Resilient Filtering of Nonlinear Complex Dynamical Networks Under Randomly Occurring Faults and Hybrid Cyber-Attacks

Ding, Derui; Liu, Huanyi; Dong, Hongli; Liu, Hongjian

doi:10.1109/tnse.2022.3163258

Cited by 18 publications

(2 citation statements)

References 43 publications

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“…In [24], the event-based security control issues in discrete-time NCSs were addressed to reduce the influences of deception attacks and DoS attacks. Different from the above results, this paper applies a game-theoretic approach to design a secure tracking control scheme, which is capable of simultaneously resisting the influence of DoS attacks and external disturbance [25][26][27]. However, as far as we know, limited works can be found on the topic of secure tracking control problem using reinforcement learning (RL) methods.…”

Section: Introductionmentioning

confidence: 99%

Tracking control for networked control systems with DoS attacks via reinforcement learning method

Liu

Dong

Zha

et al. 2023

Preprint

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This paper is concerned with the tracking control problem for a class of networked systems subject to denial-of-service (DoS) attacks using reinforcement learning methods. Taking the effects of DoS attacks into consideration, a novel value function is proposed, which considers the cost of the control input, external disturbance and tracking error. Then, using the structure of the value function, the tracking Bellman equation and Hamilton function are defined. By employing the Bellman optimality theory, the optimal control strategy and the game algebraic Riccati equation (GARE) are solved with the Hamilton function. Next, the desired tracking performance is guaranteed as the solution of the GARE is found. Furthermore, an attacks-based Q-learning algorithm is projected to find the solution to the optimal tracking problem without the system dynamics and the convergence of the Q-learning algorithm is given. Finally, the F-404 aircraft engine system is given to verify the effectiveness of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%

Tracking control for networked control systems with DoS attacks via reinforcement learning method

Liu

Dong

Zha

et al. 2023

Preprint

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“…Therefore, we consider the resilient/non‐fragile in the design of the filter to tolerate the gain parameters uncertainties and quantify the gain disturbance insensitivity. In recent years, studies on resilient/non‐fragile filter 19–26 have appeared successively, but these studies focued on Kalman filtering and

{H}_{\infty }

filtering, and a few studies focued on SMF. This motivates ue to study resilient set‐member filtering in this paper.…”

Section: Introductionmentioning

confidence: 99%

Partial‐node‐based resilient set‐membership filtering for output‐coupled complex networks with event‐triggered mechanisms

Lin,

Shen,

Liu

et al. 2024

Intl J Robust & Nonlinear

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This paper studies the resilient set‐membership filtering for discrete‐time nonlinear complex networks with output‐coupled topologies. An event‐triggered mechanism (ETM) is employed to save communication resources from the sensor to the filter. A resilient set‐membership filter (RSMF) handles unknown bounded uncertainty, resists the gain perturbation and makes the estimation errors to a certain ellipsoid region. Sufficient conditions for the existence of the RSMF are derived using mathematical induction techniques. The filter gain can be determined on the basis of solving a specific set of recursive matrix inequalities. Then, by optimizing the constrained ellipsoid of the estimation error, the optimized filtering performance is ensured. Finally, a numerical example is given to demonstrate the effectiveness of the proposed RSMF.

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Practical stabilization of multi-links highly nonlinear Takagi-Sugeno fuzzy complex networks with Lévy noise based on aperiodically intermittent discrete-time observation control

Chen,

Fan,

Wang

et al. 2024

Applied Mathematics and Computation

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Resilient Filtering of Nonlinear Complex Dynamical Networks Under Randomly Occurring Faults and Hybrid Cyber-Attacks

Cited by 18 publications

References 43 publications

Tracking control for networked control systems with DoS attacks via reinforcement learning method

Tracking control for networked control systems with DoS attacks via reinforcement learning method

Partial‐node‐based resilient set‐membership filtering for output‐coupled complex networks with event‐triggered mechanisms

Practical stabilization of multi-links highly nonlinear Takagi-Sugeno fuzzy complex networks with Lévy noise based on aperiodically intermittent discrete-time observation control

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