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European control Conference (ECC)

作者： A. R. Ynineb H. Farbakhsh G. Ben Othman Y. Wahlquist I. R. Birs E. Yumuk C. I. Muresan R. De Keyser D. Copot C. M. Ionescu M. Neckebroek Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Ghent University Gent Belgium Department of Automatic Control Lund University Lund Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Control and Automation Engineering Istanbul Technical University Maslak Istanbul Turkey Department of Anesthesia Ghent University Hospital Ghent Belgium

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This study aims to compare the effectiveness of different Pharmacokinetic-Pharmacodynamic (PK-PD) models for administering Propofol and Remifentanil, two critical agents in anesthesia. Initially, different PK models were introduced: one for Propofol based on the Schnider model and another for Remifentanil using the Minto model. Alternatively, both drugs were modeled using the Eleveld models. The PK-PD models were integrated into a closed-loop control system using model predictive control (MPC) with disturbances to control the Bispectral index (BIS) and the Richmond Agitation Sedation Scale (RASS). The methodology involved simulating the anesthetic agents in the open-source patient simulator (2 inputs, 2 outputs) with 12 patient datasets in a controlled environment to simulate the patient response variability, allowing for a detailed analysis of the model's performance in maintaining optimal drug concentrations. The primary focus was on the system's ability to adapt to surgical disturbances, a key challenge in anesthesia management, and whether a different modeling of drugs can have an impact on their effects. The results indicated significant differences in the performance of the two models configurations. The Eleveld model for Propofol showed less usage of drugs to maintain the desired BIS value. Concluding that this comparative analysis offers a valuable reference for selecting appropriate modeling approaches in the development of advanced control strategies in anesthesia.

关键词： Drugs Analytical models Adaptation models Surgery Europe Predictive models Anesthesia

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Scheduled Sampling Training Framework for ANN-Based PID control

Scheduled Sampling Training Framework for ANN-Based PID Cont...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： Pau Comas Jose Lopez Vicario Antoni Morell Ramon Vilanova Wireless Information Networking (WIN) Research Group Escola d'Enginyeria Universitat Autònoma de Barcelona Bellaterra Spain Automation and Advanced Control Systems (ASAC) Research Group Escola d'Enginyeria Universitat Autònoma de Barcelona Bellaterra Spain

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Proportional-Integral-Derivative (PID) controllers are extensively used in industrial control applications due to their simplicity and effectiveness in various control tasks. In recent years, there has been a growing emphasis on the integration of Artificial Neural Networks (ANNs) with control theory. This integration aims to harness the versatility of ANNs to facilitate controller design in dynamic environments. Additionally, it opens the possibility of transfer learning for these models, allowing knowledge gained from one control scenario to be applied to others' thereby enhancing adaptability and efficiency in control applications. In this work-in-progress paper, we propose a training framework that addresses the key challenges of modeling PIDs as ANNs, specifically the discrepancy between training and inference behaviors, known as exposure bias, commonly encountered in text summarization models. To tackle this, we integrate scheduled sampling, a technique devised for text sequence generation tasks, with an online control simulation environment.

关键词： Training Adaptation models PI control Transfer learning Text summarization process control Artificial neural networks control theory PD control Manufacturing automation

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An event-triggered tracking control scheme based on predictive control method and its application

An event-triggered tracking control scheme based on predicti...

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第42届中国控制会议

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

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 *** 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.

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Analysis of Equilibrium Point and Genetic Algorithm Design of Observer-Based PID controller for Membrane Bioreactor

Analysis of Equilibrium Point and Genetic Algorithm Design o...

