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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Birs, Isabela Muresan, Cristina Ghita, Mihaela Ghita, Maria Nascu, Ioana Ionescu, Clara Technical University of Cluj-Napoca Automation Department Romania Ghent University DySC Research Group on Dynamical Systems and Control Belgium

ISBN: (纸本)9798350337020

General anesthesia is used to induce a reversible loss of consciousness in a patient to ensure they are completely unaware and pain-free during a surgical procedure. This is achieved through the administration of a combination of drugs that depress the central nervous system and can include intravenous injections, inhaled gases, or a combination of both. During the anesthesia maintenance phase, the events in surgery are not continuous, but obey a profile similar to that endorsed by event-based control. The present study considers event-based control as a natural solution to the control challenge of general anesthesia. Two fractional order Proportional Integral (PI) controllers are tuned and implemented using a decentralized approach to control a part of general anesthesia based on hemodynamic variables. The results show that this approach can be successfully used to keep Cardiac Output and Mean Arterial Pressure stable, with a special focus on patient safety, through fast detection of surgical stimulus and robustness to inter/intra patient variability. © 2023 IEEE.

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Model Identification and control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 203-215页

作者： Isabela Birs Cristina Muresan Dana Copot Clara Ionescu Research Group of Dynamical Systems and Control Faculty of Engineering and ArchitectureGhent University and with EEDT Decision&ControlFlanders Make ConsortiumTech Lane Science Park 125 and 131B-9052 GhentBelgium.I.Birs the Automation Department Faculty of Automation and Applied InformaticsTechnical University of Cluj-NapocaRomania IEEE

This paper presents an original theoretical framework to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natural convergence of distributed parameter systems to fractional order transfer function models. Data driven identification from a real continuous casting line is used to identify model of the electromagnetic actuator device to control flow velocity of liquid steel. To ensure product specifications, a fractional order control is designed and validated on the system. A projection of the closed loop performance onto the quality assessment at end production line is also given in this paper.

关键词： Electromagnetic actuator fractional order control fractional order system model non-Newtonian material

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Uncertainty and its Effect on Optimal Multidrug control of Hemodynamic Variables

Uncertainty and its Effect on Optimal Multidrug Control of H...

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2024 American control Conference, ACC 2024

作者： Popescu, Teodora Birs, Isabela R. Othman, Ghada Ben Yumuk, Erhan Mihai, Marcian Hegedus, Erwin Copot, Dana De Keyser, Robin Ionescu, Clara M. Muresan, Cristina I. Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Research Group on Dynamical Systems and Control Department of Electromechanics Systems and Metal Engineering Tech Lane Science Park 125 Gent9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Maslak Istanbul34469 Turkey

ISBN: (纸本)9798350382655

Computer aided control in biomedical applications is gaining more and more popularity due to numerous research studies that have proven the efficiency of automatic control over manual dosing, which is highly susceptible to human errors. Optimal drug dosing is best achieved using automatic control, which triggers important benefits in terms of both costs and patient side-effects. However, mathematical models for patients are highly susceptible to large modeling uncertainty. A predictive control algorithm is designed in this paper for optimal multidrug control of hemodynamic variables. Improved closed loop performance is obtained compared to similar control strategies, for ± 30% modeling uncertainty. The simulation results demonstrate that predictive control is a feasible solution for optimal drug dosing. An analysis of the closed loop performance for significant patient variability shows that controllers tuned using a nominal patient model often fail to achieve desired robustness. To limit the effect of modeling uncertainty, the prediction model should be updated using an online identification tool to extract patient features. © 2024 AACC.

关键词： Predictive control systems

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Discrete Sliding Mode Predictive control of Networked control systems 42

Discrete Sliding Mode Predictive Control of Networked Contro...

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42nd Chinese control Conference, CCC 2023

作者： Chi, Chuanguo Liu, Guo-Ping Ionescu, Clara-Mihaela Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin150001 China Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Ghent University Research Group on Dynamical Systems and Control GhentB-9052 Belgium

ISBN: (纸本)9789887581543

This article studies the application of discrete sliding mode predictive control (SMPC) in networked control systems, introducing sliding mode control (SMC) into model predictive control (MPC), and prediction the state and output vector based on sliding mode control. By combining the strong robustness of sliding mode control and the advantage of model predictive control in dealing with communication constraints in network control, an incremental SMPC trajectory tracking control scheme based on a state observer is designed. The effectiveness and practicability of the designed control scheme is verified by tracking experiments on reference inputs in a dSPACE-based networked lighting control system. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Sliding mode control

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Advancing Anesthesia Education: Training on Modeling and control for Enhanced Patient Care

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IFAC-PapersOnLine 2024年第26期58卷 152-157页

作者： Teodora Popescu Nicoleta Badau Marcian Mihai Erwin Hegedus Isabela Birs Dana Copot Eva H. Dulf Cristina I. Muresan Technical University of Cluj-Napoca Romania Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 9052 Zwijnaarde Belgium

This paper introduces a training program focused on anesthesia modeling and control. The curriculum centers on the utilization of an open-source patient simulator and covers open-loop analysis, relative gain array analysis, and modeling for control purposes, preparing students for closed-loop anesthesia management. A decentralized approach to controller tuning is adopted, with emphasis on both standard PID and generalized fractional order PID controllers. Through practical exercises and simulations, students acquire essential skills to understand anesthesia modeling and control challenges effectively, contributing to improved patient outcomes in clinical practice.

