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Designing Cyclic Schedules for Streaming Repetitive Job-Shop Manufacturing systems with Blocking and No-Wait Constraints

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IFAC-PapersOnLine 2019年第10期52卷 73-78页

作者： R. Wójcik J. Pempera Department of Computer Engineering Faculty of Electronics Wrocław University of Science and Technology Wrocław Poland Department of Control Systems and Mechatronics Faculty of Electronics Wrocław University of Science and Technology Wrocław Poland

We consider a problem of designing no-wait cyclic schedules for job-shop manufacturing system with repetitive transportation tasks that are defined by sequences of operations. Each operation is performed in a sector of manufacturing system using its resources, e.g. vehicles, machines, and takes some time for manufacturing and transportation. The sectors and their resources can be shared by several tasks in the exclusive mode. There are no buffers between sectors thus when a transportation car is in a sector it blocks this sector to other cars and cannot leave it until a sector which is required by the following operation in its transportation route is free. The repetitive transportation tasks performed in a manufacturing system are modelled as a system of cyclic processes executing sequences of operations and sharing common resources according to a mutual exclusion protocol. The problem consists in finding no-wait cyclic schedules for which no process (tasks) that started execution will wait for resources (sectors) required to execute its operations and each operation will be started immediately after finishing the previous one. The casade-like structure (C-LS) system of processes is considered. This system is structurally deadlock-free therefore no-buffer (resource blocking) constraint will never lead to deadlock state. The C-LS system of processes can be seen as a composition of subsystems with two cyclic processes sharing a single resource, namely 2-P subsystems. Using our recurrent integer modulus equations model (developed in our previous works) we find for each 2-P subsystem all possible start times of the processes (if exist) that belong to a no-wait schedule and construct all possible no-wait schedules for each component 2-P. Finally, we design cyclic no-wait schedules for the C-LS system by joining the cyclic schedules designed for its component 2-P subsystems.

关键词： Repetitive tasks cyclic processes job-shop systems blocking no-wait constraints cyclic scheduling two processes sharing resource cascade-like structured systems cyclic schedules integration

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On a Network SIS Model with Opinion Dynamics

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IFAC-PapersOnLine 2020年第2期53卷 2582-2587页

作者： Weihao Xuan Ruijie Ren Philip E. Paré Mengbin Ye Sebastian Ruf Ji Liu School of Mechanical Engineering at University of Leeds UK Division of Decision and Control Systems at KTH Royal Institute of Technology Stockholm Sweden Faculty of Science and Engineering ENTEG University of Groningen Netherlands Center for Complex Networks Research and the Department of Psychology at Northeastern University USA Department of Electrical and Computer Engineering at Stony Brook University USA

This paper proposes a network continuous-time susceptible-infected-susceptible (SIS) model coupled with individual opinion dynamics, where the opinion dynamics models an individual’s perceived severity of illness or perceived susceptibility. The effects of opinion dynamics on the network SIS model are studied by analyzing the limiting behaviors of the system model, equilibria of the system and their stability.

关键词： SIS model opinion dynamics health belief model

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Author Correction: H∞ observer-based control for fuzzy Hadamard fractional-order systems

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Computational and Applied Mathematics 2025年第5期44卷 1-1页

作者： Rhaima, Mohamed Gassara, Hamdi Mchiri, Lassaad Hajjaji, Ahmed El Makhlouf, Abdellatif Ben Department of Statistics and Operations Research College of Science King Saud University Riyadh Saudi Arabia Laboratory of Sciences Techniques of Automatic Control and Computer Engineering National School of Engineering of Sfax University of Sfax Sfax Tunisia Panthéon-Assas University Paris II Paris France Modeling Information and Systems Laboratory University of Picardie Jules Verne UFR of Sciences Amiens France Department of Mathematics Faculty of Sciences Sfax University Sfax Tunisia

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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models

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Results in Engineering 2025年

作者： Miroslav Mahda K. Rajathi Muniyandy Elangovan Sellamuthu Prabhu kumar Amit Verma Department of Control Systems and Instrumentation Faculty of Mechanical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic Department of Computer Science Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu-600 062 India Department of Biosciences Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai 602 105 India Applied Science Research Centre Applied Science Private University Amman Jordan Department of Mechanical Engineering Presidency University Bengaluru 560064 India University Centre for Research and Development Chandigarh University Gharuan Mohali Punjab India