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2021 International Automatic control Conference, CACS 2021

作者： Changsila, Yanita Banjerdpongchai, David Intelligent Control Automation of Process Systems Research Unit Dept. of Electrical Engineering Faculty of Engineering Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok10330 Thailand

ISBN: (纸本)9781665444125

The operation of most wastewater treatment systems is an open-loop system. There is limited feedback control of membrane bioreactors (MBR) which makes it impossible to regulate the quality of the treated water. The objectives of this paper are twofold. First, we analyze the equilibrium point of the MBR nonlinear model. Second, we utilize output feedback control with state observer and design optimal PID controllers. We determine the optimum equilibrium point and derive a linearized model of MBR. Then, we design the state observer to estimate the non-measurable state using the pole placement method. Both the measurable output and estimated state are fed back through PID controller. The objectives of PID control consist of stabilization and performance improvement. Genetic Algorithm is applied to find the optimal PID parameters that minimize the integral of absolute error and satisfy the specified time-domain criteria. We apply the observer-based PID controller to the linearized model of MBR. Numerical results demonstrate the design of PID controller and the improvement of the closed-loop response and quality of the treated water. © 2021 IEEE

关键词： Bioreactors

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Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

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IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1692-1703页

作者： Xingxia Wang Jing Yang Yutong Wang Qinghai Miao Fei-Yue Wang Aijun Zhao Jian-Ling Deng Lingxi Li Xiaoxiang Na Ljubo Vlacic School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China North Automatic Control Technology Institute Taiyuan 030006China China Huaneng Group Co. Ltd.Beijing 100031China Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis(IUPUI)IndianapolisIN 46202 USA Department of Engineering University of CambridgeCambridgeCB21PZUK School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the ***,there is no consensus on why and what is Industry 5.0 *** this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future *** believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart *** are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

关键词： ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence

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Experimental comparison between discrete time and event-based PID controllers on a nonlinear process

Experimental comparison between discrete time and event-base...

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2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

作者： Birs, Isabela Muresan, Cristina Nascu, Ioan De Keyser, Robin Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania DySC Research Group on Dynamical Systems and Control Ghent University Ghent Belgium

ISBN: (纸本)9781665412629

Event-based Proportional Integral Derivative controllers are a non-standard approach of implementing classical PID controllers. The main advantage of this implementation choice is the reduced control effort, a useful feature in industrial applications, the kingdom of the PID control. The present study combines two important industrial traits: the PID autotuner to facilitate the engineer's task and its event based implementation to optimize resources such as CPU and bandwidth. The paper provides the tuning methodology of an event-based PID controller using the KC autotuner method. A highly nonlinear real-life vertical take-off and landing platform is used as a case study to implement the event-based PID as well as the classical, discrete PID. The performance of both controllers is assessed in order to experimentally determine whether the event-based approach is a viable solution for real-life implementations. © 2021 IEEE.

关键词： Three term control systems

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Trajectory Tracking for Directional Drilling in Underground Coal Mine Using Robust Model Predictive control 26

Trajectory Tracking for Directional Drilling in Underground ...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Wu, Jiajun Lu, Chengda Li, Hao Wei, Hongchao Wu, Min School of Future Technology China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Xi'an Research Institute Co. Ltd. China Coal Technology and Engineering Group Xi'an710077 China China Coal Research Institute Beijing100013 China

ISBN: (纸本)9798331521950

This paper studies the problem of trajectory tracking control for directional drilling in underground coal mine by devising a robust model predictive control method. First, a directional drilling trajectory extension model is obtained by the linearization of a drilling tool kinematic model through the Taylor series expansion in the borehole depth domain. Then, in view of the influence of the uncertainty of the drilling tool slope and external interference, a robust model predictive control method is introduced in the form of an optimal control problem. A sufficient condition is obtained to calculate the corresponding controller gain matrix on the premise of satisfying the stability of the closedloop control system and the H∞ performance index. At last, the effectiveness of our method is illustrated through simulation analysis. Compared with model predictive control, robust model predictive control directly incorporates the uncertainty of the drilling tool slope and external interference into the control design, enabling it to better adapt to the complex and variable underground coal mine environment. © 2025 IEEE.

