Výsledky vyhledávání - "Behrouz Homayoun"

Akademický článek

Command filtered backstepping control of constrained flexible joint robotic manipulator

Autor: Mohammad Mehdi Arefi, Navid Vafamand, Behrouz Homayoun, Mohammadreza Davoodi

Publikováno v: IET Control Theory & Applications, Vol 17, Iss 18, Pp 2506-2518 (2023)

Abstract Here, an adaptive radial basis function (RBF) neural network (NN) backstepping controller is proposed for a class of input‐constrained flexible joint robotic manipulators represented by strict‐feedback form with unknown terms, external s

Externí odkaz: https://doaj.org/article/8ccf7b6a67cf44e6852a84e147df05ec

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Let's hear it from RETTA: A Requirements Elicitation Tool for TrAffic management systems

Autor: Noaeen, Mohammad, Abad, Zahra Shakeri Hossein, Far, Behrouz Homayoun

The area of Traffic Management (TM) is characterized by uncertainty, complexity, and imprecision. The complexity of software systems in the TM domain which contributes to a more challenging Requirements Engineering (RE) job mainly stems from the dive

Externí odkaz: http://arxiv.org/abs/1707.01927

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Neural minimal learning backstepping control of stochastic active suspension systems with hydraulic actuator saturation

Autor: Navid Vafamand, Behrouz Homayoun, Mohammad Mehdi Arefi, Shen Yin

Publikováno v: Journal of the Franklin Institute. 357:13687-13706

This study develops a novel radial basis function (RBF) neural network (NN) minimal learning backstepping control law for active suspension systems represented by nonlinear dynamics with additive stochastic terms and practical hydraulic actuator satu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e37a99249adc5086aaf2e7051f70bb37
https://doi.org/10.1016/j.jfranklin.2020.10.020

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Neuro-adaptive command filter control of stochastic time-delayed nonstrict-feedback systems with unknown input saturation

Autor: Mohammad Mehdi Arefi, Shen Yin, Behrouz Homayoun, Navid Vafamand

Publikováno v: Journal of the Franklin Institute. 357:7456-7482

This paper addresses the problem of adaptive neural tracking control for a class of nonstrict-feedback stochastic nonlinear time-delayed systems with unknown input saturation and unknown disturbance input. A smooth function is selected to approximate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16d2d15393497f6cdc6958f2b414e4fb
https://doi.org/10.1016/j.jfranklin.2020.04.042

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Exploring the Residual Queue Length Equation in the Shock Wave Model

Autor: Noaeen, Mohammad, Rassafi, Amir Abbas, Far, Behrouz Homayoun

Presented at the 51st CTRF (57th TRF) Joint Conference, May 1-4, 2016, Toronto, Ontario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a6604cadc22221fcccb718d5fc9c685

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Akademický článek

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