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A compact fractional-order model for hypnosis in general anesthesia

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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Method for Improvement of Biosignal Measurement Accuracy in the IoB System

Method for Improvement of Biosignal Measurement Accuracy in ...

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International Conference on Soft Computing and Measurements (SCM)

作者： Yeldos A. Altay Raisa K. Uskenbayeva Alexey V. Fedorov Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Satbayev University Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation

ISBN: (数字)9798350363708

ISBN: (纸本)9798350363715

This paper presents filtering methods for improvement of biosignal measurement accuracy - an ECG signal under the influence of electromagnetic interference, which has a significant impact on the operation of the IoB system. A single-frequency polynomial notch filter has been synthesized to filter this noise to improve the accuracy of ECG signal measurement. The results of the implementation of the synthesized notch filter demonstrated that the filter makes it possible to separate the informative component from the distorting noise and increase the accuracy of signal measurement during its implementation in comparison with wavelet filters.

关键词： Accuracy Shape Filtering Electromagnetic interference Measurement uncertainty Electrocardiography Polynomials

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Process Monitoring of Operational Cost for Wastewater Treatment Processes Using Variants of ARMA Models Based Soft-sensors 11

Process Monitoring of Operational Cost for Wastewater Treatm...

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11th IEEE Data Driven control and Learning systems Conference, DDCLS 2022

作者： Lu, Yu Liu, Yiqi Li, Dong Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou510640 China Technical University of Denmark Department of Chemical and Biochemical Engineering Lyngby Denmark

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Process monitoring of operation cost index (OCI) is of great importance for wastewater treatment plants (WWTPs), which is not only able to support financial budget, but also to optimize local operation. This paper proposed four variants of auto-regressive and moving average (ARMA), based on recursive least squares algorithm (RLS), ARMA based on recursive extended least squares algorithm (RELS), nonlinear auto-regressive neural network (NARNN), and nonlinear auto-regressive neural network with external input (NARXNN) respectively, to predict the operating cost in WWTPs. The proposed methods were validated in the simulation platform, Benchmark Simulation Model No.2-P (BSM2-P). On account of the strong nonlinearity of the wastewater treatment process, the nonlinear model, like NARXNN, achieved better performance in terms of mean square error (MSE) and correlation coefficient (R). © 2022 IEEE.

关键词： Wastewater treatment

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Principles of Safety Signalling and Traffic control systems Synthesis on Railways

Principles of Safety Signalling and Traffic Control Systems ...

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2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

作者： Efanov, Dmitrii V. Khoroshev, Valerii V. Osadchy, German V. Materials and Transport Peter the Great St. Petersburg Polytechnic University Higher School of Transport Institute of Mechanical Engineering St. Petersburg Russia The Russian University of Transport Department of Automation Remote Control and Communication on Railway Transport Moscow Russia Russian University of Transport Miit Department of Automation Remote Control and Communication on Railway Transport Moscow Russia Integrated Monitoring Systems Llc Deputy General Director - Chief Engineer of Scientific and Technical Center St. Petersburg Russia

ISBN: (纸本)9781665475952

The paper authors analyze the safety control systems synthesis problem for critical technological processes on the railway signalling and automation systems. It is shown that modern control systems for complex distributed systems, such as a railway transport system, are not implemented with absolute safety. Such systems safety is limited by considering only their own failures, control systems and their components external failures, as well as infrastructure objects failures that directly interact with control devices. Other infrastructure facilities are not considered in any way during automatic control and data transfer to on-board automation. We presents the theoretical principles for the safety train traffic control system synthesis, considering the capabilities of equipping infrastructure facilities with highly reliable and safe means of technical diagnostics and monitoring. A simplified structure of the central train traffic control complex is given, considering the diagnosing and monitoring results of all transportation process components. The conditions for the completely safety train traffic control systems synthesis are formulated. The tasks going with the safe control system synthesis problem are noted. The railway infrastructure facilities and rolling stock parameters comprehensive accounting will allow reaching a qualitatively higher level of train traffic safety. © 2023 IEEE.

