针对受到网络攻击和执行器和的非线性系统,基于自适应事件触发的高效模型预测控制:一种衰变聚合方法
Xiangqi Zuo1, Xiaoming Tang1, Xi Su1
1The Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China; The College of Automation and Advanced Scientic Research Institute, Chongqing University of Posts and Telecommunications, Chongqing, China.
本研究为非线性系统引入了一个自适应事件触发衰变聚合高效模型预测控制 (DAEMPC). 这种新的方法提高了通信效率,并减少了网络控制系统中的计算负载.
科学领域:
- 控制系统工程 控制系统工程
- 人工智能的人工智能
- 网络化系统 网络化系统
背景情况:
- 由于网络攻击和执行器和等复杂性,非线性系统的控制具有挑战性.
- 现有的模型预测控制 (MPC) 方法可能是通信密集型和计算要求高的.
研究的目的:
- 开发一种基于事件触发的衰变聚合效率模型预测控制 (DAEMPC) 的新型模型,用于非线性间隔型-2 T-S模糊系统.
- 解决网络攻击 (例如,拒绝服务) 和网络控制系统 (NCS) 中的执行器和问题.
- 提高通信资源利用率,降低计算负担.
主要方法:
- 使用自适应事件触发 (AET) 策略来优化传感器和控制器之间的数据传输.
- 一个伯努利随机过程模拟了拒绝服务 (DoS) 攻击,而多类描述处理了执行器和.
- DAEMPC涉及离线计算的控制规律和可行集,在线优化扰动变量.
主要成果:
- AET战略有效地管理了NCS的通信资源.
- DAEMPC算法成功地弥补了网络缺陷,并扩大了最初可行的集合.
- 与传统方法相比,拟议的方法显示了计算负担的显著降低.
结论:
- 基于AET的DAEMPC是非线性NCS的有效和有效的控制策略.
- 这种方法在通信效率和计算负载方面提供了更好的性能.
- 该方法的有效性通过在连续动坦克反应堆 (CSTR) 上的模拟证实.
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