关键词： closed loop control of anesthesia interdisciplinary training on control in biomedical engineering patient simulator

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application 42

An Event-Triggered Tracking Control Scheme Based on Predicti...

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42nd Chinese control Conference, CCC 2023

作者： Cao, Lei Yumuk, Erhan Ionescu, Clara-Mihaela Liu, Guo-Ping Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Ghent University Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent9052 Belgium Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Istanbul Technical University Department of Control and Automation Engineering Istanbul34467 Turkey

ISBN: (纸本)9789887581543

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Networked control systems

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Model predictive control of hemodynamics during intravenous general anesthesia 27

Model predictive control of hemodynamics during intravenous ...

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Farbakhsh, Hamed Yumuk, Erhan Othman, Ghada Ben De Keyser, Robin Copot, Dana Birs, Isabela Ionescu, Clara M. Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 Zwijnaarde9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Istanbul Turkey Technical University of Cluj-Napoca Department of Automation Memorandumului no. 28 Cluj-Napoca400114 Romania

ISBN: (纸本)9798350337983

In the operating rooms and the intensive care unit, it is crucial to manage the patient's hemodynamic status, which includes factors like cardiac output and mean arterial pressure. Anesthesiologists confront a difficult task while monitoring high-risk patients. Cardiac output optimization has been found to enhance the result of high-risk patients in terms of hospital stay, mortality rate, post-operative problems, etc. The application of standard control approaches is restricted because the mean arterial pressure response of a patient using vasoactive medicines is modeled by a first-order dynamical system with time-varying parameters and a time-varying delay in the control input. In order to circumvent implementation challenges, this work develops an approximation technique that describes the system using a higher-order model. Predictive control is therefore used to comprehend the practical application of higher-order hemodynamic systems. The effectiveness of this strategy is demonstrated by the simulations and outcomes that are given. © 2023 IEEE.

关键词： Model predictive control

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Event-Based Fractional Order MIMO control for Hemodynamic Stabilization During General Anesthesia

Event-Based Fractional Order MIMO Control for Hemodynamic St...

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IEEE International Conference on systems, Man and Cybernetics

作者： Isabela Birs Cristina Muresan Mihaela Ghita Maria Ghita Ioana Nascu Clara Ionescu Automation Department Technical University of Cluj-Napoca Romania DySC research group on Dynamical Systems and Control Ghent University Belgium

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Context-Aware control for Quality Improvement in Liquid Steel Manufacturing

Context-Aware Control for Quality Improvement in Liquid Stee...

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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Birs, Isabela R. Muresan, Cristina I. Susca, Mircea Mihaly, Vlad Mihai Ghita, Mihaela Ghita, Maria De Keyser, Robin Ionescu, Clara Eedt Decision & Control Flanders Make Consortium Tech Lane Science Park 125 and 131 GhentB-9052 Belgium Ghent University Research Group of Dynamical Systems and Control Faculty of Engineering and Architecture Belgium Technical University of Cluj Napoca Department of Automation Memorandumului nr 28 Cluj-Napoca400114 Romania

ISBN: (纸本)9798350335446

This paper presents an original theoretical and implementation framework of fractional order event-based control with the purpose of quality improvement at the end production line of a continuous casting process. A real-life steel manufacturing plant is taken into consideration in the study. A prior fractional order model is considered to tune a fractional order Proportional Integral controller that ensures an ideal flow velocity of liquid steel. A novel event-based fractional order methodology is proposed that uses internal and external process events in order to improve quality. The implementation strategy takes into consideration available software and hardware components at the plant site, offering a realistic and implementable solution, highly suitable for the current steel industry setting. Numeric simulations successfully validate the proposed methodology. © 2023 IEEE.

关键词： Steelmaking

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Optimal Fractional Order PID based on a Modified Ziegler-Nichols method

Optimal Fractional Order PID based on a Modified Ziegler-Nic...

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2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022

作者： Hegedus, Erwin T. Birs, Isabela R. Ghita, Mihaela Ionescu, Clara M. De Keyser, Robain Muresan, Cristina I. Ghita, Maria Nascu, Ioan Technical University of Cluj-Napoca Dept. of Automation Cluj-Napoca Romania Ghent University DySC Research Group EEDT D&C Flanders Make Ghent Belgium DySC Research Group on Dynamical Systems and Control Ghent University Ghent Belgium

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

Industry requires simple, yet efficient tuning methods for controllers. One of these tuning methodologies is the popular Ziegler-Nichols approach that requires little information regarding the process and has some pre-definite tuning rules. Although intensive research has been done in non-integer order controllers and their advantages have been demonstrated, their complexity and tedious tuning kept them away from industrial acceptance. In this manuscript, an existing Ziegler-Nichols method for fractional order controllers is modified to yield optimal parameters. The tuning rules and the optimization algorithm are simple, yet they lead to efficient fractional orders controllers. Simulation results are included to validate the proposed method. © 2022 IEEE.

关键词： controllers

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