This paper investigates the sliding mode control(SMC) problem for a class of discrete-time nonlinear networked Markovian jump systems(MJSs) in the presence of probabilistic denial-of-service(Do S) attacks. The communi...This paper investigates the sliding mode control(SMC) problem for a class of discrete-time nonlinear networked Markovian jump systems(MJSs) in the presence of probabilistic denial-of-service(Do S) attacks. The communication network via which the data is propagated is unsafe and the malicious adversary can attack the system during state feedback. By considering random Denial-of-Service attacks, a new sliding mode variable is designed, which takes into account the distribution information of the probabilistic attacks. Then, by resorting to Lyapunov theory and stochastic analysis methods, sufficient conditions are established for the existence of the desired sliding mode controller, guaranteeing both reachability of the designed sliding surface and stability of the resulting sliding motion.Finally, a simulation example is given to demonstrate the effectiveness of the proposed sliding mode control algorithm.展开更多
For the beam splitter attack strategy against quantum key distribution using two-mode squeezed states, the analytical expression of the optimal beam splitter parameter is provided in this paper by applying the Shannon...For the beam splitter attack strategy against quantum key distribution using two-mode squeezed states, the analytical expression of the optimal beam splitter parameter is provided in this paper by applying the Shannon information theory. The theoretical secret information rate after error correction and privacy amplification is given in terms of the squeezed parameter and channel parameters. The results show that the two-mode squeezed state quantum key distribution is secure against an optimal beam splitter attack.展开更多
This paper analyses the issue of impact time control of super-cavitation weapons impact fixed targets which mainly refer to the ships or submarines who lost power, but still have combat capability. Control over impact...This paper analyses the issue of impact time control of super-cavitation weapons impact fixed targets which mainly refer to the ships or submarines who lost power, but still have combat capability. Control over impact time constraints of guidance law(ITCG) is derived by using sliding mode control(SMC) and Lyapunov stability theorem. The expected impact time is realized by using the notion of attack process and estimated time-to-go to design sliding mode surface(SMS). ITCG contains equivalent and discontinuous guidance laws, once state variables arrive at SMS,the equivalent guidance law keeps the state variables on SMS,then the discontinuous guidance law enforces state variables to move and reach SMS. The singularity problem of ITCG is also analyzed. Theoretical analysis and numerical simulation results are given to test the effectiveness of ITCG designed in this paper.展开更多
In recent years, cyber attacks have posed great challenges to the development of cyber-physical systems. It is of great significance to study secure state estimation methods to ensure the safe and stable operation of ...In recent years, cyber attacks have posed great challenges to the development of cyber-physical systems. It is of great significance to study secure state estimation methods to ensure the safe and stable operation of the system. This paper proposes a secure state estimation for multi-input and multi-output continuous-time linear cyber-physical systems with sparse actuator and sensor attacks. First, for sparse sensor attacks, we propose an adaptive switching mechanism to mitigate the impact of sparse sensor attacks by filtering out their attack modes. Second, an unknown input sliding mode observer is designed to not only observe the system states, sensor attack signals, and measurement noise present in the system but also counteract the effects of sparse actuator attacks through an unknown input matrix. Finally, for the design of an unknown input sliding mode state observer, the feasibility of the observing system is demonstrated by means of Lyapunov functions. Additionally, simulation experiments are conducted to show the effectiveness of this method.展开更多
The optimal consensus problem for linear two-time-scale multi-agent systems under malicious attacks is studied in this paper.Firstly,an integral sliding mode function is devised to guide the system trajectory towards ...The optimal consensus problem for linear two-time-scale multi-agent systems under malicious attacks is studied in this paper.Firstly,an integral sliding mode function is devised to guide the system trajectory towards the sliding mode surface and the impact of attacks can be eliminated.Then,the optional consensus problem is reformulated as a zero-sum game problem between each agent and its neighbouring agents.Thus,the game algebraic Riccati equation with singu-larly perturbed parameter is formulated.Furthermore,to avoid the requirement of the system dynamics information,an integral reinforcement learning algorithm is presented to obtain the optimal control policy for multi-agent systems.Compared with existing learning methods,the obtained reinforcement learning algorithm is devoid of potential calculation error issues from singularly perturbed parameter.Meanwhile,the convergence of the proposed algorithm is ver-ified.Finally,a simulation example is provided to demonstrate the efficacy of the proposed control method.展开更多
