Decentralized state estimation and diagnosis of p-time labeled Petri nets systems

Bonhomme, Patrice

doi:10.1007/s10626-020-00326-w

Cited by 8 publications

(9 citation statements)

References 20 publications

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“…Applications can be found in many fields as production systems, food industry and transportation systems [7] [1] [10]. Up to now, the consideration of the time factor as intervals in P-time PNs containing conflicts and synchronizations, remains an open problem in estimation as, at the best of our knowledge, only few papers have considered this type of general model: [2] [3] provide an estimation of marking sets consistent with an observed label sequence.…”

Section: A Aim and Motivationmentioning

confidence: 99%

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Two-staged approach for estimation of sequences in partially observable P-time Petri nets on a sliding horizon with schedulability analysis

Declerck

Bonhomme

2023

International Journal of Control

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In this paper, we consider the on-line estimation of current subsequences for Partially Observable P-time Petri Nets and their starting markings on a sliding horizon composed of steps defined by two successive occurrences of observable transition firings. We propose a general strategy composed of two phases: Phase 1 exploits a simplification of the P-time Petri net under the form of a Timed Petri net; considering a candidate count vector and the relevant starting marking proposed at Phase 1, Phase 2 makes a schedulability analysis by building a system of relations which can be represented by an acyclic conflict-free computation graph. The complete approach avoids the generation of sets which is generally time and space consuming, and provides an optimal solution for each subproblem by using efficient standard tools.

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Section: A Aim and Motivationmentioning

confidence: 99%

“…In other words, we make a consistency analysis also named a schedulability analysis. Generalizing [3], this analysis is possible if a variant of the dater technique is used.…”

Section: Strategy and Contextmentioning

confidence: 99%

Two-staged approach for estimation of sequences in partially observable P-time Petri nets on a sliding horizon with schedulability analysis

Declerck

Bonhomme

2023

International Journal of Control

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“…P-time Petri nets are considered in [4] and recently in [3] of decentralized state estimation in real time and diagnosis. The main difference with this work is that we consider P-time-interval Petri nets.…”

Section: Related Workmentioning

confidence: 99%

Estimation And Fault Detection of Discrete Event Systems Modeled By Time Interval Petri Nets

Khedher

Benothman

2022

Preprint

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This work is interested in studying discrete event systems modeled by time interval Petri nets. Indeed, a new state model describing the time evolution of the system is proposed. The simulation of the proposed state model gives the upper and lower bounds of each element of the system state and the system outputs. After that, a new state estimator is proposed allowing estimating the whole system state and inputs. This estimator give, also, an upper and lower bounds for each elements of the state vector and the input. The state model and the estimator are both proposed along, successively, count and dater approaches. For count approach, the system state is the number of transition firing and for dater approach, it is the dates of transitions firing. The proposed state model and estimator are applied to a baking process described by a time interval Petri nets. This application show the robustness of the state and input estimation. The proposed state model and estimator are used also for fault detection, localization and estimation and it is shown that they give acceptable results.

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“…It was discovered that 78 percent of deaths occurred in only five regions of northern Italy and central Spain, where NO2 levels were highest and air pressure was low, preventing contaminants from dispersing. Long-term exposure to NO2 has been shown to lead to mortality caused by COVID-19 infection in these areas, according to the author COVID-19 incidence, and mortality rates were significantly associated with higher diesel particulate matter (DPM) levels [9,28]. Air pollution is one of the factors that has gotten a lot of attention in recent months as a factor that could help the disease(COVID-19) spread, become more severe, and have a worse prognosis.…”

Section: Covid19 Epidemics and Environmental Stressesmentioning

confidence: 99%

“…A recent study found a connection between COVID-19 mortality and the presence of high levels of pollutants in northern in Italy. Long-term air-quality data in 71 Italian provinces showed a significant correlation with COVID-19 cases, indicating that chronic exposure to air pollution can influence viral spread [9]. This study aims to address the possible effects of air pollution on COVID-19 in the sense of what is known about air pollution's health effects in general, as well as state-of-theart methods for researching such effects.…”

Section: Covid19 Epidemics and Environmental Stressesmentioning

confidence: 99%

Forecasting the impact of environmental stresses on the frequent waves of COVID19

Abdel‐Salam

Sohail

et al. 2021

Nonlinear Dyn

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A novel approach to link the environmental stresses with the COVID-19 cases is adopted during this research. The time-dependent data are extracted from the online repositories that are freely available for knowledge and research. Since the time series data analysis is desired for the COVID-19 time-dependent frequent waves, here in this manuscript, we have developed a time series model with the aid of "nonlinear autoregressive network with exogenous inputs (NARX)" approach. The distribution of infectious agent-containing droplets from an infected person to an uninfected person is a common form of respiratory disease transmission. SARS-CoV-2 has mainly spread via short-range respiratory droplet transmission. Airborne transmission of SARS-CoV-2 seems to have occurred over long distances or times in unusual conditions; SARS-CoV-2 RNA was found in PM10 collected in Italy. This research shows that SARS-CoV-2 particles adsorbed to outdoor PM remained viable for a long time, given the epidemiology of outdoor

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Decentralized state estimation and diagnosis of p-time labeled Petri nets systems

Cited by 8 publications

References 20 publications

Two-staged approach for estimation of sequences in partially observable P-time Petri nets on a sliding horizon with schedulability analysis

Two-staged approach for estimation of sequences in partially observable P-time Petri nets on a sliding horizon with schedulability analysis

Estimation And Fault Detection of Discrete Event Systems Modeled By Time Interval Petri Nets

Forecasting the impact of environmental stresses on the frequent waves of COVID19

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