.8431320