Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Vahid Tavakol Aghaei"'
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e13885- (2023)
The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable sys
Externí odkaz:
https://doaj.org/article/1d74f385d22d41ae9029988e0038d95e
Autor:
Yüksel Ediz Bezci, Vahid Tavakol Aghaei, Batuhan Ekin Akbulut, Deniz Tan, Tofigh Allahviranloo, Unai Fernandez-Gamiz, Samad Noeiaghdam
Publikováno v:
Results in Engineering, Vol 16, Iss , Pp 100685- (2022)
Controlling underactuated open-loop unstable systems is challenging. In this study, first, both nonlinear and linear models of a dual-axis reaction wheel pendulum (DA-RWP) are extracted by employing Lagrangian equations which are based on energy meth
Externí odkaz:
https://doaj.org/article/9f51d44d8d3a4cbf9829b4d442a491a3
Publikováno v:
Systems Science & Control Engineering, Vol 6, Iss 1, Pp 438-455 (2018)
Policy search algorithms have facilitated application of Reinforcement Learning (RL) to dynamic systems, such as control of robots. Many policy search algorithms are based on the policy gradient, and thus may suffer from slow convergence or local opt
Externí odkaz:
https://doaj.org/article/5efdf2ad806b43809482874306eb494c
Publikováno v:
Journal of Mechanisms and Robotics. 15
The Stewart platform is an entirely parallel robot with mechanical differences from typical serial robotic manipulators, which has a wide application area ranging from flight and driving simulators to structural test platforms. This work concentrates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90decbff6f6af0cc3a93329aa8d09497
https://doi.org/10.1115/1.4056971
https://doi.org/10.1115/1.4056971
Autor:
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, Peiman Naseradinmousavi, Sinan Yıldırım, Serhat Yeşilyurt, Ahmet Onat
Publikováno v:
Applied Energy. 341:121108
This study focuses on the numerical analysis and optimal control of vertical-axis wind turbines (VAWT) using Bayesian reinforcement learning (RL). We specifically address small-scale wind turbines, which are well-suited to local and compact productio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9df0d01d71f7b9d0edb2bbdb9820ed9
https://doi.org/10.1016/j.apenergy.2023.121108
https://doi.org/10.1016/j.apenergy.2023.121108
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25b0ece494f7c698f146fba95728ffec
https://doi.org/10.2139/ssrn.4312627
https://doi.org/10.2139/ssrn.4312627
Reinforcement learning methods are being applied to control problems in robotics domain. These algorithms are well suited for dealing with the continuous large scale state spaces in robotics field. Even though policy search methods related to stochas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6feef4153ad2135761f0c67704b7c5
Autor:
Seda Erener, Vahid Tavakol Aghaei, Buse ilayda Komurcu, Didar Saka, Gizem Kizilca, Bahar Aydogan
Publikováno v:
SIU
The reaction wheel pendulum system is an underactuated system with a nonlinear structure that is used for both academic research as a benchmark and real-time control applications. The open-loop unstability of this system draws the attention of expert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c0d8a7aca666d640ecf00f8040dd06
https://doi.org/10.1109/siu53274.2021.9477808
https://doi.org/10.1109/siu53274.2021.9477808
Publikováno v:
Systems Science & Control Engineering, Vol 6, Iss 1, Pp 438-455 (2018)
Policy search algorithms have facilitated application of Reinforcement Learning (RL) to dynamic systems, such as control of robots. Many policy search algorithms are based on the policy gradient, and thus may suffer from slow convergence or local opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23796e4edac3a0742105aa2b6f9a01d1
https://doi.org/10.1080/21642583.2018.1528483
https://doi.org/10.1080/21642583.2018.1528483
Autor:
Ahmet Onat, Vahid Tavakol Aghaei
Publikováno v:
ICMRE
In this study a gain scheduling method for the scaling factors of the input variables to the fuzzy logic controller by means of policy gradient reinforcement learning algorithms has been proposed. The motivation for using PG algorithms is that they c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2a122be4cffcff0dd662eb101c1f2b
https://doi.org/10.1145/3068796.3068827
https://doi.org/10.1145/3068796.3068827