Littérature scientifique sur le sujet « Predictive-Reactive strategy »
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Articles de revues sur le sujet "Predictive-Reactive strategy"
Tighazoui, Ayoub, Christophe Sauvey et Nathalie Sauer. « Predictive-reactive strategy for identical parallel machine rescheduling ». Computers & ; Operations Research 134 (octobre 2021) : 105372. http://dx.doi.org/10.1016/j.cor.2021.105372.
Texte intégralKalinowski, Krzysztof, Damian Krenczyk et Cezary Grabowik. « Predictive - Reactive Strategy for Real Time Scheduling of Manufacturing Systems ». Applied Mechanics and Materials 307 (février 2013) : 470–73. http://dx.doi.org/10.4028/www.scientific.net/amm.307.470.
Texte intégralDi, Zhengfei, Demin Xu et Kehan Zhang. « Continuous Control Set Model Predictive Control for an Indirect Matrix Converter ». Energies 14, no 14 (8 juillet 2021) : 4114. http://dx.doi.org/10.3390/en14144114.
Texte intégralZhang, Ming Guang, et Xiao Jing Chen. « Control Strategy of Low Voltage Ride-Through for Grid-Connected Photovoltaic Power System Based on Predictive Current ». Applied Mechanics and Materials 556-562 (mai 2014) : 1753–56. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1753.
Texte intégralNawaz, Muhammad, Muhammad Asghar Saqib, Syed Abdul Rahman Kashif et Mehr Gul. « Constrained model predictive control for an induction heating load ». Transactions of the Institute of Measurement and Control 41, no 1 (28 mars 2018) : 210–18. http://dx.doi.org/10.1177/0142331218758887.
Texte intégralMELLAH, Hacene, Amar MAAFA, Hamza SAHRAOUI, Abdelghani YAHIOU et Houria SMAIL. « Generalized Predictive Control of the Active and Reactive Stator Powers of the DFIG for Wind Energy Generation ». Eurasia Proceedings of Science Technology Engineering and Mathematics 26 (30 décembre 2023) : 295–305. http://dx.doi.org/10.55549/epstem.1409597.
Texte intégralZhu, Jian-hong, Pengkun Zhang, Xinsong Zhang, Lin Qin, Chengxiang Sun et Han Li. « Model Predictive Control on Transient Flux Linkage and Reactive Power Compensation of Doubly Fed Induction Wind Generator ». International Journal of Energy Research 2024 (5 mars 2024) : 1–15. http://dx.doi.org/10.1155/2024/6648691.
Texte intégralTighazoui, Ayoub, Christophe Sauvey et Nathalie Sauer. « Predictive-reactive Strategy for Flowshop Rescheduling Problem : Minimizing the Total Weighted Waiting Times and Instability ». Journal of Systems Science and Systems Engineering 30, no 3 (19 avril 2021) : 253–75. http://dx.doi.org/10.1007/s11518-021-5490-8.
Texte intégralRahima, Bachar, Golea Amar, Benchouia Mohamed Toufik et Chebaani Mohamed. « High-performance active power filter implementation based on predictive current control ». International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no 1 (1 mars 2019) : 277. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp277-287.
Texte intégralHe, Tingting, Dylan Dah-Chuan Lu, Mingli Wu, Qinyao Yang, Teng Li et Qiujiang Liu. « Four-Quadrant Operations of Bidirectional Chargers for Electric Vehicles in Smart Car Parks : G2V, V2G, and V4G ». Energies 14, no 1 (31 décembre 2020) : 181. http://dx.doi.org/10.3390/en14010181.
Texte intégralThèses sur le sujet "Predictive-Reactive strategy"
Tighazoui, Ayoub. « Ré-ordonnancement des systèmes de production flexibles avec contraintes de blocage mixtes soumis à des aléas de commandes ou de production ». Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0187.
Texte intégralToday’s digital transformation has definitely changed the customers practices. In fact, through the new information and communication tools, a customer can at any time create, modify, or cancel an order. These unexpected events have a direct impact on the work organization of the production unit, generating a disruption of the already established schedule. Therefore, a rescheduling process is necessary for efficiently revising the existing schedule, preferably with less movements. In this Ph.D, mathematical models and optimization methods are developed for rescheduling problems, under different types of disruptions, in several machine environments. The performance of the obtained solutions is measured with a new criterion, simultaneously combining the schedule efficiency and stability.The predictive-reactive scheduling strategy has been adopted in this work. It consists, in the predictive phase, to solve a classical scheduling problem minimizing the Total Weighted Waiting Time (TWWT) of the jobs, regarded as the schedule efficiency criterion. After the disruption appearance, the reactive phase starts. It consists in updating the initial problem by modifying its data, then solving the new rescheduling problem with the objective of minimizing the TWWT combined with a stability criterion. The schedule stability is measured with the Total Weighted Completion Time Deviation (TWCTD). This association of criteria is significant, and it can be very helpful in industrial applications, where the job waiting time estimates the duration that the job has waited in front of a workstation. The stability criterion is then used for limiting the deviation from the already established schedule, since this matter generates supplementary costs.This approach has been applied for different machine environments. Firstly, on a single machine, illustrating the case of a single workstation. Secondly, on parallel machines, describing the case of identical workstations. Finally, on a flowshop system where a set of jobs are treated in the same order by a set of machines. The flowshop rescheduling problem is also considered with mixed blocking constraints.These rescheduling problems have firstly been modeled as Mixed Integer Linear Programing (MILP) models. Due to their NP-hard complexity, the resolution is only possible for a limited number of jobs. Thus, heuristic methods have been designed, exploring more jobs in a reasonable time. The proposed methods have been discussed and analyzed, both in terms of solution quality and computing time
Chapitres de livres sur le sujet "Predictive-Reactive strategy"
Gao, CaiXia, FuZhong Wang et ZiYi Fu. « Reactive Power Predictive Compensation Strategy for Heavy DC Hoist ». Dans Proceedings of 2016 Chinese Intelligent Systems Conference, 313–21. Singapore : Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2335-4_30.
