2018
DOI: 10.1177/0142331218788216
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Parameter estimation and synchronization of hyper chaotic Lu system with disturbance input and uncertainty using two under-actuated control signals

Abstract: In this paper, synchronization of two hyper chaotic Lu systems with unknown factors, such as uncertainty and disturbance, and less control signals with respect to system’s dimensions by applying an adaptive sliding mode controller is presented. In this research, firstly, an integral sliding mode controller is designed for synchronization of two hyper chaotic Lu systems with known parameters. Secondly, a controller is used to synchronize two hyper chaotic Lu systems with unknown parameters; in this case, unknow… Show more

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Cited by 6 publications
(4 citation statements)
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“…3) The proposed scheme is applied to secure communication, and it was implemented using electrical circuits. In contrast to [17], [19], [20], [23], [26], [61], [63], [69], [70], [76], [77].…”
Section: Introductionmentioning
confidence: 94%
See 1 more Smart Citation
“…3) The proposed scheme is applied to secure communication, and it was implemented using electrical circuits. In contrast to [17], [19], [20], [23], [26], [61], [63], [69], [70], [76], [77].…”
Section: Introductionmentioning
confidence: 94%
“…1) An underactuated projective synchronization scheme for a perturbed Zhou et al hyperchaotic system [20] is proposed. The proposed synchronization has a simple structure, in contrast to [9], [17], [19], [20], [22], [23], [39], [53], [61], [63], [69], [70], [76].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, sustainability analysis has been performed. In [63], chaos-based synchronization of nonlinear Lu systems with disturbance and uncertainty and minor control scheme with regard to systems dimensions by applying an ASMC is presented. Firstly, an Integral-Type Sliding Mode Control (I-TSMC) is proposed for chaos-based synchronization of nonlinear Lu systems with specify positive parameters.…”
Section: Introductionmentioning
confidence: 99%
“…In basic sciences, synchronization indicates that various processes join each other at a specific point or perform similarly. In the recent decades, many scientists have studied synchronization in different contexts, including motor synchronization (Rinott and Tractinsky, 2022), synchronization in computer science (Sarkar, 2021), synchronization of mechanical systems (Zhang et al, 2021), power system synchronization (Choi and Seo, 2021), and synchronization of chaotic systems (Assali, 2021; Sabaghian and Balochian, 2018; Tabasi and Balochian, 2018).…”
Section: Introductionmentioning
confidence: 99%