2023
DOI: 10.1177/01423312231155273
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Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost

Abstract: One of the fundamental topics in engineering that has many applications in applied sciences is guaranteed cost control and synchronization of chaotic dynamical systems. In this paper, a Takagi–Sugeno (T-S) fuzzy model-free state feedback (MFSF) technique is used to synchronize and stabilize various complex fractional-order systems (FOSs) in the presence of input saturation. A T-S fuzzy MFSF method is developed to suppress the inappropriate behavior of the FOSs without any unpleasant chattering phenomena using … Show more

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Cited by 16 publications
(7 citation statements)
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“…Theorem 5. Suppose the FO laser chaotic mechanism (12). Then, by operating the following control methodology (35), the process of trajectories of the FO laser chaotic mechanism (12) will exhibit asymptotic stability in finite-time.…”
Section: Design Of the Finite-time Pid Smcmentioning
confidence: 99%
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“…Theorem 5. Suppose the FO laser chaotic mechanism (12). Then, by operating the following control methodology (35), the process of trajectories of the FO laser chaotic mechanism (12) will exhibit asymptotic stability in finite-time.…”
Section: Design Of the Finite-time Pid Smcmentioning
confidence: 99%
“…V 3 < 0. Hence, the stabilization criteria in Theory 2 are derived, and trajectories of the FO laser chaotic mechanism (12) will convergence to the origin. Now, based on ( 28) and (46), we have .…”
Section: Design Of the Finite-time Pid Smcmentioning
confidence: 99%
See 1 more Smart Citation
“…As an important dynamic behavior of chaotic systems, synchronization exists widely in application areas such as cryptographic construction systems, fault diagnosis systems, multiuser detection systems, and image watermarking systems [28][29][30][31][32][33][34][35][36][37]. During the past several years, various kinds of synchronization have been proposed in control science, such as asymptotic synchronization and finite-time synchronization.…”
Section: Introductionmentioning
confidence: 99%
“…As a direct consequence of this, the primary emphasis of the research community has been the development of a variety of strategies for the control and synchronization of chaotic FO systems. In this context, a number of different control methodologies have been proposed, including the sliding mode controller [9,10], the adaptive controller [11,12], the fuzzy controller [13], the feedback controller [14], the PID controller [15], the observer controller [16], and the optimal controller [17,18] to control and synchronize of chaotic FO systems.…”
Section: Introduction 1introductions and A Literature Reviewmentioning
confidence: 99%