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针对一类网络化控制系统,当考虑网络控制系统遭受PWM (Pulsewidth-Modulated)型DoS (Denial-of-Service, DoS)攻击时,提出一种基于缓存机制的记忆型事件触发机制策略.本文考虑的DoS攻击可检测,并且攻击的周期时长以及每周期内的最短休眠时间已知.为了减少网络控制系统中数据包的发送频次,本文设计了基于相对误差的新型事件触发策略,与传统事件触发策略相比,通过增加缓存器来有效利用已经发送的历史采样数据,最终达到改善系统动态过程的目的.接下来,综合考虑网络攻击和事件触发方案,建立了网络化切换系统模型,构造分段李雅普诺夫泛函,推导出系统指数稳定的结论并且对控制器增益及事件触发参数进行协同设计.最后,通过仿真案例,验证了所提出方法的有效性. 相似文献
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针对信息物理系统(CPS)安全控制设计问题,提出拒绝服务(DoS)攻击下具有任意有界丢包的事件触发预测控制(ETPC)方法.首先,考虑DoS攻击能量的有限性及攻击行为的任意性,将DoS攻击描述为事件触发通信机制下的任意有界丢包;其次,在控制器端利用最近一次收到的状态信息进行控制器增益序列的预测设计以补偿DoS攻击造成的数据包丢失;随后,基于Lyapunov稳定性理论及切换系统分析方法考虑了DoS攻击下CPS的安全性并给出了控制序列设计方法.所提出的ETPC设计方法只需利用最近时刻收到的状态信息,无需满足传统CPS稳定性对最大允许丢包数的约束,为大时滞CPS的稳定性分析及控制提供了有效的解决方案.最后,通过仿真实例验证所提出的基于事件触发预测控制设计方法的有效性. 相似文献
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工业信息物理系统(ICPS)恶劣的工业环境使得无线通信网络的通信资源有限, 且通信网络的脆弱性使得系统的稳定性容易受到数据注入攻击的破坏. 本文基于输入到状态理论, 采用H1观测器、预测器和事件触发器建立基于事件触发的ICPS模型来降低通信资源的利用率, 并构造基于改进卡尔曼滤波器的攻击补偿模块进行攻击补偿, 攻击补偿模块的参数随着攻击者攻击策略不同而进行改变, 实现对数据注入攻击的弹性控制. 用matlab软件进行仿真实验, 以倒立摆作为被控对象, 模拟基于事件触发的ICPS模型受到数据注入攻击时系统的稳定性能. 仿真结果表明, 事件触发控制策略和基于改进卡尔曼滤波器的攻击补偿模块的组合不仅能够保证系统期望的稳定性, 还能有效减少数据通过无线网络传输的次数. 相似文献
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针对混合攻击下多智能体系统基于观测器的事件触发一致性问题,设计观测器以估计智能体不可测的状态,引入事件触发机制以减少智能体的通信频次与控制器的更新频次。首先,考虑拒绝服务(DoS)攻击和重放攻击同时存在的情况,建立数学模型,并设计基于观测器的事件触发一致性控制协议。其次,针对不同的攻击情况,建立误差切换系统模型,并且采用分段Lyapunov函数方法得出误差系统均方指数稳定的充分条件。然后,通过求解一系列线性矩阵不等式,给出一致性控制器、观测器与事件触发参数的设计方法。最后,通过仿真实例证明了所提方法的可行性。 相似文献
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针对非线性网络控制系统存在的拒绝服务(DoS)攻击设计一种具有动态事件触发策略的H∞安全控制器.首先,将DoS攻击引起的丢包影响作为触发条件的不确定性,针对这个不确定性以及在静态事件触发中引入一个内部动态参数,设计动态事件触发机制,在此基础上设计具有H∞性能的安全控制器.然后,考虑网络通道中网络诱导时延对系统的影响,建立能够体现时延上下界信息的Lyapunov-Krasovskii泛函,依据Lyapunov稳定性理论、Young’s不等式、Schur补引理、单边Lipschitz条件、二次内有界和动态事件触发条件推导出系统存在安全控制器的条件,继续利用一些特殊导数,将双线性矩阵不等式转化为一组线性矩阵不等式,从而实现触发参数与反馈增益的协同设计,同时保证存在DoS攻击的安全性能.最后,通过一个数值例子验证所提方法的有效性. 相似文献
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针对存在拒绝服务(DoS)攻击与执行器故障的工业信息物理融合系统(ICPS),将机理解析与数据驱动方法相结合,在新型自适应事件触发通信机制下,研究双重安全控制问题.首先,设计自适应事件触发机制,能够触发参数随系统行为动态自适应变化,节约更多网络通信资源;其次,基于系统最大允许时延建立攻击检测机制,可以有效区分大、小能量DoS攻击;再次,基于极限学习机算法(ELM)建立时序预测模型,用于大能量DoS攻击时重构修正控制量,以主动容侵攻击的影响,并给出与小能量攻击时机理解析的弹性被动容侵来提升系统对攻击的防御能力;然后,借助T-S模糊理论、时滞系统理论、新型Bessel-Legendre不等式等,推证得到系统鲁棒观测器及双重安全控制器的解析求解方法,使双重安全控制与通讯性能得到折衷协同提升;最后,通过实例仿真验证所提出方法的有效性. 相似文献
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本文研究了拒绝服务攻击下网络随机控制系统的攻击参数依赖型观测器与控制器协同设计问题.首先,将拒绝服务(DoS)攻击建模为周期脉宽调制干扰信号,并构造了Luenberger观测器来估计不可测的系统状态.其次,设计了基于观测器的控制器,提出一种新的切换随机系统模型.然后,引入DoS攻击参数依赖型随机时变李雅普诺夫函数分析切换随机系统.给出了切换随机系统均方指数稳定的判据,并使闭环系统具有L_(2)增益性能水平.同时通过应用矩阵不等式技术,给出了攻击参数依赖型观测器与控制器的协同设计方案.最后,以一种飞行器系统为例,验证了该方案的有效性. 相似文献
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研究基于T-S模糊模型的直流微电网(DC-MG)系统在拒绝服务(DoS)和虚假数据注入(FDI)混合攻击下的协同估计控制框架.考虑网络化T-S模糊模型和并行分布补偿(PDC)模糊控制规则中的非均匀时间尺度,建立DC-MG系统的T-S模型.为了放宽现有的DoS攻击模型通常假定攻击的频率和持续时间均有限的要求,在攻击信号的休眠和活跃期的已知范围内提出一种新的DoS攻击模型.同时,构造一个切换脉冲观测器来估计由外部动态系统产生的未知FDI攻击信号.然后,利用依赖于攻击参数的时变Lyapunov函数方法,导出系统在混合攻击下的指数稳定性判据.此外,基于线性矩阵不等式给出了模糊控制器和FDI攻击观测器的联合设计方法.最后,通过案例研究验证了所提出理论结果的有效性. 相似文献
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Xianggui Guo Dongyu Zhang Jianliang Wang Choon Ki Ahn 《IEEE/CAA Journal of Automatica Sinica》2021,8(10):1644-1656
