التفاصيل البيبلوغرافية
العنوان: |
Finite-Time Pinning Synchronization Control for T-S Fuzzy Discrete Complex Networks with Time-Varying Delays via Adaptive Event-Triggered Approach |
المؤلفون: |
Xiru Wu, Yuchong Zhang, Qingming Ai, Yaonan Wang |
المصدر: |
Entropy; Volume 24; Issue 5; Pages: 733 |
بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
سنة النشر: |
2022 |
المجموعة: |
MDPI Open Access Publishing |
مصطلحات موضوعية: |
discrete complex networks, T-S fuzzy model, pinning control, finite-time synchronization, adaptive event-triggered approach |
الوصف: |
This paper is concerned with the adaptive event-triggered finite-time pinning synchronization control problem for T-S fuzzy discrete complex networks (TSFDCNs) with time-varying delays. In order to accurately describe discrete dynamical behaviors, we build a general model of discrete complex networks via T-S fuzzy rules, which extends a continuous-time model in existing results. Based on an adaptive threshold and measurement errors, a discrete adaptive event-triggered approach (AETA) is introduced to govern signal transmission. With the hope of improving the resource utilization and reducing the update frequency, an event-based fuzzy pinning feedback control strategy is designed to control a small fraction of network nodes. Furthermore, by new Lyapunov–Krasovskii functionals and the finite-time analysis method, sufficient criteria are provided to guarantee the finite-time bounded stability of the closed-loop error system. Under an optimization condition and linear matrix inequality (LMI) constraints, the desired controller parameters with respect to minimum finite time are derived. Finally, several numerical examples are conducted to show the effectiveness of obtained theoretical results. For the same system, the average triggering rate of AETA is significantly lower than existing event-triggered mechanisms and the convergence rate of synchronization errors is also superior to other control strategies. |
نوع الوثيقة: |
text |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
Statistical Physics; https://dx.doi.org/10.3390/e24050733 |
DOI: |
10.3390/e24050733 |
الاتاحة: |
https://doi.org/10.3390/e24050733 |
Rights: |
https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.166AE797 |
قاعدة البيانات: |
BASE |