参数不确定的延迟卡普托型模糊神经网络的新型自适应引脚同步准则

IF 2.9 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Control Automation and Systems Pub Date : 2024-09-02 DOI:10.1007/s12555-023-0908-3

Renyu Ye, Xinbin Chen, Hai Zhang, Jinde Cao

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引用次数: 0

摘要

本文讨论了包含不确定参数的延迟分数阶模糊神经网络（FOFNN）的一些同步问题。首先，通过自适应控制器得出了完全同步（CS）准则。这种控制策略可以有效降低控制成本。接下来，应用针刺控制器，通过控制部分节点来推断 CS 条件。同时，考虑到自适应控制和插针控制的优势，我们建立了一个自适应插针控制器来达到 CS。最后，我们给出了一些数值示例来证明推导出的标准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Novel Adaptive Pinning Synchronization Criteria for Delayed Caputo-type Fuzzy Neural Networks With Uncertain Parameters

In this article, some synchronization issues for delayed fractional-order fuzzy neural networks (FOFNNs) including uncertain parameters are discussed. To begin with, the complete synchronization (CS) criterion is derived through the adaptive controller. This control strategy can effectively reduce control costs. Next, applying the pinning controller, the CS condition is inferred by controlling partial nodes. Meanwhile, considering the advantages of adaptive and pinning control, an adaptive pinning controller is established to reach CS. Finally, we present some numerical examples to demonstrate the derived criteria.

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来源期刊

International Journal of Control Automation and Systems 工程技术-自动化与控制系统

CiteScore

5.80

自引率

21.90%

发文量

343

审稿时长

8.7 months

期刊介绍： International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.