This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM’s updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme. 相似文献
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This paper studies event-triggered containment control problem of multi-agent systems (MASs) under deception attacks and denial-of-service (DoS) attacks. First, to save limited network resources, an event-triggered mechanism is proposed for MASs under hybrid cyber attacks. Different from the existing event-triggered mechanisms, the negative influences of deception attacks and DoS attacks are considered in the proposed triggering function. The communication frequencies between agents are reduced. Then, based on the proposed event-triggered mechanism, a corresponding control protocol is proposed to ensure that the followers will converge to the convex hull formed by the leaders under deception attacks and DoS attacks. Compared with the previous researches about containment control, in addition to hybrid cyber attacks being considered, the nonlinear functions related to the states of the agents are applied to describe the deception attack signals in the MAS. By orthogonal transformation of deception attack signals, the containment control problem under deception attacks and DoS attacks is reformulated as a stability problem. Then, the sufficient conditions on containment control can be obtained. Finally, a set of simulation example is used to verify the effectiveness of the proposed method. 相似文献
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This paper investigates the resilient control problem for constrained continuous‐time cyber‐physical systems subject to bounded disturbances and denial‐of‐service (DoS) attacks. A sampled‐data robust model predictive control law with a packet‐based transmission scheduling is taken advantage to compensate for the loss of the control data during the intermittent DoS intervals, and an event‐triggered control strategy is designed to save communication and computation resources. The robust constraint satisfaction and the stability of the closed‐loop system under DoS attacks are proved. In contrast to the existing studies that guarantee the system under DoS attacks is input‐to‐state stable, the predicted input error caused by the system constraints can be dealt with by the input‐to‐state practical stability framework. Finally, a simulation example is performed to verify the feasibility and efficiency of the proposed strategy. 相似文献
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Event‐triggered predictive control for networked control systems with network‐induced delays and packet dropouts