The growing demand for efficient drying methods in agricultural processes has motivated researchers to explore hybrid systems using photovoltaic and thermal systems. One challenge faced in this research was the limited amount of drying days and dealing with one crop (red chilies), which could limit the potential application for other crops. The kinetics of drying red chilies with a photovoltaic thermal (PVT) system were in combination with a dryer, and the objective was to enhance the drying process of red chilies under various environmental conditions of surface glazing temperature, solar radiation, the temperature of the outflow fluid, and ambient temperature. Three drying techniques open sun drying, forced convection drying, and natural convection drying with varying flow velocities served as the foundation for the research. Using this controlled case-study method, 3 kg of red chilies were dried under standard sun radiation from an ambient temperature of 31°C to a high of 58°C. The moisture content reduction process was measured by starting with 79 % moisture content by weight after drying the red chilies for a total of six days conducting the experiments between 9am and 4pm during Mars, April, and May 2023, each time on clear days with direct sunlight. The drying process was stop at 11 % moisture content after 6-day testing round of red chilies drying. Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness *** RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. The research finds that the RBF model had the highest capacity to forecast drying efficiency and that forced convection drying is more effective than open solar drying.

关键词： red chilies,electrical and thermal efficiency Photovoltaic Thermal solar dryer solar radiation temperature Solar energy

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Robustness of the uncertain single machine total weighted tardiness problem with elimination criteria applied 13th

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13th International Conference on Dependability and Complex systems, DepCoS-RELCOMEX 2018

作者： Bożejko, Wojciech Rajba, Pawel Wodecki, Mieczyslaw Department of Automatics Mechatronics and Control Systems Faculty of Electronics Wroclaw University of Technology Janiszewskiego 11-17 Wroclaw50-372 Poland Institute of Computer Science University of Wroclaw Joliot-Curie 15 Wroclaw50-383 Poland Telecommunications and Teleinformatics Department Faculty of Electronics Wroclaw University of Science and Technology Wybrzeże Wyspiańskiego 27 Wroclaw50-370 Poland

ISBN: (纸本)9783319914459

In the paper we investigate an uncertain single machine total weighted tardiness problem where uncertainty of times of jobs execution and jobs deadlines are modeled by random variables with a normal distribution. We check the influence of applying elimination criteria to the robustness of the determined solutions. Results are very promising and encourage further research. © Springer International Publishing AG, part of Springer Nature 2019.

关键词： Tabu search

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Kinetic realization of delayed polynomial dynamical models

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IFAC-PapersOnLine 2019年第7期52卷 45-50页

作者： Mihály Vághy Gergely Szlobodnyik Gábor Szederkényi Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Systems and Control Laboratory Institute for Computer Science and Control (MTA SZTAKI) Hungarian Academy of Sciences Budapest Hungary

In this paper, we study the kinetic realization problem of nonnegative delayed polynomial systems. Given a set of delayed polynomial differential equations, the task is to assign a chemical reaction network structure that realizes its dynamics. We show that similarly to the non-delayed case, this problem is generally non-uniquely solvable. We extend existing results for the realization of non-delayed models by proposing an algorithm to build delayed realizations and proving that the so-called dense realization defines a superstructure in the delayed case, too. The notions and results are shown on a simple illustrative example.

关键词： nonlinear models nonnegative systems time-delay kinetic systems directed graphs

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State of the Art of Audio- and Video-Based Solutions for AAL

arXiv

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arXiv 2022年

作者： Aleksic, Slavisa Atanasov, Michael Agius, Jean Calleja Camilleri, Kenneth Čartolovni, Anto Climent-Pérez, Pau Colantonio, Sara Cristina, Stefania Despotovic, Vladimir Ekenel, Hazım Kemal Erakin, Ekrem Florez-Revuelta, Francisco Germanese, Danila Grech, Nicole Sigurðardóttir, Steinunn Gróa Emirzeoğlu, Murat Iliev, Ivo Jovanovic, Mladjan Kampel, Martin Kearns, William Klimczuk, Andrzej Lambrinos, Lambros Lumetzberger, Jennifer Mucha, Wiktor Noiret, Sophie Pajalic, Zada Pérez, Rodrigo Rodriguez Petrova, Galidiya Petrovica, Sintija Pocta, Peter Poli, Angelica Pudane, Mara Spinsante, Susanna Salah, Albert Ali Santofimia, Maria Jose Islind, Anna Sigríður Stoicu-Tivadar, Lacramioara Tellioğlu, Hilda Zgank, Andrej Leipzig University of Applied Sciences Germany TU Wien Austria Department of Anatomy University of Malta Malta Centre for Biomedical Cybernetics Faculty of Engineering Department of Systems and Control Engineering Malta Catholic University of Croatia Croatia Universidad de Alicante Spain Institute of Information Science and Technologies The National Research Council of Italy Italy Department of Systems and Control Engineering University of Malta Malta University of Luxembourg Luxembourg Dept. of Computer Engineering Istanbul Technical University Turkey Reykjavik University School of Computer Science Iceland Sağlık Bilimleri Fakültesi Fizyoterapi ve Rehabilitasyon Karadeniz Technical University Research Information System Turkey TU Sofia Bulgaria Singidunum University Belgrade Serbia University of South Florida United States SGH Warsaw School of Economics Poland Department of Communication and Internet Studies Cyprus University of Technologies Cyprus Technical University of Vienna Austria VID Specialized University Oslo Norway Getafe University Hospital Spain Riga Technical University Latvia University of Zilina Slovakia Università Politecnica Marche Italy Utrecht University Netherlands Universidad de Castilla-La Mancha Spain Reykjavik University Iceland University Politehnica Timisoara Romania University of Maribor Slovenia

