Searched for: subject%253A%2522triggering%2522
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Men, Jinkun (author), Chen, Guohua (author), Reniers, G.L.L.M.E. (author)
Earthquake-triggered fire domino scenarios (E-FDSs) arise frequently from the interaction between earthquakes and chemical installations, resulting in catastrophic multi-hazard coupling events. The complicated mutually amplified phenomena between natural disasters and chemical accidents significantly aggravates the escalation of domino...
journal article 2024
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Men, Jinkun (author), Chen, Guohua (author), Reniers, G.L.L.M.E. (author), Wu, Yue (author), Huang, Hailing (author)
An earthquake-triggered fire domino scenario (E-FDS) is an example of a typical multi-hazard coupling event. The seismic damage can affect the fire resistance of engineering structures, leading to significant mutually amplified phenomena. In this work, a two-stage experimental program is designed to expound the earthquake-fire coupling...
journal article 2024
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Blom, Fabio (author)
The pressure trigger (PT) algorithm of the SLE 6000 ventilator is a non-invasive respiratory rate (RR) monitoring technique that can detect spontaneous breathing during non-invasive respiratory support. The PT algorithm can detect spontaneous breaths based on air pressure changes in the ventilatory circuit, labelling the pressure fluctuation as...
master thesis 2023
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Looman, Menno (author)
Traditionally, Event-Triggered Control (ETC) methods are sample-and-hold control schemes that implement a triggering condition in order to reduce the number of control updates. Given a decay rate of the Lyapunov function, they focus on minimizing the (average) Inter-Sample Time (IST). In this thesis, we focused on the scheduling of Periodic...
master thesis 2023
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Chen, Congwen (author)
Current backdoor attacks against federated learning (FL) strongly rely on universal triggers or semantic patterns, which can be easily detected and filtered by certain defense mechanisms such as norm clipping, comparing parameter divergences among local updates. In this work, we propose a new stealthy and robust backdoor attack with flexible...
master thesis 2023
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Zwetsloot, Eva (author)
In multi-agent systems reaching consensus has been a long-standing problem. A considerable amount of research has been focused on how event-triggered consensus can be used to limit the energy consumption of the communication system while still ensuring convergence to the neighbourhood of a point or a formation. These algorithms rely on having...
master thesis 2023
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Breysens, G. (author)
This thesis investigates the potential of state-dependent sampling strategies (SDSS) for the control of heavy-haul trains. Event-triggered control (ETC) is a control approach in which data is only sent when some state-dependent condition, the triggering condition, is satisfied. In this way, the number of communications required to stabilise a...
master thesis 2023
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Jarne Ornia, D. (author)
Besides facing the same challenges as single-agent systems, the distributed nature of complex multi-agent systems sparks many questions and problems revolving around the constraints imposed by communication. The idea that multi-agent systems require communication to access information, to coordinate or simply to sense the environment they are...
doctoral thesis 2023
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Smit, Henk (author)
Event-Triggered Control (ETC) is a control method where the controller is only updated when necessary. The control inputs are kept fixed until a state-dependent event triggers their re-computation. The triggering condition is designed to guarantee the stability and desired performance of the control system. This prevents the excessive use of...
master thesis 2023
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de Albuquerque Gleizer, G. (author), Mazo, M. (author)
Event-triggered control (ETC) is a major recent development in cyber–physical systems due to its capability of reducing resource utilization in networked devices. However, while most of the ETC literature reports simulations indicating massive reductions in the sampling required for control, no method so far has been capable of quantifying...
journal article 2023
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Kaitna, Roland (author), Prenner, David (author), Switanek, Matt (author), Maraun, Douglas (author), Stoffel, Markus (author), Hrachowitz, M. (author)
Debris-flow activity is strongly controlled by hydro-meteorological trigger conditions, which are expected to change in a future climate. In this study we connect a regional hydro-meteorological susceptibility model for debris flows with climate projections until 2100 to assess changes of the frequency of critical trigger conditions for...
journal article 2023
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Martinez-Piazuelo, Juan (author), Ananduta, W. (author), Ocampo-Martinez, Carlos (author), Grammatico, S. (author), Quijano, Nicanor (author)
We consider a large population of decision makers that choose their evolutionary strategies based on simple pairwise imitation rules. We describe such a dynamic process by the replicator dynamics. Differently from the available literature, where the payoffs signals are assumed to be updated continuously, we consider a more realistic scenario...
journal article 2023
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Xu, J. (author), Abad, Gorka (author), Picek, S. (author)
Backdoor attacks have been demonstrated as a security threat for machine learning models. Traditional backdoor attacks intend to inject backdoor functionality into the model such that the backdoored model will perform abnormally on inputs with predefined backdoor triggers and still retain state-of-the-art performance on the clean inputs. While...
conference paper 2023
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Hirvonen, Alex (author), Leppänen, Topi (author), Hepola, Kari (author), Multanen, Joonas (author), Hoozemans, J.J. (author), Jääskeläinen, Pekka (author)
Modern High Level Synthesis (HLS) tools succeed well in their engineering productivity goal, but still require toolset and target technology specific modifications to the source code to guide the process towards an efficient implementation. Furthermore, their end result is a fixed function accelerator with limited field and runtime...
journal article 2023
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de Albuquerque Gleizer, G. (author), Mazo, M. (author)
Event-triggered control (ETC) is claimed to provide significant reductions in sampling frequency when compared to periodic sampling, but little is formally known about its generated traffic. This work shows that ETC can exhibit very complex, even chaotic traffic, especially when the triggering condition is aggressive in reducing...
journal article 2023
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de Albuquerque Gleizer, G. (author)
Event-triggered control (ETC) and self-triggered control (STC) are sample-and-hold control paradigms in which sensor data is only updated to the controller when necessary, often aperiodically, in contrast to the well-established periodic sampling paradigm. In ETC, a state-dependent event triggers a transmission, while in STC the controller...
doctoral thesis 2022
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Delimpaltadakis, Giannis (author)
A fundamental challenge in networked control systems is reducing the amount of communications of each system in the network, so that bandwidth and energy are used efficiently. To address the challenge, the research community has shifted its focus to Event-Triggered Control (ETC), in which communication between the control system's different...
doctoral thesis 2022
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Riveros Pavez, Alessia (author)
Empirical-statistical rainfall landslide initiation thresholds are popularly used for early warning systems to discriminate between the occurrence and non-occurrence of rainfall-induced landslides. However, the few studies that have derived landslide initiation thresholds for landslide-prone and data-scarce Rwanda rely solely on the limited in...
master thesis 2022
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Zhang, Boyang (author), Sun, Xiuxia (author), Lv, Maolong (author), Liu, Shuguang (author)
Compared with most existing results concerning unmanned aerial vehicles (UAVs) wherein two-degree or only attitude/longitudinal dynamics are considered, this paper proposes an event-based fault-tolerant coordinated control (FTC) for multiple fixed-wing UAVs such that the consensus tracking of velocity and attitude is achieved in the presence...
journal article 2022
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Sun, B. (author), van Kampen, E. (author)
This paper develops an event-triggered optimal control method that can deal with asymmetric input constraints for nonlinear discrete-time systems. The implementation is based on an explainable global dual heuristic programming (XGDHP) technique. Different from traditional GDHP, the required derivatives of cost function in the proposed method...
journal article 2022
Searched for: subject%253A%2522triggering%2522
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