Static output-feedback control for Cyber-physical LPV systems under DoS attacks

Pessim, Paulo S.P.; Peixoto, Márcia L. C.; Palhares, Reinaldo M.; Lacerda, Márcio J.

doi:10.1016/j.ins.2021.02.023

Cited by 30 publications

(19 citation statements)

References 33 publications

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“…Pre-and postmultiplying it by z(k) ⊤ and z(k), respectively, is equivalent to write ΔV(z(k)) < 0 with V(z(k)) � z(k) ⊤ P(ξ(k))z(k). From (11), it can be seen that P(ξ(k)) > 0, then the Lyapunov function V(z(k)) is positive definite concluding the proof.…”

Section: Lemma 1 If There Exist Symmetric Positive De Nite Matricesmentioning

confidence: 64%

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State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

Moreira

Lacerda

2022

Mathematical Problems in Engineering

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This paper addresses the state-feedback control problem for cyber-physical discrete-time linear systems. The main goal is to design state-feedback controllers that can mitigate the interference of replay attacks in the stability of the closed-loop system. The system under replay attack is modeled as a switched linear system, and a packet-based approach is employed for control design. New conditions in the form of Linear Matrix Inequalities are presented to provide stabilizing controllers. Numerical experiments illustrate the effectiveness of the proposed method.

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Section: Lemma 1 If There Exist Symmetric Positive De Nite Matricesmentioning

confidence: 64%

“…If the states of the system are not available, outputfeedback control strategies should be employed. Among others, output-feedback control strategies are dealing with switching systems, and CPS under DoS attacks [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

Moreira

Lacerda

2022

Mathematical Problems in Engineering

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“…Considering the limitation of DoS attacks and the different effects of two channels, a controller based on dynamic output feedback control is designed in Reference 35. In Reference 36, a gain‐scheduling output‐feedback controller design method that could reduce the effect of DoS attacks is proposed.…”

Section: Introductionmentioning

confidence: 99%

Predictive output feedback control of networked control system with Markov DoS attack and time delay

Xiang

Wen

et al. 2023

Intl J Robust & Nonlinear

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Summary This paper studies the networked control systems (NCS) predictive output feedback control issue with random time delay and denial of service (DoS) attacks. The mathematical description of the random DoS attacks and time delays in controller‐to‐actuator (C‐A) and sensor‐to‐controller (S‐C) communication channels is researched based on Markov stochastic theory. Considering the random characteristics of network‐induced attacks and delays, the closed‐loop NCS is modeled as a discrete‐time linear system with Markov DoS attack and time delay. The stochastic stability criterion of a class of networked predictive control systems with random attack and delay is proposed based on Lyapunov stability theory and the predictive compensation control method. The networked model predictive output feedback controller is designed by applying the parameter compensation method and linear matrix inequality (LMI) technique. Numerical simulation results are proposed to verify the effectiveness of the proposed control strategy.

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“…However, conservatism reduction can be obtained by considering

P\left(\theta (t)\right)

, since it enables the search for multiple Lyapunov matrices that can guarantee stability and performance for the entire range of parameter variations. Undeniably, research on LPV systems is still a hot‐topic in control literature, with quite innovative contributions, as for descriptor systems, 12,13 on event‐triggered control, 14,15 and also cyber‐physical LPV systems, 16 for instance.…”

Section: Introductionmentioning

confidence: 99%

Stabilization and disturbance rejection with decay rate bounding in discrete‐time linear parameter‐varying systems via ℋ_∞gain‐scheduling static output feedback control

Sereni

Assunção

Teixeira

2022

Intl J Robust & Nonlinear

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The stabilization of discrete‐time linear parameter‐varying (LPV) systems via gain‐scheduling static output feedback (SOF) control is addressed in this article. We propose new sufficient linear matrix inequalities (LMI) conditions for synthesizing a gain‐scheduled SOF controller that ensures asymptotic stability and also imposes a lower bound on the closed‐loop decay rate. The SOF controller design is based on a two‐step method: a state‐feedback controller is obtained in a first‐stage design, which is then used as input information in the second stage for computing the desired gain‐scheduled SOF controller. The proposed LMI constraints are given in terms of the existence of affine parameter‐dependent Lyapunov functions, considering arbitrarily fast variation of the time‐varying parameters. An extension for coping with disturbance rejection is also proposed, in terms of the scriptH∞$$ {\mathcal{H}}_{\infty } $$ guaranteed cost optimization. Some numerical experiments are presented to illustrate the control synthesis procedure and its efficacy. Also, feasibility analyses are presented to compare and show the advantages of our results over other available strategies present in literature.

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Static output-feedback control for Cyber-physical LPV systems under DoS attacks

Cited by 30 publications

References 33 publications

State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

Predictive output feedback control of networked control system with Markov DoS attack and time delay

Stabilization and disturbance rejection with decay rate bounding in discrete‐time linear parameter‐varying systems via ℋ_∞gain‐scheduling static output feedback control

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Static output-feedback control for Cyber-physical LPV systems under DoS attacks

Cited by 30 publications

References 33 publications

State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

Predictive output feedback control of networked control system with Markov DoS attack and time delay

Stabilization and disturbance rejection with decay rate bounding in discrete‐time linear parameter‐varying systems via ℋ∞gain‐scheduling static output feedback control

Contact Info

Product

Resources

About

Stabilization and disturbance rejection with decay rate bounding in discrete‐time linear parameter‐varying systems via ℋ_∞gain‐scheduling static output feedback control