不确定中性系统的事件触发量化稳定技术

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-07-02 DOI:10.1007/s12555-023-0230-0
Yingqi Zhang, Qing Zhang, Caixia Liu
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引用次数: 0

摘要

本文研究了不确定中性系统的事件触发量化稳定问题。具体地说,基于合适的 Lyapunov 函数和松弛二次函数负确定性,共同设计事件触发量化控制器和其他变量参数,通过变量分离方法使有或无不确定因素的中性网络系统渐近稳定。此外,可行标准被描述为凸优化问题。一个实例证明了所提方法的有效性和较低的保守性。
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Event-triggered Quantized Stabilization for Uncertain Neutral Systems

This paper investigates the event-triggered quantized stabilization of uncertain neutral systems. Specifically, based on the suitable Lyapunov functional and relax quadratic function negative determination property, event-triggered quantized controllers and other variable parameters are co-designed, allowing neutral network systems with or without uncertainties to stabilize asymptotically via variable separation approaches. Additionally, the feasible criteria are characterized as convex optimization problems. An example demonstrates the effectiveness and less conservativeness of the proposed method.

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来源期刊
International Journal of Control Automation and Systems
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.
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