Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Joel Perez Padron"'
Publikováno v:
Fractal and Fractional, Vol 7, Iss 1, p 4 (2022)
In this research work, time-delay adaptive synchronization and adaptive anti-synchronization of chaotic fractional order systems are analyzed via the Caputo fractional derivative, and the prob-lem of synchronization and anti-synchronization of chaoti
Externí odkaz:
https://doaj.org/article/586a7832eae248e188fb9647b2cc1c61
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2149 (2021)
In this research paper, we solve the problem of synchronization and anti-synchronization of chaotic systems described by discrete and time-delayed variable fractional-order differential equations. To guarantee the synchronization and anti-synchroniza
Externí odkaz:
https://doaj.org/article/08f3abc68d954ced96d0e3a8b41784eb
Publikováno v:
Computación y Sistemas. 24
In this paper the problem of trajectory tracking is studied.Based on the Lyapunov theory, a Fractional Order PIDcontrol lawthat achieves the global asymptotic stability of the trackingerror between a fractional order recurrent neural network anda fra
Publikováno v:
Mathematics
Volume 9
Issue 17
Mathematics, Vol 9, Iss 2149, p 2149 (2021)
Volume 9
Issue 17
Mathematics, Vol 9, Iss 2149, p 2149 (2021)
In this research paper, we solve the problem of synchronization and anti-synchronization of chaotic systems described by discrete and time-delayed variable fractional-order differential equations. To guarantee the synchronization and anti-synchroniza
Publikováno v:
Computación y Sistemas. 21
In this paper the problem of trajectory tracking is studied. Based on the Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a fractional recurrent neural network and the state of each single no
Publikováno v:
2016 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE).
This paper presents an application of a time-delay neural networks to chaos synchronization. The two main methodologies, on which the approach is based, are time-delay recurrent neural networks and inverse optimal control for nonlinear systems. The p
Publikováno v:
Environmental Science and Sustainable Development.
Publikováno v:
Mathematical Problems in Engineering, Vol 2014 (2014)
In this paper, the problem of trajectory tracking is studied. Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a complex dyn