Adaptive and Exponential Synchronization of Uncertain Fractional-Order T-S Fuzzy Complex Networks With Coupling Time-Varying Delays via Pinning Control Strategy

Wu, Xiru; Ai, Qingming; Wang, Yaonan

doi:10.1109/access.2020.3047114

Cited by 9 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…□ Remark 1. The speed of network synchronization depends on the parameters η(r(t)) and φ(r(t)) in the controller (11). Moreover, the inequality (12) in Theorem 1 is a sufficient condition rather than a necessary condition to achieve finite-time synchronization of Markovian switching complex network via the optimal node selection strategy.…”

Section: Finite-time Synchronization Of Markovian Switching Complex N...mentioning

confidence: 99%

“…With the increasing standard of practical engineering requirements, the synchronization performance of the network is no longer the only criterion to measure network synchronization, as low control cost and low energy loss have become another concern of practical engineering. The commonly used control strategies are pinning control [8], linear (nonlinear) feedback control [9], adaptive control [10], intermittent control [11], impulse control [12], event-triggered control [13], etc. The characteristics of low energy consumption and low control cost of pinning control and event-triggered control have attracted the attention of many scholars.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Low Energy Cost Synchronization Strategy for Markovian Switching Complex Systems/Networks: Multiple Perspectives Comparative Analysis

Xie,

Xu,

Dang

et al. 2024

Processes

View full text Add to dashboard Cite

In this paper, the low energy cost synchronization control strategy of Markovian switching complex systems/networks is mainly studied and analyzed through multiple perspectives. Firstly, in order to achieve synchronization of Markovian switching complex networks with low energy cost, a control scheme based on the optimal node selection strategy that does not depend on the network coupling strength is improved, and a finite-time controller with a simpler structure is constructed. Secondly, based on the event-triggered control strategy an effective trigger event is designed to achieve the low energy cost synchronization of Markovian switching complex networks on the basis of reducing the information transmission and interaction between networks. Finally, the two control strategies mentioned in this paper are compared and analyzed from multiple perspectives through numerical simulations to better guide practical engineering.

show abstract

Section: Finite-time Synchronization Of Markovian Switching Complex N...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low Energy Cost Synchronization Strategy for Markovian Switching Complex Systems/Networks: Multiple Perspectives Comparative Analysis

Xie,

Xu,

Dang

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

“…In [17], for pinning synchronization of a class of stochastic T-S fuzzy delayed complex dynamical networks a fuzzy memory control scheme is suggested. An adaptive T-S fuzzy control methodology is proposed to solve the synchronization problem of FO T-S fuzzy chaotic uncertain delayed systems by Wu et al in [18]. The authors of [19], have designed a finite time fuzzy controller for synchronization for a class of T-S fuzzy complex delayed neural.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of T-S fuzzy methodology for guaranteed cost synchronization of different non-integer-order complex systems

Berardehi,

Zhang,

Taheri

et al. 2024

Preprint

View full text Add to dashboard Cite

Recently, guaranteed cost synchronization of different complex dynamical systems is one of the main issues in engineering which has a lot of applications in applied sciences. In this work, a T-S fuzzy model-free state feedback (MFSF) methodology is designed for the synchronization of different chaotic fractional-order systems (FOSs) with input saturation. Based on the non-integer version of the Lyapunov stability theorem and linear matrix inequality concept, a T-S fuzzy model-free state feedback method is driven to suppress the undesired behavior of the FOSs without any unpleasant chattering phenomenon. Besides, by operating the proposed technique on synchronization of two chaotic FOSs, the effectiveness and applicability of the T-S fuzzy MFSF are validated.

show abstract

“…In the work by Yang et al (2020), a fuzzy memory control scheme is suggested for pinning synchronization of a class of T-S fuzzy delayed chaotic dynamical networks. An adaptive T-S fuzzy control methodology is proposed to solve the synchronization problem of FO T-S fuzzy chaotic uncertain delayed systems by Wu et al (2021). Liu et al (2021) have designed a finite-time fuzzy controller for synchronization for a group of T-S fuzzy riotous delayed neural networks.…”

Section: Introductionmentioning

confidence: 99%

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

Berardehi

Zhang

Taheri

et al. 2023

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

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 the non-integer form of the Lyapunov stability theory (LST) and linear matrix inequality concept. The suggested MFSF technique may be used to stabilize and synchronize FOSs with model uncertainty, external disturbances, and input saturation. The designed method has the advantages of being a model-free technique, being resistant to uncertainties, being simple to use, and achieving the equilibrium point quickly at a guaranteed cost. Furthermore, the effectiveness and application of the T-S fuzzy MFSF are proven using the suggested approach to synchronize two separate canonical chaotic FOSs and stabilize the permanent magnet synchronous motor (PMSM) chaotic system. Two comparisons demonstrate the efficacy and advantages of the T-S fuzzy approach over other existing control methods.

show abstract

Adaptive and Exponential Synchronization of Uncertain Fractional-Order T-S Fuzzy Complex Networks With Coupling Time-Varying Delays via Pinning Control Strategy

Cited by 9 publications

References 38 publications

Low Energy Cost Synchronization Strategy for Markovian Switching Complex Systems/Networks: Multiple Perspectives Comparative Analysis

Low Energy Cost Synchronization Strategy for Markovian Switching Complex Systems/Networks: Multiple Perspectives Comparative Analysis

Design of T-S fuzzy methodology for guaranteed cost synchronization of different non-integer-order complex systems

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

Contact Info

Product

Resources

About