非周期图
灵活性(工程)
模糊逻辑
控制理论(社会学)
模糊控制系统
计算机科学
约束(计算机辅助设计)
区间(图论)
自适应控制
理论(学习稳定性)
数学
控制(管理)
人工智能
机器学习
组合数学
统计
几何学
作者
You Zheng,Huaicheng Yan,Hao Zhang,Yunsong Hu,Song Zhu
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-11-01
卷期号:31 (11): 4085-4096
标识
DOI:10.1109/tfuzz.2023.3276818
摘要
This article is devoted to designing a novel aperiodic sampled-data-based event-triggered control strategy for Takagi–Sugeno fuzzy systems. First, via taking the structural features of fuzzy subsystems and the available information of fuzzy membership functions into consideration, an improved fuzzy-dependent adaptive event-triggered mechanism, which designs different adaptive event-triggered mechanisms for corresponding fuzzy subsystems, is proposed to provide extra design flexibility and further optimize communication efficiency. Then, the two-side looped-functional method and dynamic partitioning approach are introduced in the construction of the novel Lyapunov–Krasovskii functional (LKF). These two methods contribute to deriving preferable stability criterion and stabilization approach via relaxing the positive definite constraint on LKF and fully utilizing the inner system state during the whole aperiodic sampling interval. Eventually, two simulation examples are introduced to verify the effectiveness of the proposed control strategy and its advantages in lightening communication frequency.
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