Dynamic Decentralized Periodic Event-Triggered Control for Wireless Cyber–Physical Systems

Fu, Anqi; McCann, Julie A.

doi:10.1109/tcst.2020.3016131

Cited by 31 publications

(20 citation statements)

References 27 publications

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“…In the context of ETSs, there are two common techniques that can be adopted to eliminate the continuous monitoring of the system data at all times : One is called time regularization [67][68][69] , where a positive time threshold (acting as time regularization or waiting time between two contiguous events) is inserted during the verification of the triggering condition such that the next triggering instant is always produced after at Tw least units of time, the other is to introduce an additional positive constant threshold into the right-hand side of the triggering condition [63,66] (e.g., in (8a) and (8e)) at the expense of a sacrifice in accurate stability (asymptotic convergence) in exchange for practical/bounded system stability (convergence to a neighborhood around zero).…”

Section: Tw Tm+1mentioning

confidence: 99%

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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: Tw Tm+1mentioning

confidence: 99%

“…On account of the time regularization, the DETM (13) subject to (14) generates the next event always after at least time units even in the presence of disturbance, which thus guarantees Zeno-freeness and preserves robustness of the event trigger. Similar DETMs of (13) subject to (14) are studied in [67,69,70] for different problem formulations.…”

Section: Z(t)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

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“…Assume that only one of the states can gain access to the network in each sampling instant. In this context, two scheduling vectors are generated, i.e., δ 1 (k) = 1 0 and 11). We set…”

Section: Illustrative Examplesmentioning

confidence: 99%

“…Another bandwidth-saving approach, called an event-triggering mechanism (ETM), was proposed recently, and has become a hot topic. In an ETM, the information will be transmitted over the network when meeting some event-triggered conditions [11][12][13]. A dynamic decentralized periodic event-triggered control for wireless cyber-physical systems whose sensors are distributed and bandwidths are limited is studied in [11], and it can save more than 40% of events.…”

Section: Introductionmentioning

confidence: 99%

“…In an ETM, the information will be transmitted over the network when meeting some event-triggered conditions [11][12][13]. A dynamic decentralized periodic event-triggered control for wireless cyber-physical systems whose sensors are distributed and bandwidths are limited is studied in [11], and it can save more than 40% of events. A designed event-triggered control approach is proposed in [12].…”

Section: Introductionmentioning

confidence: 99%

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Generalized Model Reference Scheduling and Control Co-Design with Guaranteed Performance

2021

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In this paper, a generalized model-reference scheduling (GMRS) scheme is proposed for a networked control system (NCS) with guaranteed performance control and medium access constraint (MAC). The GMRS presented reduces conservatism to some extent, and its performance is improved by adjusting the weighted gain. In addition, two cases of uncertainty existing in the system matrix and control matrix are considered. For the first case, a co-design of guaranteed performance control and the GMRS is studied for the NCS with and without zero-order hold mechanism. For the second case, the uncertainty induced from time delay is considered in the guaranteed performance control and the GMRS co-design. Finally, illustrative examples are given to demonstrate the effectiveness of the proposed co-design schemes.

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Event‐triggered output tracking control for switched systems: An adaptive stay interval scheme

Huang

et al. 2022

Optim Control Appl Methods

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This article studies output tracking control for switched systems with an adaptive stay interval based event-triggering scheme. By considering limited communication and computation resources, an event-triggering scheme based on stay interval is adopted. To further improve the adjustment capability of network communication, an adaptive stay interval which can be changed depend on system performance is presented. A class of tracking controllers with error integral terms are applied to make switched systems have more accurate tracking performance. Then, closed-loop switched systems that composed by system state and tracking error are modeled, and a set of sufficient conditions for ensuring systems achieve the desired output tracking performance is given. By using linear matrix inequalities, the controller gains and event-triggering parameters are obtained. In particular, since variable stay interval, triggering instants, and switching instants are mutually inclusive, various cases are fully analyzed to guarantee the integrity of system performance discussion. Finally, simulation examples are shown to demonstrate the feasibility.

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Dynamic Decentralized Periodic Event-Triggered Control for Wireless Cyber–Physical Systems

Cited by 31 publications

References 27 publications

Dynamic Event-triggered Control and Estimation: A Survey

Dynamic Event-triggered Control and Estimation: A Survey

Generalized Model Reference Scheduling and Control Co-Design with Guaranteed Performance

Event‐triggered output tracking control for switched systems: An adaptive stay interval scheme

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