Improved adaptive resilient control against sensor and actuator attacks

An, Liwei; Yang, Guang‐Hong

doi:10.1016/j.ins.2017.09.042

Cited by 153 publications

(93 citation statements)

References 25 publications

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“…In this paper, owing to the existence of the attacks through the sensor networks, the sign of λ ( t ) is unknown and may change before and after the occurrence of the attacks, which implies that the proposed control methods in the aforementioned other works are no longer valid. As pointed out in the work of An and Yang, from the view of system theory, faults and attacks are fundamentally same. However, since the malicious attackers optimize the attack strategies coordinately, the attacks may be undetectable, while there is no collusion between the faults.…”

Section: Controller Designmentioning

confidence: 95%

“…The attack model in (2) means that all states share the same weight (t), which has been considered in other works. [11][12][13] In addition, in the case where the attacks cannot be parameterized, one can use a neural network universal function approximator to parameterize s (x i (t), t) on a compact subset.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…The same attack models have been studied in other works, [11][12][13] where only the linear systems are considered. Because of the existence of the unknown nonlinearities, the developed control schemes in the aforementioned works [11][12][13] are failure to ensure the stability of the systems. In this paper, by using backstepping technique and introducing novel coordinate transformations, the adaptive control laws for the CPSs with unknown nonlinearities are designed, where the boundedness of all the signals can be guaranteed.…”

Section: Controller Designmentioning

confidence: 99%

“…Taking both the sensor and actuator attacks into consideration, an adaptive control strategy was developed in Jin et al 12 Furthermore, an improved adaptive resilient control method which can ensure the asymptotic stability and transient performance was presented in the work of An and Yang. 13 When the sensor and actuator attacks are frequency constrained, the reliable control problem for CPSs was studied in the work of Huang and Dong. 14 Considering the attacks on communication links from controllers to actuators, Int J Robust Nonlinear Control.…”

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confidence: 99%

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Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks

Ren

Yang

2019

Intl J Robust & Nonlinear

108

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Summary This paper considers the adaptive control problem for a class of nonlinear cyber‐physical systems with unknown nonlinearities and false data injection attacks, where the sensors are corrupted by attackers. To mitigate the effects caused by the considered attacks, a novel coordinate transformation is developed in the backstepping control design. In addition, to deal with the multiple unknown time‐varying state feedback gains caused by the sensor attacks, the new types of Nussbaum functions are introduced in the adaptive control. By using Lyapunov stability theory, the proposed control scheme can guarantee all the closed‐loop system signals globally bounded. Finally, the examples demonstrate the effectiveness of the proposed method.

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Section: Controller Designmentioning

confidence: 95%

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Controller Designmentioning

confidence: 99%

mentioning

confidence: 99%

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Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks

Ren

Yang

2019

Intl J Robust & Nonlinear

108

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“…考虑到网络攻击者往往通过破坏系统测量输出或者控制输入信号实现对系统的欺骗攻击 [21] , 为了提高攻击成功率, 攻击者往往事先能够获取系统的测量输出信息 [22] , 并将该信息改造成具有欺骗性的恶意攻击信号. 本文假定攻击者事先能够获取系统待传输信号, 并且将攻击信号伪装成与系统测量输出相关的非线性函数, 即 h(y(t)), 该非线性函数满足假设 1 的约束.…”

Section: 系统模型unclassified

Event-based $H_\infty$ filter design for load-frequency control systems under cyber-attacks

2018

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This work investigated the design of an event-based H∞ filter for a class of load-frequency control systems under cyber-attacks. An event-triggered communication scheme was introduced to save the resources of limited network bandwidth by reducing the measurement output transmitted from the load-frequency control system. This model was established for the power systems by considering the stochastic cyber-attacks that exist during the transmission process. Sufficient conditions that guaranteed the stability of the load-frequency control system were obtained with Lyapunov stability theory on the basis of the established model. The design approach of H∞ filter was established by utilizing the linear matrix inequality technique. Finally, an application of the proposed approach was demonstrated.

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Model Reference Adaptive Control

Yucelen

2019

Wiley Encyclopedia of Electrical and Electronics Engineering

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Adaptive control methods present effective system‐theoretical tools in order to achieve closed‐loop system stability and performance in the presence of exogenous disturbances and system uncertainties, where they are generally classified as either direct or indirect. A well‐known class of direct adaptive control methods is model reference adaptive control architectures. In particular, these architectures employ two major components – a reference model and a parameter adjustment mechanism. A desired closed‐loop dynamical system response is captured by the reference model for which its response is compared with the response of the uncertain dynamical system. The system error signal resulting from this comparison drives the parameter adjustment mechanism. This mechanism then adjusts the controller parameters in a real‐time (i.e., online) manner for driving the trajectories of the uncertain dynamical system to the trajectories of the reference model. This article discusses these components in a basic state feedback setting in order to provide an introduction to the model reference adaptive control design procedure. The article also makes connections to several other, relatively advanced model reference adaptive control methods for interested readers.

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Improved adaptive resilient control against sensor and actuator attacks

Cited by 153 publications

References 25 publications

Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks

Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks

Event-based $H_\infty$ filter design for load-frequency control systems under cyber-attacks

Model Reference Adaptive Control

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