Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Kamel Kara"'
Autor:
Chafea Stiti, Mohamed Benrabah, Abdelhadi Aouaichia, Adel Oubelaid, Mohit Bajaj, Milkias Berhanu Tuka, Kamel Kara
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract This research introduces a new technique to control constrained nonlinear systems, named Lyapunov-based neural network model predictive control using a metaheuristic optimization approach. This controller utilizes a feedforward neural networ
Externí odkaz:
https://doaj.org/article/de552bb358214e46a9055b68a6b9169d
Autor:
Camelia Ait Hammouda, Rafik Bradai, Ahmed Bendib, Abdelhammid Kherbachi, Kamel Kara, Rachid Boukenoui, Hafiz Ahmed
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 3, Pp 568-584 (2024)
Abstract In voltage‐controlled voltage source inverters (VSIs)‐based microgrids (MGs), the inner control is of prime interest task for guaranteeing safe and stable operation. In this paper, an in‐depth investigation of the modelling, control de
Externí odkaz:
https://doaj.org/article/f32d0bd9bc3c46919f4cb24de620eee6
Publikováno v:
Archive of Mechanical Engineering, Vol vol. 69, Iss No 4, Pp 595-613 (2022)
In this paper, neural networks are presented to solve the inverse kinematic models of continuum robots. Firstly, the forward kinematic models are calculated for variable curvature continuum robots. Then, the forward kinematic models are implemented i
Externí odkaz:
https://doaj.org/article/fcf2041e65604b05ad51c71d5ded2567
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2015 (2015)
A fuzzy predictive controller using particle swarm optimization (PSO) approach is proposed. The aim is to develop an efficient algorithm that is able to handle the relatively complex optimization problem with minimal computational time. This can be a
Externí odkaz:
https://doaj.org/article/82f15ce8ca8c49a28984184afbf7dae9
Publikováno v:
2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0295003dd1ab532054e84109160e17ec
https://doi.org/10.1109/icaeccs56710.2023.10105092
https://doi.org/10.1109/icaeccs56710.2023.10105092
Publikováno v:
Journal of Control, Automation and Electrical Systems. 33:1355-1363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::758f2a0ce18445bcc2bafe1bb960df70
https://doi.org/10.1007/s40313-022-00914-1
https://doi.org/10.1007/s40313-022-00914-1
Autor:
Naima Bouhabza, Kamel Kara
Publikováno v:
2022 2nd International Conference on Advanced Electrical Engineering (ICAEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da330f859fd65463644d196ad851ea54
https://doi.org/10.1109/icaee53772.2022.9962024
https://doi.org/10.1109/icaee53772.2022.9962024
Publikováno v:
IET Renewable Power Generation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7bf1ddc658b63dc1d94a78551223da
https://doi.org/10.1049/rpg2.12610
https://doi.org/10.1049/rpg2.12610
Publikováno v:
WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS. 16:94-109
Optimized Proportional Integral Derivative controllers are designed to control the translational and rotational motions of a quadrotor system with six degrees of freedom. The teaching learning based optimization algorithm is used to obtain the propor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8db6cd360555f5a280d859c0bf428f4
https://doi.org/10.37394/232011.2021.16.10
https://doi.org/10.37394/232011.2021.16.10
Publikováno v:
Journal of Control, Automation and Electrical Systems. 32:1228-1243
In this work, an efficient constrained nonlinear predictive control algorithm, based on the meta-heuristic optimization strategy, is proposed. The aim is to develop a predictive control algorithm having a simple design and implementation procedure on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8625afca6ba578cb8fa35eb1f9d10146
https://doi.org/10.1007/s40313-021-00755-4
https://doi.org/10.1007/s40313-021-00755-4