Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Naif D. Alotaibi"'
Publikováno v:
Mathematics, Vol 11, Iss 18, p 4004 (2023)
Advancing cutting-edge techniques to accurately classify electromyography (EMG) signals are of paramount importance given their extensive implications and uses. While recent studies in the literature present promising findings, a significant potentia
Externí odkaz:
https://doaj.org/article/6789c439b4ba44269bb1b683b6fdb52b
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3699 (2023)
The control of rehabilitation robots presents a formidable challenge owing to the myriad of uncharted disturbances encountered in real-world applications. Despite the existence of several techniques proposed for controlling and identifying such syste
Externí odkaz:
https://doaj.org/article/170baac160f64ff987d74b4156e1090c
Publikováno v:
Mathematics, Vol 11, Iss 4, p 978 (2023)
This paper deals with chaos control in an arch microelectromechanical system (MEMS) from the fractional calculus perspective. There is a growing need for effective controllers in various technological fields, and it is important to consider disruptio
Externí odkaz:
https://doaj.org/article/bc52522d21204326a7c71bb180a39caf
Publikováno v:
Mathematics, Vol 11, Iss 3, p 789 (2023)
This research investigates the stabilization and control of an uncertain Euler–Bernoulli nano-beam with fixed ends. The governing partial differential equations of motion for the nano-beam are derived using Hamilton’s principle and the non-local
Externí odkaz:
https://doaj.org/article/6e3fe1ceaa94460d94d0d3c294053904
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3682 (2022)
This article addresses the challenging problem of fixed-time output-constrained synchronization for master–slave chaotic financial systems with unknown parameters and perturbations. A fixed-time neural adaptive control approach is originally propos
Externí odkaz:
https://doaj.org/article/d8035ec08c8240da89bdb5d41b1ba23d
Publikováno v:
Mathematics, Vol 10, Iss 16, p 3005 (2022)
In this paper, a novel gain-scheduled sliding-mode-type (SM-type) iterative learning (IL) control approach is proposed for the high-precision trajectory tracking of mechanical systems subject to model uncertainties and disturbances. Based on the SM v
Externí odkaz:
https://doaj.org/article/3f592d365e114157b0560bccada06c4f
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2467 (2022)
In this article, a neural integral sliding mode control strategy is presented for the finite-time fault-tolerant attitude tracking of rigid spacecraft subject to unknown inertia and disturbances. First, an integral sliding mode controller was develop
Externí odkaz:
https://doaj.org/article/67aeaac4792f4de88faf36013054ae12
Publikováno v:
Mathematics, Vol 10, Iss 10, p 1667 (2022)
This paper proposes a novel neural adaptive fixed-time control approach for the attitude stabilization and vibration suppression of flexible spacecraft. First, the neural network (NN) was introduced to identify the lumped unknown term involving uncer
Externí odkaz:
https://doaj.org/article/458ee140d58c4c43a29325b836d2eaf0
Publikováno v:
Mathematics, Vol 10, Iss 2, p 165 (2022)
This research presents a new fractional-order discrete-time susceptible-infected-recovered (SIR) epidemic model with vaccination. The dynamical behavior of the suggested model is examined analytically and numerically. Through using phase attractors,
Externí odkaz:
https://doaj.org/article/92dd0d876d1a41bd86c01e61cf30dea3
Publikováno v:
Complexity, Vol 2017 (2017)
The finite-time consensus problem in the networks of multiple mobile agents is comprehensively investigated. In order to resolve this problem, a novel nonlinear information exchange protocol is proposed. The proposed protocol ensures that the states
Externí odkaz:
https://doaj.org/article/70dedeab377d4c3395ae72efe6946430