具有随机逆动力学的低阶随机非线性时滞系统的事件触发输出反馈控制。

IF 6.6 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-03-01 Epub Date: 2025-02-22 DOI:10.1016/j.isatra.2024.12.031
Liuliu Zhang , Peng Wang , Changchun Hua
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引用次数: 0

摘要

研究了具有随机逆动力学的低阶随机非线性时滞系统的事件触发输出反馈控制问题。在继续之前,有必要解决几个技术障碍。首先,将变供给率策略与随机输入到状态稳定(SISS)策略配对,以解决不可测量的随机逆动力学问题。其次,设计了一种具有恒定增益的新型降阶观测器。此外,开发了一个事件触发的输出反馈控制器,并应用了一种新的分析方法来证明芝诺行为不会发生。利用李雅普诺夫稳定性理论,证明了闭环系统在概率上是全局渐近稳定的。最后,通过仿真实例验证了所提出的事件触发控制方案的有效性。
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Event-triggered output feedback control for low-order stochastic nonlinear time-delay systems with stochastic inverse dynamics
This paper focuses on the problem of event-triggered output feedback control for low-order stochastic nonlinear time-delay systems with stochastic inverse dynamics. Before proceeding, it is necessary to address several technical obstacles. Firstly, the strategy of varying the supply rate is paired with stochastic-input-to-state-stable (SISS) to address immeasurable stochastic inverse dynamics. Secondly, a novel reduced-order observer with a set of constant gains is designed. In addition, an event-triggered output feedback controller is developed and a new analytical approach is applied to show that the Zeno behavior does not happen. With the aid of the Lyapunov stability theory, it is proved that the closed-loop system is globally asymptotically stable in probability. Finally, a simulation example is presented to illustrate the effectiveness of the proposed event-triggered control scheme.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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