Texte intégralKarthigaiselvan, K., et Rames Chandra Panda. « Implementation of MPC Strategy in Reactive Separation Techniques and Its Benefits : A Demonstration with Natural Gas Sweetening Process ». Dans Model Predictive Control - Theory and Applications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1001101.
Texte intégralActes de conférences sur le sujet "Predictive-Reactive strategy"
Chen, Tianhua, Jianhua Chen, Zhaoyang Yan, Yifeng Li, Yun Chai et Lei Du. « Voltage Control Strategy Considering Dynamic Reactive Reserve Margin Under Predictive Fault ». Dans 2021 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2021. http://dx.doi.org/10.1109/ispec53008.2021.9735982.
Texte intégralGogov, Bogdancho. « PREDICTIVE POLICING ». Dans SECURITY HORIZONS. Faculty of Security- Skopje, 2023. http://dx.doi.org/10.20544/icp.8.1.23.p20.
Texte intégralRojas, Diego, Marco Rivera, Sergio Toledo et Patrick Wheeler. « Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter ». Dans 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). IEEE, 2021. http://dx.doi.org/10.1109/icaacca51523.2021.9465205.
Texte intégralTonellato, Giulio, Michaël Kummert, José Candanedo, Gabrielle Beaudry et Philippe Pasquier. « An exploration of a heuristic predictive control strategy for ground source heat pumps coupled to standing column wells ». Dans International Ground Source Heat Pump Association. International Ground Source Heat Pump Association, 2024. http://dx.doi.org/10.22488/okstate.24.000033.
Texte intégralCASTRO, ALLAN GREGORI DE, PAULO ROBERTO UBALDO GUAZZELLI, STEFAN THIAGO CURY ALVES DOS SANTOS, WILLIAM CéSAR DE ANDRADE PEREIRA, CARLOS MATHEUS RODRIGUES DE OLIVEIRA, GEYVERSON TEIXEIRA DE PAULA et JOSé ROBERTO BOFFINO DE ALMEIDA MONTEIRO. « Finite Control-Set Model Predictive Torque Control of Nonsinusoidal PMSM : a Generalized Approach for Torque Ripple Mitigation and MTPA Operation ». Dans Seminar on Power Electronics and Control (SEPOC 2021). sepoc, 2021. http://dx.doi.org/10.53316/sepoc2021.024.
Texte intégralRomdhanne, Bilel Ben, Mourad Boudia et Nicolas Bondoux. « Amadeus Migration Process a Simulation-Driven Process to Enhance the Migration to a Multi-Cloud Environment ». Dans 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131308.
Texte intégralCateriano Yáñez, Carlos, Jörg Richter, Georg Pangalos, Gerwald Lichtenberg et Javier Sanchís Saez. « Active Power Filter Shape Class Model Predictive Controller tuning by Multiobjective Optimization ». Dans CARPE Conference 2019 : Horizon Europe and beyond. Valencia : Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/carpe2019.2019.10166.
Texte intégralFard, Hamed Javaheri, Hamid Reza Najafi et Ghodratollah Heidari. « Design of discrete predictive direct power control strategy on the doubly-fed induction generator based on Micro-Hydro Power Plant with the aim of active and reactive powers control ». Dans 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC). IEEE, 2016. http://dx.doi.org/10.1109/epdc.2016.7514794.
Texte intégralSivanuja, T., et YG Sandanayake. « Industry 4.0 enabled predictive maintenance of facilities : A study on applicability, benefits and challenges ». Dans 10th World Construction Symposium. Building Economics and Management Research Unit (BEMRU), University of Moratuwa, 2022. http://dx.doi.org/10.31705/wcs.2022.47.
Texte intégralZhong, Qian, et Ronald W. Yeung. « Performance of a Wave-Energy-Converter Array Operating Under Model-Predictive Control Based on a Convex Formulation ». Dans ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78739.
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