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This paper presents an event‐triggered predictive control approach to stabilize a networked control system subject to network‐induced delays and packet dropouts, for which the states are not measurable. An observer‐based event generator is first designed according to the deviation between the state estimation at the current time and the one at the last trigger time. A predictive control scheme with a selector is then proposed to compensate the effect of network‐induced delays and packet dropouts. Sufficient conditions for stabilization of the networked control system are derived by solving linear matrix inequalities and the corresponding gains of the controller and the observer are obtained. It is shown that the event‐triggered implementation is able to realize reduction in communication and save bandwidth resources of feedback channel networks. A simulation example of an inverted pendulum model illustrates the efficacy of the proposed scheme. 相似文献
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In this article, the resilient control for networked control systems in the presence of denial-of-service (DoS) attacks is investigated in a sampled-data and dynamic quantization scheme. A novel dynamic quantization strategy is designed for signal transmissions from encoding systems to decoding systems, in which the quantized states are transmitted through networks with a risk of DoS attacks. An estimator is introduced to the design of control laws. Some sufficient conditions in terms of quantization levels, DoS attack duration and frequencies are given for the asymptotic stability of networked control systems. Furthermore, an event-triggered communication scheme is designed for signal transmissions in control channels to reduce network resource consumption. The Zeno behavior is excluded in the designed event-triggered communication scheme. The quantization levels can be adaptively adjusted according to real-time situations. Finally, the effectiveness of the proposed strategy is illustrated by simulations. 相似文献
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Observer-based model predictive control (MPC) for the discrete-time switched systems suffered by event-triggered mechanism and denial-of-service (DoS) attacks is discussed in this paper. We assume that the switch is slow enough and the attacker's energy is limited. To save network resources, an event-triggered mechanism is designed based on dwell time and triggered error. Under the coupled influence of attack and trigger, a complex mismatch of system mode and controller mode occurs, which brings difficulties to the transformation of MPC optimization problem. To address this problem, a new performance index coefficient is designed by using the increasing/decreasing law of Lyapunov function. On this basis, the transformation of the optimization problem is realized. Then, the controller gain and observer gain for the attack-free case are designed to guarantee the exponential convergence of the closed-loop system. In the presence of attacks, we obtain the upper bound of attack duty cycle, below which the exponential convergence of the system can still be archived. An example is illustrated at last to verify the validity of the main results. 相似文献
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为了减少有限网络带宽不必要的浪费,针对一类网络串级控制系统,首次引入事件触发机制,并在此基础上考虑系统的串级控制器设计问题,通过对系统稳定性进行分析,设计可靠的主控制器和副控制器.考虑信号传输造成的时延影响,首先建立带有事件触发机制的网络串级控制系统数学模型;然后利用李雅普诺夫稳定性理论和线性矩阵不等式技术,给出基于事件触发机制的系统稳定的充分条件,并且设计相应的主控制器和副控制器;最后通过仿真实例验证所提出的方法在网络串级控制系统中的有效性,即引入事件触发机制后,设计的主、副控制器使得在系统稳定的前提下,信号传输的间隔变大,从而减小网络的拥塞,提高网络带宽的有效利用率. 相似文献