Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ali Hussien Mary"'
Autor:
Shatha Abd Al Kareem Mohammed, Ali Hussien Mary, Ali Al‐Abadi, Mohammed Ghufran Khidhir Abboosh
Publikováno v:
Al-Khawarizmi Engineering Journal, Vol 20, Iss 3 (2024)
This paper presents a new optimal robust control algorithm based on a proportional-integral (PI) and state feedback controller with a state disturbance observer for the two degrees-of-freedom helicopter system. A disturbance observer is used to impro
Externí odkaz:
https://doaj.org/article/7cd4a79e828f4ad086545489875fce6d
Autor:
Ali Hussien Mary, Ahmad Al-Talabi, Tolgay Kara, Dina Saadi Muneam, Mohammad Yahya Almuhanna, Laith Awda Kadhim Mayyahi
Publikováno v:
Al-Khawarizmi Engineering Journal, Vol 20, Iss 1 (2024)
In recent years, robotic systems have been widely used in different applications, and this has motivated researchers to develop different control methods. A model-free, intelligent, robust control method for a nonlinear robotic manipulator system is
Externí odkaz:
https://doaj.org/article/11de69cc6f364ca78d09ff2a53abec08
Autor:
Ali Hussien Mary
Publikováno v:
Journal of Engineering and Sustainable Development, Vol 15, Iss 2 (2011)
In this paper, a face recognition system for personal identification using Discret Wavelet Transform(DWT), Principle component Analysis (PCA) and Back-propagation Neural Network is proposed. The system consists of three steps. In first step pre-proce
Externí odkaz:
https://doaj.org/article/49f9a536a0b044e7ba748d36964d89c5
Autor:
Ali Hussien mary
Publikováno v:
مجلة النهرين للعلوم الهندسية, Vol 13, Iss 1 (2010)
Nowadays, still images are used everywhere in the digital world. Images take lot of computer space, in many practical situations, all original images cannot be stored, and a compression must be used. Moreover, in many such situations, compression
Externí odkaz:
https://doaj.org/article/eb7b95b3d61541bda4b7cfd2c6d87b33
Publikováno v:
Journal of the Chinese Institute of Engineers. 45:688-696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eba2e0a61e96bf8114fee9ca87b1140
https://doi.org/10.1080/02533839.2022.2126401
https://doi.org/10.1080/02533839.2022.2126401
The number of sources estimation is one of the vital key technologies in smart antenna. The current paper adopts a new system that employs a hybrid algorithm of artificial bee colony (ABC) and complex generalized Hebbian (CGHA) neural network to Baye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3469ef8c8707f71a601248c706c07e5
https://zenodo.org/record/7302650
https://zenodo.org/record/7302650
Publikováno v:
Al-Khawarizmi Engineering Journal, Vol 17, Iss 3 (2021)
This paper presents a robust control method for the trajectory control of the robotic manipulator. The standard Computed Torque Control (CTC) is an important method in the robotic control systems but its not robust to system uncertainty and external
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6e333e4fccef2124430995e3923a7a4
https://doi.org/10.22153/kej.2021.09.002
https://doi.org/10.22153/kej.2021.09.002
Publikováno v:
Journal of Electrical Engineering & Technology. 17:1921-1929
In this paper, a novel algorithm based machine learning technique for control nonlinear coupled tanks system is presented. An intelligent controller using adaptive neuro-fuzzy inference system (ANFIS) based reinforcement learning is proposed (ANFIS-R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcffc3ae161dd5b777d8a3137b8d483d
https://doi.org/10.1007/s42835-021-00753-1
https://doi.org/10.1007/s42835-021-00753-1
Publikováno v:
Electric Power Components and Systems. :1-17
This paper presents a robust tracking controller for the automatic voltage regulator (AVR) system, where both system uncertainties and external disturbances are taken into account. The proposed con...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f25ad350d4dce615d2db3d22a5071446
https://doi.org/10.1080/15325008.2021.1908456
https://doi.org/10.1080/15325008.2021.1908456
Publikováno v:
Journal of Engineering Research. 9
This paper proposes a robust control scheme for an underactuated crane system. The presented scheme contains two control strategies, feedback control term and corrective control term, based on Radial Basis Function (RBF) neural networks. A feedback c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c2d8aeab22eef2012183cc726d037a
https://doi.org/10.36909/jer.v9i3a.9159
https://doi.org/10.36909/jer.v9i3a.9159