Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks

Yang, Yue; Huang, Jiangshuai; Su, Xiaojie; Wang, Kai; Li, Guoqi

doi:10.1109/tsmc.2020.3003801

Cited by 78 publications

(32 citation statements)

References 46 publications

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“…Consider the solvable parameters P and Ψ in Theorem 2. The states of system (1) will be driven onto the sliding region under the condition of security SMC law (8) with χ satisfying…”

Section: Reachability Of Sliding Surfacementioning

confidence: 99%

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Security SMC for Networked Fuzzy Singular Systems With Semi-Markov Switching Parameters

Han

Xie

et al. 2022

IEEE Access

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In this paper, the issue of security sliding mode control (SMC) is addressed for networked nonlinear singular systems with semi-Markov switching parameters via the Takagi-Sugeno (T-S) fuzzy strategy. The goal is to guarantee a good steady performance of dynamical systems under the framework of deception attacks. First, the common sliding surface is proposed to avoid the potential instability caused by repeated jumps of sliding surface. Then, based on the partly unknown transition rate, sufficient conditions are constructed to realize the stochastic admissibility for the corresponding system. Moreover, a fuzzy security SMC law is designed to drive the state trajectory onto the specified sliding region. Finally, a practical example is shown to validate the proposed algorithm.

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“…Consider the solvable parameters P and Ψ in Theorem 2. The states of system (1) will be driven onto the sliding region under the condition of security SMC law (8) with χ satisfying…”

Section: Reachability Of Sliding Surfacementioning

confidence: 99%

“…In fact, the false data injection attacks are recognized as a typical representative of deception attacks. Recently, a wonderful amount of significant research works have been developed for the corresponding security control system with deception attacks [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Security SMC for Networked Fuzzy Singular Systems With Semi-Markov Switching Parameters

Han

Xie

et al. 2022

IEEE Access

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“…The decentralized adaptive control issue is investigated for cyber physical systems subject to intermittent DoS attacks in Reference 37. The adaptive control problem is addressed for systems with nonlinear dynamics in Reference 38 and the hybrid attacks including deception and injection attacks are also considered. Unfortunately, to our best knowledge, there are relatively few researches on ILC subject to DoS attacks under the networked environment.…”

Section: Introductionmentioning

confidence: 99%

Iterative learning guaranteed cost control based on two‐dimensional Roesser systems subject to denial‐of‐service attacks and fading measurements

Huang

et al. 2022

Intl J Robust & Nonlinear

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In this article, the network-based iterative learning guaranteed cost control problem for the linear systems subject to denial-of-service (DoS) attacks at input and output (I/O) sides is studied via faded channels. First, the DoS attacks are modeled by independent Bernoulli sequences, where the expectation and variance are known. The fading measurements in I/O channels are described as independent Gaussian distributions with known expectations and variances respectively. Then, the repetitive system and the proposed ILC scheme involving both the iteration and time axes are transformed into a random two-dimensional (2D) Roesser model by using the 2D system theory. The mean-square asymptotic stability is introduced and followed by the definition of guaranteed cost function. Next, sufficient conditions that can not only ensure the asymptotic stability but also the cost index are derived. By applying the linear matrix inequality technology, the gain matrices and the upper bound of the control cost are further obtained. After exploring the adverse effect brought by the random fading phenomenon, a compensation algorithm is then designed and the analysis is strictly deduced. Finally, an injection molding process example is given to confirm the validity of the design.

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“…When there exist deception attacks in networks, the transmitted data packet cannot reach processor for calculation accurately. Then, these malicious data may further damage system performance and even paralyze the system operation [32], [33]. Compared with deception attacks, the latter mainly injects a large number of useless data packets to interrupt normal communication.…”

Section: Introductionmentioning

confidence: 99%

Sampled-Data Resilient Control for Hybrid Nonlinear Stochastic Systems Under Periodic DoS Attacks

et al. 2021

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This paper concerns the sampled-data resilient control for hybrid nonlinear stochastic systems under periodic denial of service (P-DoS) attacks. First of all, considering that the system is attacked by P-DoS and using the zero-order holder (ZOH) technique to further analyze the impact of such attacks on the control input. Secondly, via using the time-delay transform method, the attacked sampled-data resilient control system is modeled as a switched stochastic nonlinear time-delay closed-loop system. Thirdly, by using the piecewise Lyapunov functional method, the sufficient conditions to guarantee the mean square exponential stability of the attacked system are given. Then, according to these sufficient conditions, the controller parameters are solved when specific Lyapunov functional and controller design are given. Finally, an example is given to illustrate the efficiency of our results.INDEX TERMS Hybrid nonlinear stochastic systems, periodic denial of service (P-DoS) attacks, resilient control, sampled-data.

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Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks

Cited by 78 publications

References 46 publications

Security SMC for Networked Fuzzy Singular Systems With Semi-Markov Switching Parameters

Security SMC for Networked Fuzzy Singular Systems With Semi-Markov Switching Parameters

Iterative learning guaranteed cost control based on two‐dimensional Roesser systems subject to denial‐of‐service attacks and fading measurements

Sampled-Data Resilient Control for Hybrid Nonlinear Stochastic Systems Under Periodic DoS Attacks

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