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may

关键词： computer vision

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Gait Phase Detection for Biped Robots

Gait Phase Detection for Biped Robots

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International Russian Automation Conference (RusAutoCon)

作者： Islam Bzhikhatlov Kseniia Cheloshkina Mikhail Abramchuk Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia Faculty of Computer Science National Research University Higher School of Economics Moscow Russia

Gait phase detection is an important task for walking cycle planning because the stability of walking could be estimated by gait phase sequence. The machine learning models were developed for detection of support type and walking gait phase for given posture to be used for stability estimation of walking robots through phases sequence. It was revealed that it is possible to build high quality model based on human motion capture data using only normalized data from a body lower part without toes with the degrees of freedom same as biped robot degrees of freedom. Among different machine learning methods applied to support type prediction by all available motion capture data gradient boosting model showed the highest quality in 7-fold cross-validation having 0.97 accuracy, mean per class precision and recall. Additionally, it was demonstrated that removal of an upper half of body data as well as toes data did not lead to any significant model quality decrease as a final reduced model gives 0.964 accuracy, mean per class precision and recall. Finally, the model for prediction of 5 walking gait phases was developed and showed comparable quality namely 0.95 accuracy, mean per class precision and recall.

关键词： Legged locomotion Machine learning Data models Predictive models Correlation Stability analysis

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Network-level optimal control for public bus operation

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IFAC-PapersOnLine 2020年第2期53卷 15003-15010页

作者： Balázs Varga Tamás Péni Balázs Kulcsár Tamás Tettamanti Budapest University of Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Department of Control for Transportation and Vehicle Systems Hungary H-1111 Budapest Műegyetem rkp. 3 Institute for Computer Science and Control (SZTAKI) Hungary H-1111 Budapest. Kende u. 13-17 Department of Electrical Engineering Chalmers University of Technology Hörsalsvägen 9-11 SE-412-96 Gothenburg Sweden

The paper presents modeling, control and analysis of an urban public transport network. First, a centralized system description is given, built up from the dynamics of individual buses and bus stops. Aiming to minimize three conflicting goals (equidistant headways, timetable adherence, and minimizing passenger waiting times), a reference tracking model predictive controller is formulated based on the piecewise-affine system model. The closed-loop system is analyzed with three methods. Numerical simulations on a simple experimental network showed that the temporal evolution of headways and passenger numbers could maintain their periodicity with the help of velocity control. With the help of randomized simulation scenarios, sensitivity of the system is analyzed. Finally, infeasible regions for the bus network control was sought using by formulating an explicit model predictive controller.

关键词： Urban systems Public transport Centralised control Model predictive control Piecewise-affine systems Scenario based methods Set theory

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Effect and importance of artificial extreme event in Indian Covid-19 vaccination data sets

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AIP Conference Proceedings 2023年第1期2768卷

作者： Vaibhav Varshney Arpit Singh Suresh Kumarasamy Ajay Mishra Sabarathinam Srinivasan Department of Physics University of Engineering and Management Jaipur Rajasthan 303807 India Department of Physics and Astrophysics University of Delhi Delhi 110007 India Department of Physics Chennai Institute of Technology Chennai 600069 India Department of Physics Dyal Singh college University of Delhi Delhi 110003 India Laboratory of Complex Systems modelling and control Faculty of Computer Science HSE National Research University Moscow Russia

In this present manuscript, we investigate the Indian COVID-19 vaccination data sets from the beginning of the vaccination. We observed the artificial extreme events (AEE) in a vaccination process during the Teeka Utsav massive vaccination plan. We found some importance and effects of this event and subsequently we analyse the data set with the moving average. This study explores the reason behind the effects with respect to the second and third waves of COVID-19 in India. The importance of the extremely vaccinated days is discussed in this present manuscript.

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