事件(粒子物理)
符号
功能(生物学)
模糊逻辑
计算机科学
算法
机制(生物学)
数学
理论计算机科学
离散数学
算术
人工智能
哲学
物理
认识论
量子力学
进化生物学
生物
作者
Qinghua Hou,Jiuxiang Dong
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): 4075-4084
被引量:8
标识
DOI:10.1109/tfuzz.2023.3273080
摘要
This article considers the $H_{\infty }$ control problem in the finite-time horizon for a class of Takagi–Sugeno (T–S) fuzzy systems that frequently work under a certain fuzzy rule. By assigning different weights to $H_{\infty }$ indexes of different subsystems, a novel finite-time membership-function-dependent $H_{\infty }$ performance is proposed. Then, better disturbance rejection can be achieved for this specific type of T–S fuzzy system. In order to save the system resources, an event-triggered mechanism is developed. Different from the widely existing dynamic event-triggered mechanism, a dynamic memory event-triggered mechanism is established by introducing dynamic variables with memory. Rigorous theoretical analysis shows that the proposed dynamic memory event-triggered mechanism possesses larger event-triggered intervals than the existing dynamic event-triggered mechanism. This facilitates the implementation of the proposed scheme in real systems, as real physical components require time intervals between successive event executions. Furthermore, based on the newly proposed index and dynamic memory event-triggered mechanism, the finite-time event-triggered $H_{\infty }$ control problem of the considered system is solved. Finally, a practical example is employed to display the efficacy of the proposed scheme.
科研通智能强力驱动
Strongly Powered by AbleSci AI