2021
DOI: 10.1016/j.chaos.2021.111191
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Synchronization problem for a class of multi-input multi-output systems with terminal sliding mode control based on finite-time disturbance observer: Application to Chameleon chaotic system

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Cited by 19 publications
(6 citation statements)
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“…In [17], the sliding mode observer reduces the effect of parameter uncertainty and external disturbances on the performance of PMSM chaotic systems, which is found to have a faster response than adaptive control and finite-time synchronization control approximately. The finite time disturbance observer (FTDO) allows precise identification of disturbance parameters and the terminal sliding mode controller with FTDO eliminates chattering and convergence of the synchronization error to the origin achieved in finite time [15]. The initial state of the system has a direct effect on the random finite-time synchronization, but has no effect on the random fixed-time synchronization [11][18].…”
Section: Introducementioning
confidence: 99%
“…In [17], the sliding mode observer reduces the effect of parameter uncertainty and external disturbances on the performance of PMSM chaotic systems, which is found to have a faster response than adaptive control and finite-time synchronization control approximately. The finite time disturbance observer (FTDO) allows precise identification of disturbance parameters and the terminal sliding mode controller with FTDO eliminates chattering and convergence of the synchronization error to the origin achieved in finite time [15]. The initial state of the system has a direct effect on the random finite-time synchronization, but has no effect on the random fixed-time synchronization [11][18].…”
Section: Introducementioning
confidence: 99%
“…Thus, the accomplished convergence time in these methods is infinite, which results in an undesirable attitude in practice. Accordingly, finite-time synchronization methods have been proposed to address the encountered problem and in recent years the mentioned approach has been investigated to the large extent (Aslmostafa et al, 2021b; Chen et al, 2018; Mirzaei et al, 2021c; Ning et al, 2020; Xi et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The sliding mode control strategy which is a robust way in control of linear and nonlinear systems, avoids the interference of external disturbances in the convergence performance of system states [30]. So, nonlinear systems have extensively been investigated with the sliding mode control which provides a suitable method that represents a highly insensitive control process and it isn't influenced by uncertainties and external disturbances [31][32][33][34]. Even so traditional sliding mode control lacks satisfactory robustness during the reaching phase, integral sliding mode (ISM) control can be a promising solution [35].…”
Section: Introductionmentioning
confidence: 99%