对受网络攻击和传感器扭曲影响的圆型延迟网络控制系统的扩展散散截断预测控制策略
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Scientific reports
|December 6, 2025
概括
本研究介绍了针对具有延迟和网络攻击的非线性网络控制系统 (NCS) 的截断预测控制 (TPC) 策略. 该方法确保了系统的稳定性和性能,尽管传感器扭曲和不确定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络控制系统 网络控制系统
- 非线性系统理论 非线性系统理论
背景情况:
- 网络控制系统 (NCS) 面临着时间延迟,传感器扭曲和网络攻击等挑战.
- 在这些条件下确保非线性NCS的稳定性和性能是复杂的.
- 扩展散散性能 (EDP) 是系统稳健性的关键指标.
研究的目的:
- 为延迟圆型非线性NCS (CNNCS) 开发一个强大的截止预测控制 (TPC) 战略.
- 以马尔科夫跳跃系统 (MJS) 为模型的传感器扭曲和使用伯努利分布建模的网络攻击来解决问题.
- 在不利条件下保证全球稳定性和所需的性能水平.
主要方法:
- 使用了利亚普诺夫稳定理论 (LST) 和线性矩阵不等式 (LMIs).
- 构建了一个合适的Lyapunov-Krasovskii函数 (LKF).
- 稳定的条件是在LMI框架内制定的.
主要成果:
- 为全球CNNCS稳定性建立了足够的条件.
- 该TPC战略有效地管理非线性,时间延迟和网络缺陷.
- 拟议的方法确保保持所需的性能水平.
结论:
- 开发的TPC策略为CNNCS面临延迟,扭曲和网络攻击提供了强大的解决方案.
- 基于LMI的方法提供了一种系统的方式,以确保系统的稳定性和性能.
- 数字示例验证了拟议的控制方法的有效性.
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