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Event-triggered attack-tolerant tracking control design for networked nonlinear control systems under DoS jamming attacks
Science China Information Sciences ( IF 7.3 ) Pub Date : 2020-03-30 , DOI: 10.1007/s11432-019-2691-4
Xiaoli Chen , Youguo Wang

This paper addresses the problem of event-triggered attack-tolerant tracking control for a networked nonlinear system under spasmodic denial-of-service (DoS) attacks. Compared with some existing results, the exact duration of DoS attacks is not required while only assuming attainable bounds of attack frequency and duration. First, a new event-triggered attack-tolerant fuzzy tracking controller is proposed, to reduce the amount of sensor data transmissions over the sensor-to-controller (S-C) channel while counteracting unknown DoS attacks. Second, for the purpose of performance analysis and synthesis, a unified event-triggered Takagi-Sugeno (T-S) fuzzy switched model is established, which accounts for a suitable attackresilient event-triggered communication scheme and unknown DoS jamming signals. Third, using piecewise Lyapunov-Krasovskii functional (PLKF) analysis technique, a new criterion is derived to ensure exponential stability of the resulting switched tracking error system while achieving a weighted H1 performance level. Additionally, the relationship among the parameters of a DoS attack signal, the triggering parameters, the fuzzy controller gains, the sampling period, and the decay rate can be quantitatively characterized. Moreover, the triggering matrix parameter and fuzzy controller gains are obtained by finding a feasible solution to a set of linear matrix inequalities (LMIs). Finally, numerical verification is performed to demonstrate the effectiveness of the proposed control design method.



中文翻译:

DoS干扰攻击下网络非线性控制系统的事件触发容错跟踪控制设计

本文针对网络非线性系统在痉挛性拒绝服务(DoS)攻击下的事件触发的容错跟踪控制问题。与某些现有结果相比,DoS攻击的确切持续时间不是必需的,而只是假设攻击频率和持续时间是可以达到的。首先,提出了一种新的事件触发的容错模糊跟踪控制器,以减少传感器到控制器(SC)通道上的传感器数据传输量,同时抵消未知的DoS攻击。其次,出于性能分析和综合的目的,建立了统一的事件触发的Takagi-Sugeno(TS)模糊切换模型,该模型考虑了合适的防攻击事件触发的通信方案和未知的DoS干扰信号。第三,使用分段Lyapunov-Krasovskii功能(PLKF)分析技术,得出了一个新的标准,以确保所得切换跟踪误差系统的指数稳定性,同时达到加权的H1性能水平。另外,可以定量地表征DoS攻击信号的参数,触发参数,模糊控制器增益,采样周期和衰减率之间的关系。此外,通过找到一组线性矩阵不等式(LMI)的可行解,可以获得触发矩阵参数和模糊控制器增益。最后,进行数值验证以证明所提出的控制设计方法的有效性。得出了一个新的标准,以确保所产生的切换跟踪误差系统的指数稳定性,同时达到加权的H1性能水平。另外,可以定量地表征DoS攻击信号的参数,触发参数,模糊控制器增益,采样周期和衰减率之间的关系。此外,通过找到一组线性矩阵不等式(LMI)的可行解,可以获得触发矩阵参数和模糊控制器增益。最后,进行数值验证以证明所提出的控制设计方法的有效性。得出了一个新的标准,以确保所产生的切换跟踪误差系统的指数稳定性,同时达到加权的H1性能水平。另外,可以定量地表征DoS攻击信号的参数,触发参数,模糊控制器增益,采样周期和衰减率之间的关系。此外,通过找到一组线性矩阵不等式(LMI)的可行解,可以获得触发矩阵参数和模糊控制器增益。最后,进行数值验证以证明所提出的控制设计方法的有效性。衰减率可以定量表征。此外,通过找到一组线性矩阵不等式(LMI)的可行解,可以获得触发矩阵参数和模糊控制器增益。最后,进行数值验证以证明所提出的控制设计方法的有效性。衰减率可以定量表征。此外,通过找到一组线性矩阵不等式(LMI)的可行解,可以获得触发矩阵参数和模糊控制器增益。最后,进行数值验证以证明所提出的控制设计方法的有效性。

更新日期:2020-04-22
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