Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Murad Abu-Khalaf"'
Autor:
Teddy Ort, Nevan Hanumara, Amado Antonini, Brandon Araki, Murad Abu-Khalaf, Michael Detienne, David Hagan, Kimberly Jung, Aaron Ramirez, Shakti Shaligram, Coby Unger, Albert Kwon, Alex Slocum, Christoph Nabzdyk, Dirk Varelmann, Jay Connor, Daniela Rus, Alexander Slocum
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
MIT's Emergency-Vent Project was launched in March 2020 to develop safe guidance and a reference design for a bridge ventilator that could be rapidly produced in a distributed manner worldwide. The system uses a novel servo-based robotic gripper to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5355501ffc448ec6e19040562256c2c
https://pubmed.ncbi.nlm.nih.gov/34892330
https://pubmed.ncbi.nlm.nih.gov/34892330
Autor:
Suat Gumussoy, Murad Abu-Khalaf
The solvability of a delay differential equation arising in the construction of quadratic cost functionals, i.e. Lyapunov functionals, for a linear time-delay system with a constant and a distributed delay is investigated. We present a delay-free aux
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33fe5b8b8d53e14a6a8b68c6843a1aa6
http://arxiv.org/abs/1804.06713
http://arxiv.org/abs/1804.06713
Publikováno v:
Automatica. 45:477-484
In this paper we propose a new scheme based on adaptive critics for finding online the state feedback, infinite horizon, optimal control solution of linear continuous-time systems using only partial knowledge regarding the system dynamics. In other w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6d34b3668bcf3900885ce53d9e145ed
https://doi.org/10.1016/j.automatica.2008.08.017
https://doi.org/10.1016/j.automatica.2008.08.017
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 38:943-949
Convergence of the value-iteration-based heuristic dynamic programming (HDP) algorithm is proven in the case of general nonlinear systems. That is, it is shown that HDP converges to the optimal control and the optimal value function that solves the H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75538e7ea23fd0a7355620088c17561c
https://doi.org/10.1109/tsmcb.2008.926614
https://doi.org/10.1109/tsmcb.2008.926614
Publikováno v:
Transactions of the Institute of Measurement and Control. 30:207-223
Control system theory has been based on certain well understood and accepted techniques, such as transfer function-based methods, adaptive control, robust control, non-linear systems theory, state-space methods, etc. However, recently, the hypothesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec708a89badc10b1449d44ddb68329f9
https://doi.org/10.1177/0142331207088188
https://doi.org/10.1177/0142331207088188
Publikováno v:
IEEE Transactions on Neural Networks. 19:1243-1252
In this paper, neural networks are used along with two-player policy iterations to solve for the feedback strategies of a continuous-time zero-sum game that appears in L2-gain optimal control, suboptimal Hinfin control, of nonlinear systems affine in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60ee30d0d77e8d014e8bf83929150d32
https://doi.org/10.1109/tnn.2008.2000204
https://doi.org/10.1109/tnn.2008.2000204
Publikováno v:
International Journal of Systems Science. 38:1029-1041
In this article, neural networks are used to approximately solve the finite-horizon optimal H∞ state feedback control problem. The method is based on solving a related Hamilton Jacobi Isaacs equation of the corresponding finite-horizon zero-sum gam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f9c4bc69dd821511b06ab1ab91186b9
https://doi.org/10.1080/00207720701709044
https://doi.org/10.1080/00207720701709044
Publikováno v:
IEEE Transactions on Neural Networks. 18:1725-1737
In this paper, fixed-final time-constrained optimal control laws using neural networks (NNS) to solve Hamilton-Jacobi-Bellman (HJB) equations for general affine in the constrained nonlinear systems are proposed. An NN is used to approximate the time-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ff43af8c041420e213d74d984cba3a
https://doi.org/10.1109/tnn.2007.905848
https://doi.org/10.1109/tnn.2007.905848
Publikováno v:
Automatica. 43:1597-1604
This paper presents a simplified parameterization of all H∞ static state-feedback controllers in terms of a single algebraic Riccati equation and a free parameter matrix. As a special case, necessary and sufficient conditions for the existence of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3162c7488e2fefc8297ed1b3dc46330e
https://doi.org/10.1016/j.automatica.2007.02.005
https://doi.org/10.1016/j.automatica.2007.02.005
Publikováno v:
Automatica. 43:473-481
In this paper, the optimal strategies for discrete-time linear system quadratic zero-sum games related to the H-infinity optimal control problem are solved in forward time without knowing the system dynamical matrices. The idea is to solve for an act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580649ce45a798abf419f3722e437f2f
https://doi.org/10.1016/j.automatica.2006.09.019
https://doi.org/10.1016/j.automatica.2006.09.019