文献类型：期刊文献

中文题名：网络攻击下非线性CPSs的事件触发自适应控制

英文题名：Event-Triggered Adaptive Control of Nonlinear Cyber-Physical Systems Under Network Attacks

作者：陈泽彬[1];余昭旭[1];李树刚[2]

机构：[1]华东理工大学能源化工过程智能制造教育部重点实验室,上海200237;[2]上海大学信息管理系,上海200444

年份：2024

卷号：50

期号：3

起止页码：411

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：;Scopus;北大核心:【北大核心2023】；CSCD:【CSCD_E2023_2024】；

基金：国家自然科学基金(71871135)。

语种：中文

中文关键词：非线性CPSs;网络攻击;自适应控制;动态面控制;事件触发

外文关键词：nonlinear CPSs;network attacks;adaptive control;DSC;event-triggered

摘要：本文研究了网络攻击下一类控制方向未知的非线性信息物理系统(Cyber-Physical Systems,CPSs)的自适应输出反馈控制问题。通过引入合适的线性状态变换,将原系统转化为便于输出反馈控制设计的新系统。采用Nussbaum增益函数方法克服未知的控制系数和网络攻击所带来的设计困难。基于观测器状态和受攻击的测量输出信号,采用神经网络逼近方法,提出了一种新的事件触发自适应输出反馈控制策略。该控制策略不但大大降低数据的传输量,而且保证闭环系统是半全局一致最终有界的。另外,采用基于非线性滤波器的动态面控制方法可以克服反步法设计中惯有的“复杂性爆炸”问题。最后,通过机械手系统验证所提出控制方法的有效性和实用性。
The problem of adaptive output feedback control for a class of nonlinear Cyber-Physical Systems(CPSs)with unknown control direction under sensor and actuator attacks is studied.By implementing a suitable linear state transformation,the original system is transformed into a new system for facilitating the design of output feedback controller.Nussbaum gain function method is adopted to overcome the design difficulty resulted from unknown control coefficients and network attacks.Based on the state estimate and the attacked measurement output signal,a new event-triggered adaptive output-feedback control strategy is proposed by means of neural network approximation method.The proposed controller can not only achieve the semi-globally uniformly ultimately boundedness of the closed-loop system,but also greatly reduce the number of transmitted data.In addition,the"complexity explosion"problem in backstepping design can be overcome by means of the dynamic surface control(DSC)method based on a nonlinear filter.Finally,a robotic arm system is utilized to verify the effectiveness and practicality of the proposed control method.