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International Conference on Process control (PC)

作者： Simon Hellmann Arne-Jens Hempel Stefan Streif Sören Weinrich Biochemical Conversion Department DBFZ Deutsches Biomasseforschungszentrum gGmbH Leipzig Germany Saxon University of Cooperative Education Glauchau Germany Chair of Automatic Control and System Dynamics Chemnitz University of Technology Chemnitz Germany Faculty of Energy. Building Services. Environmental Engineering Munster University of Applied Sciences Münster Germany

Dynamic operation of anaerobic digestion plants requires advanced process monitoring and control. Different simplifications of the Anaerobic Digestion Model No. 1 (ADM1) have been proposed recently, which appear promising for model-based process automation and state estimation. As a fundamental requirement, observability and identifiability of these models are analyzed in this work, which was pursued through algebraic and geometric analysis. Manual algebraic assessment was successful for small models such as the ADM1-R4 and simplified versions of the ADM1-R3, which were derived in this context. However, for larger model classes the algebraic approach showed to be insufficient. By contrast, the geometric approach, implemented in the STRIKE GOLDD toolbox, allowed to show observability for more complex models (including ADM1-R4 and ADM1-R3), employing two independent algorithms. The present study lays the groundwork for state observer design, parameter estimation and advanced control resting upon ADM1-based models.

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Optimal Multi-Target Path Planing control for Multiple Mobile Robot system

Optimal Multi-Target Path Planing Control for Multiple Mobil...

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International Conference on system Science and engineering (ICSSE)

作者： Van-Phong Vu Tu-Gia-Thinh Nguyen Xuan-Sang Nguyen Van-Tung Le Van-Thuyen Ngo Duc-Hung Pham Hoang Kim Uyen Department of Automatic Control Ho Chi Minh city University of Technology and Education Ho Chi Minh city Vietnam Faculty of Electrical and Electronic Engineering Hung Yen University of Technology and Education Hung Yen Vietnam Faculty of Electronics and Telecommunication Engineering Da Nang University of Science and Technology Da Nang Vietnam

In this paper, the problems related to cooperative control for the multiple mobile robot system (MMRS) is presented. The LIDAR sensor is employed to obtain the 2D map of the indoor space. The formation control and the leader-following algorithm are applied to control the MMRS moving in a specific formation. Additionally, this paper considers the scenario that the MMRS has to move to several targets in the indoor space with many obstacles. Therefore, the indoor travelling salesman problem-based Ant Colony Optimization (ACO) is studied in this work to determine the optimal moving path of the MMRS. To prove the effectiveness and merit of the proposed methods, the simulation results are provided in this article.

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Photodegradation of psychotropic medications: Impact on efficacy, safety, and drug properties

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computers in Biology and Medicine 2025年 191卷 110115-110115页

作者： Udrea, Ana-Maria Buiu, Catalin Staicu, Angela Dabu, Aurelia Nicoleta Avram, Speranta Laser Department National Institute for Laser Plasma and Radiation Physics Magurele Ilfov Romania Department of Anatomy Animal Biology Animal Physiology and Biophysics Faculty of Biology University of Bucharest Bucharest Romania Earth Environmental and Life Sciences Section Research Institute of the University of Bucharest University of Bucharest Romania Department of Automatic Control and Systems Engineering Politehnica University of Bucharest Bucharest Romania Department of Neurosurgery The University Emergency Hospital of Bucharest Bucharest Romania

Antipsychotics and antidepressants are essential psychotropic medications used for treating various mental health conditions such as depression, schizophrenia, and bipolar disorder. However, when exposed to light, these compounds are susceptible to photodegradation, potentially changing their biological activity and safety profiles. This study evaluates the pharmacokinetic and pharmacodynamic properties of several photoproducts derived from 13 psychotropic drugs. We used computational methods to predict the biological activity, toxicity, and drug-like properties of the photoproducts. Our results indicate that photoproducts such as amisulpride_TP166, TP246, quetiapine_D4, and quetiapine_PH1 show enhanced biological affinity and ADME-Tox profiles similar to their parent compounds, suggesting possible therapeutic advantages in their interaction with targeted receptors. However, some of the photocompounds exhibit lower predicted binding affinities when interacting with those receptors compared to their parent compounds, indicating a possible loss of function. These findings emphasize the need for further investigation into the effects and safety of drug photoproducts, particularly in the context of long-term pharmacotherapy. © 2025 The Author(s)

关键词： Bioactivity

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Internet of Things and Health Care in Pandemic COVID-19: system Requirements Evaluation

arXiv

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arXiv 2022年

作者： Naji, Hasan K. Goga, Nicolae Karkar, Ammar J.M. Marin, Iuliana Ali, Haider Abdullah Doctoral School of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania Faculty of Engineering in Foreign Languages University Politehnica of Bucharest Bucharest Romania Molecular Dynamics Group University of Groningen Groningen Netherlands IT research and development centre Electronic and communication Engineering Department University of Kufa Najaf Iraq

