An improved memory-event-triggered control for networked control systems

Tian, Engang; Wang, Kunyu; Zhao, Xuelong; Shen, Shibin; Liu, Jinliang

doi:10.1016/j.jfranklin.2019.06.041

Cited by 69 publications

(22 citation statements)

References 35 publications

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“…An event-triggered filtering scheme based on a similar form of DTP (31a) is proposed in [103] to deal with a probabilistic-constrained filter design problem for a class of time-varying systems with stochastic nonlinearities and state constraints. In [104], an event-triggered predictive control scheme under a similar DTP in (31b) is studied to tackle the leader-follower consensus problem of discretetime multi-agent systems with communication delays. In [102], a unified DETM incorporating both the DTP (30) and DTP (31a) is exploited to deal with the co-design of resource-efficient scheduling and platooning control for a convoy of automated vehicles.…”

Section: σ(Sm)mentioning

confidence: 99%

Dynamic Event-triggered Control and Estimation: A Survey

Han

Zhang

et al. 2021

Int. J. Autom. Comput.

142

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The efficient utilization of computation and communication resources became a critical design issue in a wide range of networked systems due to the finite computation and processing capabilities of system components (e.g., sensor, controller) and shared network bandwidth. Event-triggered mechanisms (ETMs) are regarded as a major paradigm shift in resource-constrained applications compared to the classical time-triggered mechanisms, which allows a trade-off to be achieved between desired control/estimation performance and improved resource efficiency. In recent years, dynamic event-triggered mechanisms (DETMs) are emerging as a promising enabler to fulfill more resource-efficient and flexible design requirements. This paper provides a comprehensive review of the latest developments in dynamic event-triggered control and estimation for networked systems. Firstly, a unified event-triggered control and estimation framework is established, which empowers several fundamental issues associated with the construction and implementation of the desired ETM and controller/estimator to be systematically investigated. Secondly, the motivations of DETMs and their main features and benefits are outlined. Then, two typical classes of DETMs based on auxiliary dynamic variables (ADVs) and dynamic threshold parameters (DTPs) are elaborated. In addition, the main techniques of constructing ADVs and DTPs are classified, and their corresponding analysis and design methods are discussed. Furthermore, three application examples are provided to evaluate different ETMs and verify how and under what conditions DETMs are superior to their static and periodic counterparts. Finally, several challenging issues are envisioned to direct the future research.

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Section: σ(Sm)mentioning

confidence: 99%

Dynamic Event-triggered Control and Estimation: A Survey

Han

Zhang

et al. 2021

Int. J. Autom. Comput.

142

View full text Add to dashboard Cite

show abstract

“…2) A simplified memory ET mechanism is proposed under the backstepping framework for the first time. Different from some existing works in [27][28][29] which have the problem of excessive matrix dimensions, by using the absolute value to replace the matrix operation, a low-complexity threshold condition is designed.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Reduced Parameters Fault-Tolerant Tracking Control for Stochastic Multiagent Systems with Simplifified Memory Event-Triggered Strategy

Cao

Xue

2022

Preprint

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The memory event-triggered finite-time bipartite tracking control scheme is presented for the stochastic nonlinear multiagent systems (MASs). The actuator is affected by Bouc-Wen Hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controller which reduces online estimation parameters is constructed for the stochastic systems. A simplified memory event-triggered mechanism is proposed under the backstepping framework for the first time. Furthermore, the released data is used to set the event-triggered threshold condition, which avoids the problem of trigger instability caused by actuator faults and Bouc-Wen Hysteresis. Disturbance observers are applied to compensate the impact of input hysteresis and system disturbances. According to the Lyapunov theory, it is shown that all signals of the closed-loop systems are semiglobal practical finite-time stable (SGPFS) in probability. Meanwhile, the bipartite control performance is obtained. Finally, a practical and a numerical simulation example are provided to attest the validity of the proposed bipartite tracking control strategy.

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“…Moreover, this work devotes to the perfection of ETMs. Compared to the improved schemes [29][30][31][32], the properties of deception attacks are tightly integrated in the design of event-triggered strategies. To sum up, the main contributions of this paper are summarized as follows: 1) Improved T-S fuzzy models are employed to increase the design flexibility, and a novel queuing model is constructed to depict deception attacks; 2) A new dynamic event-triggered communication scheme is developed to alleviate the burden of network resources, which is adaptive for the intermittent aggressive behaviors of deception attacks; and 3) By using piecewise Lyapunov functional methods, we propose a solution to jointly design fuzzy controllers and event-triggering parameters, which can guarantee the monitored system exponentially stable under deception attacks.…”

Section: Introductionmentioning

confidence: 99%

“…In [28], a new event-triggered data transmission scheme was proposed, in which the related triggering parameter was adaptive according to the variation of state error. [29] proposed a memory event-triggered scheme to reduce the redundant packet transmission, in which some recent released data were stored at the event generator. [30] investigated dynamic event-triggered control strategies, which gave rise to a larger inter-execution time compared to static strategies.…”

Section: Introductionmentioning

confidence: 99%

Resilient Event-based Control for Nonlinear Cyber-Physical Systems under Intermittent Deception Attacks

Yang¹,

Gu²,

Yan³

2021

Preprint

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We address the resilient event-based control of nonlinear cyber-physical systems subject to deception attacks. In particular, an improved Takagi–Sugeno (T-S) fuzzy model is employed to solve the mismatch problem between the fuzzy system and fuzzy controllers. From the attacker's point of view, we construct a novel queuing model to depict the intermittent behaviors of deception attacks. Then, a resilient event-based communication scheme is proposed, which is dynamically switched with different attack modes. The idea is to appropriately reduce the number of triggers according to the severity level of attacks, which can further save network resources. By using piecewise Lyapunov functional methods, we find a solution to the co-design of fuzzy controllers and event-triggering parameters while the concerned system is guaranteed to be exponentially stable. Finally, we apply the proposed approaches to a mass–spring–damping system, where the effectiveness is well verified.

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An improved memory-event-triggered control for networked control systems

Cited by 69 publications

References 35 publications

Dynamic Event-triggered Control and Estimation: A Survey

Dynamic Event-triggered Control and Estimation: A Survey

Adaptive Reduced Parameters Fault-Tolerant Tracking Control for Stochastic Multiagent Systems with Simplifified Memory Event-Triggered Strategy

Resilient Event-based Control for Nonlinear Cyber-Physical Systems under Intermittent Deception Attacks

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