In this paper,a security defense issue is investigated for networked control systems susceptible to stochastic denial of service(DoS) attacks by using the sliding mode control method.To utilize network communication r...In this paper,a security defense issue is investigated for networked control systems susceptible to stochastic denial of service(DoS) attacks by using the sliding mode control method.To utilize network communication resources more effectively,a novel adaptive event-triggered(AET) mechanism is introduced,whose triggering coefficient can be adaptively adjusted according to the evolution trend of system states.Differing from existing event-triggered(ET) mechanisms,the proposed one demonstrates exceptional relevance and flexibility.It is closely related to attack probability,and its triggering coefficient dynamically adjusts depending on the presence or absence of an attack.To leverage attacker information more effectively,a switching-like sliding mode security controller is designed,which can autonomously select different controller gains based on the sliding function representing the attack situation.Sufficient conditions for the existence of the switching-like sliding mode secure controller are presented to ensure the stochastic stability of the system and the reachability of the sliding surface.Compared with existing time-invariant control strategies within the triggered interval,more resilient defense performance can be expected since the correlation with attack information is established in both the proposed AET scheme and the control strategy.Finally,a simulation example is conducted to verify the effectiveness and feasibility of the proposed security control method.展开更多
在可再生能源高渗透率的背景下,电力系统的负荷频率控制(load frequency control,LFC)面临虚假数据注入攻击(false data injection attack,FDIA)的安全威胁。现有检测方法难以有效区分控制输入攻击和测量数据攻击,影响系统的稳定性和安...在可再生能源高渗透率的背景下,电力系统的负荷频率控制(load frequency control,LFC)面临虚假数据注入攻击(false data injection attack,FDIA)的安全威胁。现有检测方法难以有效区分控制输入攻击和测量数据攻击,影响系统的稳定性和安全性。为此建立了包含可再生能源及储能系统的LFC状态空间模型,并分析了FDIA对系统动态特性的影响。通过状态空间分解方法将攻击信号解耦为控制输入攻击和测量攻击,提高检测精度。基于滑模观测器设计攻击估计方法,实现对攻击信号的实时检测。进一步结合H∞控制理论,提出了抗攻击控制(attack-resilient control,ARC)策略,以增强系统在攻击环境下的鲁棒性。仿真算例表明:与传统方法相比攻击估计均方误差降低约30%,系统频率响应稳定性显著提升。结果表明,该方法能够有效检测FDIA并提高电力系统的安全性和抗干扰能力。展开更多
基金supported in part by the National Natural Science Foundation of China(61773209)the Six Talent Peaks Project in Jiangsu Province(XYDXX-033)+1 种基金the Postdoctoral Science Foundation of China(2014M551598)the Natural Science Foundation of Jiangsu Province(BK20190021)。
文摘This paper investigates the sliding mode control(SMC) problem for a class of discrete-time nonlinear networked Markovian jump systems(MJSs) in the presence of probabilistic denial-of-service(Do S) attacks. The communication network via which the data is propagated is unsafe and the malicious adversary can attack the system during state feedback. By considering random Denial-of-Service attacks, a new sliding mode variable is designed, which takes into account the distribution information of the probabilistic attacks. Then, by resorting to Lyapunov theory and stochastic analysis methods, sufficient conditions are established for the existence of the desired sliding mode controller, guaranteeing both reachability of the designed sliding surface and stability of the resulting sliding motion.Finally, a simulation example is given to demonstrate the effectiveness of the proposed sliding mode control algorithm.
基金Project supported by the Shanghai Jiaotong University (SJTU) Young Teacher Foundation,China (Grant No A2831B)the SJTU Participating in Research Projects (PRPs),China (Grant No T03011030)the National Natural Science Foundation of China(Grant No 60472018)
文摘For the beam splitter attack strategy against quantum key distribution using two-mode squeezed states, the analytical expression of the optimal beam splitter parameter is provided in this paper by applying the Shannon information theory. The theoretical secret information rate after error correction and privacy amplification is given in terms of the squeezed parameter and channel parameters. The results show that the two-mode squeezed state quantum key distribution is secure against an optimal beam splitter attack.
基金supported by the National Natural Science Foundation of China(5137917651679201)
文摘This paper analyses the issue of impact time control of super-cavitation weapons impact fixed targets which mainly refer to the ships or submarines who lost power, but still have combat capability. Control over impact time constraints of guidance law(ITCG) is derived by using sliding mode control(SMC) and Lyapunov stability theorem. The expected impact time is realized by using the notion of attack process and estimated time-to-go to design sliding mode surface(SMS). ITCG contains equivalent and discontinuous guidance laws, once state variables arrive at SMS,the equivalent guidance law keeps the state variables on SMS,then the discontinuous guidance law enforces state variables to move and reach SMS. The singularity problem of ITCG is also analyzed. Theoretical analysis and numerical simulation results are given to test the effectiveness of ITCG designed in this paper.