Technology adoption in healthcare services has resulted in advancing care delivery services and improving the experiences of patients. This paper presents research that aims to find the important requirements for a remote monitoring system for patients with COVID-19. As this pandemic is growing more and more, there is a critical need for such systems. In this paper, the requirements and the value are determined for the proposed system, which integrates a smart bracelet that helps to signal patient vital signs. (376) participants completed the online quantitative survey. According to the study results, Most Healthcare Experts, (97.9%) stated that the automated wearable device is very useful, it plays an essential role in routine healthcare tasks (in early diagnosis, quarantine enforcement, and patient status monitoring), and it simplifies their routine healthcare activities. I addition, the main vital signs based on their expert opinion should include temperature (66% of participants) and oxygenation level (95% of participants). These findings are essential to any academic and industrial future efforts to develop these vital wearable systems. The future work will involve implementing the design based on the results of this study and use machine-learning algorithm to better detect the COVID-19 cases based on the monitoring of vital signs and symptoms. © 2022, CC BY.

关键词： Health care

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Training virtual reality-based system for detection and simulation of motors failures 4

Training virtual reality-based system for detection and simu...

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4th International Conference on Mechanical, Electric and Industrial engineering, MEIE 2021

作者： Riofrio-Morales, Marco Garcia, Marcelo V. Faculty of Systems Electronics and Industrial Engineering Universidad Tecnica de Ambato De los Chasquis Av. Ambato180103 Ecuador Department of Automatic Control and Systems University of the Basque Country Torres Quevedo Ingeniaria Plaza Bilbao48013 Spain

The need to have human resources trained efficiently is imperative. However, most industries do not give it the necessary importance. Similarly, staying technologically up-to-date allows the industrial sector to optimize its resources and satisfy the needs of its customers. This research presents the development of a virtual reality (VR) system for learning fault detection and correction in induction motors. It has been compared to a conventional methodology in terms of time and acquired knowledge. A 58% reduction was observed in the first parameter, while for the second, a p-value of 0.0000005 was obtained, thus demonstrating that this system is more efficient than conventional training in terms of learning. Finally, its usability was evaluated with the VRUSE method, with averages above 3.8 and standard deviations below 0.70. © Published under licence by IOP Publishing Ltd.

关键词： Induction motors

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Efficient Linearized Model of Pressurizer system in Pressurized Water Reactors for control Purposes 4

Efficient Linearized Model of Pressurizer System in Pressuri...

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4th International Conference on Advanced Technology and Applied Sciences, ICaTAS 2019

作者： Sheta, A.A. Ali, E.H. Fikry, R.M. Mahmoud, T.A. El-Araby, S.M. Mahmoud, M.I. Engineering Department Nuclear Research Centre Atomic Energy Authority Egypt Automatic Control and Industrial Electronics Department Faculty of Electronic Engineering Menoufya University Egypt

The pressurizer has an important role to ensure the protected operation of pressurized water reactor (PWR) by keeping the reactor coolant system pressure among allowed tolerances. In this paper, a non-equilibrium two-region nonlinear pressurizer (PZR) model was linearized using Taylor technique to introduce the linear models of pressurizer transients for the controller design purposes. Taylor series expansion of functions around an equilibrium point was calculated. The same assumptions of the reference model are considered in linearized model. The linearized model consists of five states;rate of changes for: mass of steam &water in the PZR, mass of water in the PZR, mass of water in the PC, steam temperature in PZR, and water temperature in PZR. The nonlinear and linear PZR models was implemented in MATLAB/Simulink. The linearized model of PZR is verified. The performance of linearized model of PZR and nonlinear model is consistent with small and acceptable errors. The closed-loop of the linearized model of PZR pressure and water level is implemented and investigated using standard Proportion-Integration-Differentiation (PID) controllers. Simulation results and the evaluation performance indicate that the proposed linear model of PZR is efficient, and it can be used for control purposes. © Published under licence by IOP Publishing Ltd.

关键词： Pressurized water reactors

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Distributed control of Descriptor Networks: A Convex Procedure for Augmented Sparsity

arXiv

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arXiv 2021年

作者： Sperilă, Andrei Oară, Cristian Ciubotaru, Bogdan D. Sabău, Şerban Faculty of Automatic Control and Computers "Politehnica" University of Bucharest Sector 6 060042 Romania Electrical and Computer Engineering Department Stevens Institute of Technology HobokenNJ07030 United States

For networks of systems, with possibly improper transfer function matrices, we present a design framework which enables H∞ control, while imposing sparsity constraints on the controller’s coprime factors. We propose a convex and iterative optimization procedure with guaranteed convergence to obtain distributed controllers. By exploiting the robustness-oriented nature of our proposed approach, we provide the means to obtain sparse representations of our control laws that may not be directly supported by the network’s nominal model. © 2021, CC BY.

