Event-Based Control in Industry Practice: Paving the Way Toward Resource-Efficient Industrial Internet of Things

Aranda-Escolástico, Ernesto; Guinaldo, María; Miśkowicz, Marek; Dormido, Sebastián

doi:10.1109/mie.2023.3286984

Cited by 2 publications

(1 citation statement)

References 61 publications

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“…Event-triggered mechanisms usually execute trigger rules via event generators, but they generate extra computations, leading to the consideration of their complexity and physical realizability. E. Aranda-Escolástico et al [29] summarized the merits and drawbacks of event-based control from a technical perspective. In accordance with threshold functions, Zhang, X. M. et al [30] classified typical event-triggered mechanisms into four types: static, dynamic, and stochastic event-triggered control and self-triggered sampling mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Time-Varying Formation Tracking Control for Multi-Agent Systems with a Switching-Directed Topology

Chen,

Chen

2023

Mathematics

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This study investigates the problem of time-varying formation tracking (TVFT) control involving event-triggered and switching topological mechanisms. Specifically, TVFT is evaluated with a consensus analysis and deduced via the use of linear matrix inequality techniques combined with Lyapunov stability theory. This strategy obtains sufficient conditions for system stability and the feedback and coupling gains. In addition, the TVFT compensational signals are presented in two cases to enhance the algorithm’s applicability. Given that ideal multi-agent systems (MASs) should be highly flexible and resilient, we propose a co-design algorithm that strikes a balance between the need for a lower communication frequency and a reduction in the state disagreements of agents. Finally, the effectiveness of the theoretical analysis is demonstrated through 3D figures and comparison tables, from which it can be concluded that the communication frequency of the MAS was clearly reduced on the basis of ensuring consensus performance via applying the algorithm proposed in this paper.

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Section: Introductionmentioning

confidence: 99%

Event-Triggered Time-Varying Formation Tracking Control for Multi-Agent Systems with a Switching-Directed Topology

Chen,

Chen

2023

Mathematics

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Dynamic Event-Triggered Control for Sensor–Controller–Actuator Networked Control Systems

Abdelrahim,

Almakhles

2024

JSAN

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We consider the problem of output feedback stabilization of LTI systems under event-triggering implementation. In particular, we assume that both the plant output and the control input are both transmitted over the network in an asynchronous manner. To that end, two independent event-triggering rules are constructed to generate the transmission instants of the submitted signals. The proposed approach is dynamic in the sense that the triggering rules involve internal dynamical variables to allow for further reduction in the communication load. Moreover, the inter-transmission times for both sides of the channel are lower bound by enforced dwell times to prevent the occurrence of Zeno phenomena. The problem is challenging due to mutual interactions between the sampling errors of the plant output and the control input, which requires careful handling to ensure closed-loop stability. The triggering mechanisms are designed by emulation as we first ignore the effect of the network and stabilize the plant in continuous-time. Then, the communication constraints are taken into account to derive the triggering conditions such that the stability of the networked control system is preserved. The required conditions are formulated in terms of a linear matrix inequality. The effectiveness of the technique is demonstrated by numerical simulations.

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Event-Based Control in Industry Practice: Paving the Way Toward Resource-Efficient Industrial Internet of Things

Cited by 2 publications

References 61 publications

Event-Triggered Time-Varying Formation Tracking Control for Multi-Agent Systems with a Switching-Directed Topology

Event-Triggered Time-Varying Formation Tracking Control for Multi-Agent Systems with a Switching-Directed Topology

Dynamic Event-Triggered Control for Sensor–Controller–Actuator Networked Control Systems

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