Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Mohammad Bagher Naghibi Sistani"'
Publikováno v:
International Journal of Industrial Electronics, Control and Optimization, Vol 7, Iss 4, Pp 257-266 (2024)
In this paper, we propose the problem of connectivity maintenance for a group of robots that are connected with wireless communication. The communication between the agents is modeled by a fading channel, and the exchange of information is possible a
Externí odkaz:
https://doaj.org/article/dc67304b7d35429ba30c86d875ff93c6
Autor:
Seyedeh Zahra Paylakhi, Naser Pariz, Mohammad Bagher Naghibi Sistani, Mohammad Hossein Javidi Dasht Bayaz
Publikováno v:
IET Control Theory & Applications, Vol 16, Iss 15, Pp 1586-1600 (2022)
Abstract Cross‐backstepping control for a type of uncertain non‐strict‐feedback non‐linear systems with time‐varying partial state constraints is the main subject of this work. Non‐strict‐feedback non‐linear systems are partitioned in
Externí odkaz:
https://doaj.org/article/2a478763bf084a879b564a0d3fb7db03
Publikováno v:
Journal of Intelligent Procedures in Electrical Technology, Vol 6, Iss 21, Pp 31-40 (2015)
This paper describes an optimal design for multivariable PI controller with a high gain structure for an irregular system by genetic algorithm. PI controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes
Externí odkaz:
https://doaj.org/article/21f95fbdddff4932a651b0f3fd82e28f
Autor:
Ali Tayarani, Ali Baratian, Mohammad Bagher Naghibi Sistani, Mohammad Reza Saberi, Zeinab Tehranizadeh
Publikováno v:
Iranian Journal of Basic Medical Sciences, Vol 16, Iss 11, Pp 1196-1202 (2013)
Objective(s): A fast and reliable evaluation of the binding energy from a single conformation of a molecular complex is an important practical task. Artificial neural networks (ANNs) are strong tools for predicting nonlinear functions which are used
Externí odkaz:
https://doaj.org/article/b62c7571005a4cecaba28951f24b37aa
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 4, Pp 19-31 (2010)
Text categorization is one of the well studied problems in data mining and information retrieval. Given a large quantity of documents in a data set where each document is associated with its corresponding category. This research proposes a novel appr
Externí odkaz:
https://doaj.org/article/b278cf8d4d7d4a7fa19b038d625c6d25
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 236:1630-1648
In order to tackle the real network constraints such as unknown state time-varying delays and limited communication resources, this article proposes a dynamic event-triggered control framework to satisfy the distributed consensus of heterogeneous str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e4b5beadb2256fd0ec1aa97357b596
https://doi.org/10.1177/09596518221105669
https://doi.org/10.1177/09596518221105669
Publikováno v:
Electric Power Components and Systems. 50:426-442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bfcef3683bd33b8741893ddfe7a61cd
https://doi.org/10.1080/15325008.2022.2134509
https://doi.org/10.1080/15325008.2022.2134509
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:2131-2135
In this brief, we contribute to adaptive neural network (NN) backstepping control design for the nonlinear double-integrator fractional-order (FO) systems comprising unknown dynamics and disturbances by the event-triggered procedure. To this end, a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16e276712e9ac5648687e3dba2f8e620
https://doi.org/10.1109/tcsii.2021.3128561
https://doi.org/10.1109/tcsii.2021.3128561
Autor:
Seyedeh Zahra Paylakhi, Naser Pariz, Mohammad Hossein Javidi Dasht Bayaz, Mohammad Bagher Naghibi Sistani
Publikováno v:
International Journal of Dynamics and Control. 10:2011-2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9993ee636108de0655e8cb4d0d08326
https://doi.org/10.1007/s40435-022-00917-5
https://doi.org/10.1007/s40435-022-00917-5
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 236:927-943
This article proposes an event-triggered control framework to satisfy the tracking formation performance for a group of uncertain non-linear n-link robotic manipulators. The robotic manipulators are configured as a multi-agent system and they communi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81ccc2570d4135e9198ac870a1325ca9
https://doi.org/10.1177/09596518211067888
https://doi.org/10.1177/09596518211067888