关键词： Predictive control systems

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First-Hand Design of a Fractional order PID for controlling the Depth of Hypnosis during Induction

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IFAC-PapersOnLine 2024年第7期58卷 186-191页

作者： Marcian Mihai Isabela Birs Hegedus Erwin Dana Copot Martine Neckebroek Robain De Keyser Clara M. Ionescu Cristina I. Muresan Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 Gent 9052 Belgium Ghent University Hospital Department of Anesthesia C. Heymanslaan 10 9000 Ghent Belgium

The integration of information technology and control engineering has significantly increased in the research field of clinical practice, including the management of medication dosing for general anesthesia. To achieve effective drug dosing, it is necessary to have appropriate controllers for closed loop control methods. A multitude of control mechanisms have been devised to manage hypnosis, with most of them based on pharmacokinetic-pharmacodynamic (PK-PD) models. This study presents a novel structure of a fractional order PID controller tuned for inducing hypnosis. The tuning algorithm uses a novel fractional order model instead of the classical PK-PD models. The main goal is to control the Bispectral Index by delivering Propofol during the hypnotic stage of anesthesia. Closed loop simulation results show that the proposed controller manages to ensure little undershoot and time to target for a nominal patient model. Robustness tests are also performed. The analysis shows that the proposed controller is suitable to maintain BIS signal within a safe operating range but fails to meet the time to target requirement for significant patient variability (greater than 2 orders of magnitude). Online adaptation rules are suggested as a solution.

关键词： drug dosing anesthesia closed loop control of anesthesia fractional-order models for hypnosis fractional order control

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A compact fractional-order model for hypnosis in general anesthesia

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IFAC-PapersOnLine 2024年第12期58卷 55-60页

作者： Marcian Mihai Isabela Birs Hegedus Erwin Dana Copot Robain De Keyser Clara M. Ionescu Cristina I. Muresan Martine Neckebroek Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 Gent 9052 Belgium Ghent University Hospital Department of Anesthesia C. Heymanslaan 10 9000 Ghent Belgium

The research field of clinical practice has witnessed a notable increase in the integration of information technology and control systems engineering tools and the paradigm of drug dosing management for general anesthesia is no exception. Progressing from adequate to optimal drug dosing requires suitable models for closed loop control algorithms. High order, complex parameterized models for hypnosis are available but as one cannot measure real drug concentrations, accurate modelling is not possible. Moreover, ethical limitations impose serious restrictions as to the type of excitatory signals acceptable to patient effect response evaluations. This paper proposes an innovative approach to determine fractional order models to compactly represent the dynamics inherent to the hypnosis response. A simplifying assumption is being made: instead of multi-compartmental models, a single transfer model is proposed consisting of a fractional-order dynamic that directly connects Propofol, the administered drug, and the Bispectral (BIS) index, the measure of hypnosis. The proposed model is validated against clinical data and compared to integer order models to prove its suitability. Results suggest the model may be well used with control algorithms for computerized drug dosing management.

关键词： drug dosing anesthesia closed loop control of anesthesia fractional-order impedance hypnosis modelling

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Convolutional Neural Networks for Predicting Energy Efficiency of Air Conditioning systems 17

Convolutional Neural Networks for Predicting Energy Efficien...

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17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020

作者： Kittisarakul, Supitchaya Banjerdpongchai, David Chulalonkorn University Intelligent Control Automation of Process Systems Research Unit Bangkok10330 Thailand

ISBN: (数字)9781728164861

ISBN: (纸本)9781728164861

This paper presents a prediction of the energy efficiency of air conditioning system using convolutional neural network (CNN). Coefficient of Performance (COP) is used as a measure of energy efficiency. In previous work, the study employed autoregressive with exogenous inputs (ARX) as a model for COP prediction. In this paper, the obtained data are preprocessed, and COP is calculated and used in the training process. We employ CNN to build two sub-models to separately predict temperature difference and power consumption using the past 30-minute data of room temperature, ambient temperature, and power consumption. The models are tested with historical data and compute the root mean square error (RMSE) as a prediction indicator. We compare the proposed CNN with ARX and Artificial Neural Network (ANN). The results show that CNN yields RMSE significantly less than that of ARX and ANN. However, the prediction from CNN seems to have lagging behavior in some seasons which might be due to the fluctuation of seasonal weathers. © 2020 IEEE.

关键词： Energy efficiency

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