Memory-Event-Triggered Tracking Control for Intelligent Vehicle Transportation Systems: A Leader-Following Approach

Gu, Zhou; Huang, Xueyang; Sun, Xiang; Xie, Xiangpeng; Park, Ju H.

doi:10.1109/tits.2023.3335110

Cited by 9 publications

(2 citation statements)

References 45 publications

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“…where X denotes the Fourier transform. According to (9), it is obvious that τU ≤ 0 holds for all solutions of ( 16), which is equivalent to (21). Note that Q H f ≥ 0; then, we have tr(U Q H f ) ≤ 0.…”

Section: Resultsmentioning

confidence: 98%

“…In [20], a distributed self-triggered algorithm was developed for islanded microgrids, which greatly reduced the computation costs. A memory-based ETM that included historical discrete sampling data was investigated for intelligent vehicle transportation systems in [21]. Event-triggered data-driven control was proposed for unknown interconnected systems in [22].…”

Section: Introductionmentioning

confidence: 99%

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Resilient Event-Based Fuzzy Fault Detection for DC Microgrids in Finite-Frequency Domain against DoS Attacks

Ma,

Lu,

2024

Sensors

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This paper addresses the problem of fault detection in DC microgrids in the presence of denial-of-service (DoS) attacks. To deal with the nonlinear term in DC microgrids, a Takagi-Sugeno (T-S) model is employed. In contrast to the conventional approach of utilizing current sampling data in the traditional event-triggered mechanism (ETM), a novel integrated ETM employs historical information from measured data. This innovative strategy mitigates the generation of additional triggering packets resulting from random perturbations, thus reducing redundant transmission data. Under the assumption of faults occurring within a finite-frequency domain, a resilient event-based H−/H∞ fault detection filter (FDF) is designed to withstand DoS attacks. The exponential stability conditions are derived in the form of linear matrix inequalities to ensure the performance of fault detected systems. Finally, the simulation results are presented, demonstrating that the designed FDF effectively detects finite-frequency faults in time even under DoS attacks. Furthermore, the FDF exhibits superior fault detection sensitivity compared to the conventional H∞ method, thus confirming the efficacy of the proposed approach. Additionally, it is observed that a trade-off exists between fault detection performance and the data releasing rate (DRR).

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Resilient Event-Based Fuzzy Fault Detection for DC Microgrids in Finite-Frequency Domain against DoS Attacks

Ma,

Lu,

2024

Sensors

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Asynchronous event‐triggered control for switched T–S fuzzy systems under dual‐channel hybrid cyber attacks

Tan,

Li,

Zong

2024

Intl J Robust & Nonlinear

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This article presents an asynchronous event‐triggered scheme for switched Takagi–Sugeno (T–S) fuzzy systems against dual‐channel hybrid cyber attacks. Different from existing results, both sensor and controller channels are subjected to aperiodic denial‐of‐service attacks and random false data injection attacks. To efficiently utilize dual‐channel network communication resources while resisting hybrid attacks, two resilient event‐triggered mechanisms (ETMs) are constructed. Considering asynchronous ETMs and hybrid cyber attacks, the time‐delay switched T–S fuzzy system is derived by utilizing model transformation methods. Thereby, the stability conditions are derived by utilizing multiple Lyapunov functions technique, and slack matrices are introduced to further relax the conditions. Finally, two examples are given to demonstrate the effectiveness of the developed event‐based security control strategy.

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Quantized event-triggered-based finite-time $$\text {H}_\infty $$ control for interval type-2 fuzzy Markov jump systems with random coupling delays

Lu,

Wu,

Wang

et al. 2024

Nonlinear Dyn

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Memory-Event-Triggered Tracking Control for Intelligent Vehicle Transportation Systems: A Leader-Following Approach

Cited by 9 publications

References 45 publications

Resilient Event-Based Fuzzy Fault Detection for DC Microgrids in Finite-Frequency Domain against DoS Attacks

Resilient Event-Based Fuzzy Fault Detection for DC Microgrids in Finite-Frequency Domain against DoS Attacks

Asynchronous event‐triggered control for switched T–S fuzzy systems under dual‐channel hybrid cyber attacks

Quantized event-triggered-based finite-time $$\text {H}_\infty $$ control for interval type-2 fuzzy Markov jump systems with random coupling delays

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