基金supported by the National Science Foundation of China(Nos.62271293,61903238)the Natural Science Foundation of Shandong Province,China(No.ZR2021MF035)the Social Science Planning Project of Shandong Province,China(No.22CYYJ13).
文摘In recent years, cyber attacks have posed great challenges to the development of cyber-physical systems. It is of great significance to study secure state estimation methods to ensure the safe and stable operation of the system. This paper proposes a secure state estimation for multi-input and multi-output continuous-time linear cyber-physical systems with sparse actuator and sensor attacks. First, for sparse sensor attacks, we propose an adaptive switching mechanism to mitigate the impact of sparse sensor attacks by filtering out their attack modes. Second, an unknown input sliding mode observer is designed to not only observe the system states, sensor attack signals, and measurement noise present in the system but also counteract the effects of sparse actuator attacks through an unknown input matrix. Finally, for the design of an unknown input sliding mode state observer, the feasibility of the observing system is demonstrated by means of Lyapunov functions. Additionally, simulation experiments are conducted to show the effectiveness of this method.
基金funded by the National Natural Science Foundation of China[grant number 62103005]Open Fund Project of Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes[grant number CS2022-03]+1 种基金The Scientific Research Projects in Colleges and Universities of Anhui Province[grant number 2022AH050308]The Youth Foundation of Anhui University of Technology[grant number QZ202107].
文摘The optimal consensus problem for linear two-time-scale multi-agent systems under malicious attacks is studied in this paper.Firstly,an integral sliding mode function is devised to guide the system trajectory towards the sliding mode surface and the impact of attacks can be eliminated.Then,the optional consensus problem is reformulated as a zero-sum game problem between each agent and its neighbouring agents.Thus,the game algebraic Riccati equation with singu-larly perturbed parameter is formulated.Furthermore,to avoid the requirement of the system dynamics information,an integral reinforcement learning algorithm is presented to obtain the optimal control policy for multi-agent systems.Compared with existing learning methods,the obtained reinforcement learning algorithm is devoid of potential calculation error issues from singularly perturbed parameter.Meanwhile,the convergence of the proposed algorithm is ver-ified.Finally,a simulation example is provided to demonstrate the efficacy of the proposed control method.
基金supported in part by Shanghai Natural Science Foundation(24ZR1454700)the National Natural Science Foundation of China(62503331,62533016,62573279,62173231,62203288)Shanghai Pujiang Program(23PJD033)。
文摘In this paper,a security defense issue is investigated for networked control systems susceptible to stochastic denial of service(DoS) attacks by using the sliding mode control method.To utilize network communication resources more effectively,a novel adaptive event-triggered(AET) mechanism is introduced,whose triggering coefficient can be adaptively adjusted according to the evolution trend of system states.Differing from existing event-triggered(ET) mechanisms,the proposed one demonstrates exceptional relevance and flexibility.It is closely related to attack probability,and its triggering coefficient dynamically adjusts depending on the presence or absence of an attack.To leverage attacker information more effectively,a switching-like sliding mode security controller is designed,which can autonomously select different controller gains based on the sliding function representing the attack situation.Sufficient conditions for the existence of the switching-like sliding mode secure controller are presented to ensure the stochastic stability of the system and the reachability of the sliding surface.Compared with existing time-invariant control strategies within the triggered interval,more resilient defense performance can be expected since the correlation with attack information is established in both the proposed AET scheme and the control strategy.Finally,a simulation example is conducted to verify the effectiveness and feasibility of the proposed security control method.
文摘在可再生能源高渗透率的背景下,电力系统的负荷频率控制(load frequency control,LFC)面临虚假数据注入攻击(false data injection attack,FDIA)的安全威胁。现有检测方法难以有效区分控制输入攻击和测量数据攻击,影响系统的稳定性和安全性。为此建立了包含可再生能源及储能系统的LFC状态空间模型,并分析了FDIA对系统动态特性的影响。通过状态空间分解方法将攻击信号解耦为控制输入攻击和测量攻击,提高检测精度。基于滑模观测器设计攻击估计方法,实现对攻击信号的实时检测。进一步结合H∞控制理论,提出了抗攻击控制(attack-resilient control,ARC)策略,以增强系统在攻击环境下的鲁棒性。仿真算例表明:与传统方法相比攻击估计均方误差降低约30%,系统频率响应稳定性显著提升。结果表明,该方法能够有效检测FDIA并提高电力系统的安全性和抗干扰能力。
