2022
DOI: 10.1155/2022/6458027
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Self‐Excited and Hidden Chaotic Attractors in Matouk’s Hyperchaotic Systems

Abstract: Self-excited and hidden chaotic attractors are interesting complex dynamical phenomena. Here, Matouk’s hyperchaotic systems are shown to have self-excited and hidden chaotic attractors, respectively. Two case studies of hidden chaotic attractors are provided which are examined with orders 3.08 and 3.992, respectively. Moreover, self-excited chaotic attractors are found in the fractional-order system and its integer-order counterpart. The existence of one-eyed face self-excited chaotic attractors is also report… Show more

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Cited by 8 publications
(4 citation statements)
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“…Owing to the unique dynamic characteristics of the hidden attractor, it has become a research hotspot in recent years. Self-excited and hidden chaotic attractors can be separately observed in Matouk's hyperchaotic systems [22]. In Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Owing to the unique dynamic characteristics of the hidden attractor, it has become a research hotspot in recent years. Self-excited and hidden chaotic attractors can be separately observed in Matouk's hyperchaotic systems [22]. In Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Fractional calculus has been regarded as a strong mathematical tool for investigating aberrant processes found in different fields with notable memory and hereditary characteristics [11] , [12] , [13] . Over the past decades, a considerable number of valuable efforts have been done on the theoretical aspects of fractional calculus as well as its practical importance [14] , [15] , [16] .…”
Section: Introductionmentioning
confidence: 99%
“…Partial di erential equations (PDEs) have become increasingly popular due to their wide range of applications in nonlinear science such as engineering [1], civil engineering [2], quantum mechanics [3], thermoelasticity [4], soil mechanics [5], statistical mechanics [6], population ecology [7,8], economics [9], and biology [10,11]. As a result, it is vital to nd accurate solutions in order to have a better understanding of nonlinear phenomena.…”
Section: Introductionmentioning
confidence: 99%