关键词： Convex optimization

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Path Planning of Quadrotors in a Dynamic Environment Using a Multicriteria Multi-Verse Optimizer

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computers, Materials & Continua 2021年第11期69卷 2159-2180页

作者： Raja Jarray Mujahed Al-Dhaifallah Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis El ManarTunis1002Tunisia Department of Systems Engineering King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

Paths planning of Unmanned Aerial Vehicles(UAVs)in a dynamic environment is considered a challenging task in autonomous flight control *** this work,an efficient method based on a Multi-Objective MultiVerse Optimization(MOMVO)algorithm is proposed and successfully applied to solve the path planning problem of quadrotors with moving *** a path planning task is formulated as a multicriteria optimization problem under operational *** proposed MOMVO-based planning approach aims to lead the drone to traverse the shortest path from the starting point and the target without collision with moving *** vehicle moves to the next position from its current one such that the line joining minimizes the total path length and allows aligning its direction towards the *** choose the best compromise solution among all the non-dominated Pareto ones obtained for compromise objectives,the modified Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)is investigated.A set of homologous metaheuristics such as Multiobjective Salp Swarm Algorithm(MSSA),Multi-Objective Grey Wolf Optimizer(MOGWO),Multi-Objective Particle Swarm Optimization(MOPSO),and Non-Dominated Genetic Algorithm II(NSGAII)is used as a basis for the performance *** results and statistical analyses show the superiority and effectiveness of the proposed MOMVO-based planning *** obtained results are satisfactory and encouraging for future practical implementation of the path planning strategy.

关键词： Quadrotors path planning dynamic obstacles multi-objective optimization global metaheuristics TOPSIS decision-making Friedman statistical tests

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Design of Observer-Based Adaptive Fuzzy Fault-Tolerant control for Pneumatic Active Suspension with Displacement Constraint

Design of Observer-Based Adaptive Fuzzy Fault-Tolerant Contr...

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International Conference on system Science and engineering (ICSSE)

作者： Cong Minh Ho Hoang Vu Dao Duc Thien Tran Kyoung Kwan Ahn Faculty of Mechanical Engineering Ho Chi Minh City University of Technology and Education Ho Chi Minh City Vietnam School of Mechanical and Automotive Engineering University of Ulsan Ulsan South Korea Department of Automatic Control Ho Chi Minh City University of Technology and Education Ho Chi Minh City Vietnam

This study deals with the fault tolerance problem of an active air suspension system considering parametric uncertainties and sprung mass displacement in the event of sensor fault and unmeasured signals. A pneumatic spring is used to set up a quarter of the car model to investigate the flexible stiffness and provide an active force that can suppress chassis vibrations. To approximate unknown nonlinear parameters of air spring actuator dynamics, fuzzy logic systems (FLSs) are used as function approximators. Sensor failure is considered while all system states are assumed to be unmeasured variables. A fuzzy state observer is then designed to approximate the unknown system states and overcome the effective loss of sensor fault. Adaptive fault-tolerant control based on command filter backstepping technique to solve the problem of exploding complexity. To enhance tracking accuracy, this study involves a prescribed performance technique such that the sprung mass displacement is guaranteed between the predefined boundaries. Finally, the effectiveness of the proposed control is verified by comparative simulation examples under the presence of sensor fault and unknown system states.

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Research on cooperative adaptive cruise control system for autonomous vehicles based on distributed model predictive control

Research on cooperative adaptive cruise control system for a...

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2021 International Conference on system Science and engineering, ICSSE 2021

作者： Luu, Duc Lich Pham, Huu Truyen Lupu, Ciprian Nguyen, Thanh Binh Ha, Sang Truong University Politehnica of Bucharest Faculty of Automatic Control and Computers 313 Splaiul Independentei Street Sector 6 Bucharest Romania Vinh University of Technology Education 117 Nguyen Viet Xuan Street Nghe An Province Vinh City Viet Nam Le Quy Don Technical University Faculty of Mechanical Engineering 236 Hoang Quoc Viet Street Hanoi Viet Nam

ISBN: (纸本)9781665448482

As a beneficial way of increasing traffic capacity, autonomous vehicle platoons have paid extensive attention recently. This study proposes a Distributed Model Predictive control (DMPC) algorithm with input constraints. This algorithm is a suitable application for Cooperative Adaptive Cruise control (CACC) in the vehicle platoon. The platoon's leading vehicle is to track an imposed velocity reference, the rest of the platoon is to track the velocity of the preceding while maintaining an imposed desired reference between any consecutive vehicles, which is proportional to its velocity. A varied communication range in the predecessor following (PF) topology is used for a platoon. The effectiveness of the proposed method is verified with some illustrative results. © 2021 IEEE.

关键词： Constrained optimization

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