关键词： Remote control

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An Integral Model for Pipeline Gas Flow 3

An Integral Model for Pipeline Gas Flow

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3rd International Conference on control systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2021

作者： Podvalny, Semen Kutsova, Elena Vasiljev, Eugeny Voronezh State Technical University Department of Automated and Computing Systems Voronezh Russia Subsidiary Open Joint Stock Company Gazproektengineering Moscow Russia Voronezh State Technical University Department of Electric Drive Automation and Control in Technical Systems Voronezh Russia

ISBN: (纸本)9781665439817

The problem of constructing a mathematical model for calculating the stationary characteristics of the gas in the pipeline is solved. An analysis of models that are most frequently used in practical guidelines and regulatory documents on the operation and calculation of gas pipelines was carried out. It is shown that the disadvantages of known models are caused by the desire to obtain distribution of pressure and gas temperature in the form of obvious analytical expressions that are not connected between themselves. It has been established that such expressions can only be obtained as a result of the assumptions about the constancy of the Joule-Thomson coefficient along the line, as well as an exception from the consideration of the change in the kinetic energy of gas, the loss of pressure on overcoming the force of gravity and loss of pressure to change the amount of movement. Moreover, in a number of well-known models, it is necessary to impose an assumption about the linear distribution of pressure, and the concept of average temperature, i.e. unchanged temperature along the line, is used. In order to eliminate the listed disadvantages, a gas characteristics distribution model containing a system of three integral equations corresponding to the laws of energy conservation, mass and the amount of gas flow movement are proposed. For the resulting model, a simple difference scheme of the joint solution of the specified system of equations was constructed. The results of a numerical verification confirming the adequacy of the proposed model are given. © 2021 IEEE.

关键词： Flow of gases

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Design and development of intelligent control strategies and algorithms for automated control of biotechnical objects under uncertainty

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Decision Analytics Journal 2024年 10卷

作者： Zaiets, Nataliia Lutska, Nataliia Lysenko, Vitaly Bolbot, Ihor Osadchiy, Serhii Department of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kiev 03041 Ukraine Department of Control Systems Technical University of Berlin Berlin 10587 Germany Department of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv 01033 Ukraine Department of Aircraft Designs Flight Academy of the National Aviation University Kropyvnytskyi 25005 Ukraine

Uncertainty of environmental conditions is typical for most biological and agricultural systems. This uncertainty has recently become a serious challenge because of global climate changes. Due to delayed response to unpredictable environmental changes, the functioning of these systems is not always optimal. Another source of uncertainty is the adaptive response of a biological system, which usually does not coincide with the chosen objective function. This study focuses on developing intelligent control strategies to improve the performance of biotechnical systems under uncertainty. We use cause–effect diagrams to analyze the effect of uncertainties on the key performance indicators (KPIs). Our concept of intelligent control is based on the statistical evaluation of environmental uncertainties, while the decision-making is based on game theory. This intelligent control concept is universal and could be applied to different classes of biotechnical systems, from small animal farms to large industrial plants. Sugar production is considered as one of the objects of research, which requires minimizing sugar losses in four main unit operations: diffusion, purification, evaporation and crystallization. Each unit operation was modeled with the artificial neural networks (ANN) trained on the laboratory datasets. Based on simulated or real inputs from the technological process, ANNs predict outputs in terms of quality, losses, and energy efficiency. In stationary mode, ANNs are used to predict optimal technological regimes. They are used to correct technological regimes to maximize the objective function in real time. The application of intelligent algorithms improved process performance and energy efficiency. © 2024 The Author(s)

关键词： Biotechnical objects Decision making Environmental uncertainties Game theory Intelligent control Reference architecture model industry

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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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Developing Digital Twin for Electromechanical System of Rolling Stand in Simulink Real Time

Developing Digital Twin for Electromechanical System of Roll...

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International Ural Conference on Measurements (UralCon)

作者： Andrey A. Radionov Alexandr S. Karandaev Boris M. Loginov Vadim R. Khramshin Department of Automation and Control Moscow Polytechnic University Moscow Russia Magnitogorsk Iron and Steel Works Magnitogorsk Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (数字)9798350386028

ISBN: (纸本)9798350386035

The development of digital twins (DTs) of industrial electrical systems is attributed to the need for the reduction of time and material resource inputs during their virtual commissioning (VC). The same problem occurs during renovation with complete or partial equipment replacement and/or control systems. These problems can be efficiently solved by developing object-oriented DTs based on the Simulink Real Time software and using hardware-in-the-loop simulation (HIL). This software is compatible with Matlab Simulink and the Simscape package, which makes it suitable for the industrial usage. The authors suggest a HIL-based approach that helps make a virtual real-time computer model, with process control signals coming from the industrial PLC that controls the real physical object. This problem occurred during the renovation of the horizontal stand electric drives of a 5000 plate mill. The authors provide the flow charts of the electromechanical system and the object-oriented DT. The implementation of DT in Matlab Simulink Desktop Real Time is reviewed in laboratory settings. The authors present the block structures that make up a virtual model of the electromechanical system. The developed DT was used to adjust control algorithms and controllers and study the dynamic modes over a rolling cycle. The adequacy of the processes was tested by comparing the oscillograms obtained with the developed DT and the rolling mill. The authors stress the feasibility of developing DTs on the Simulink Real Time platform using HIL simulation during VC and renovation of complex industrial objects.

关键词： Software packages Object oriented modeling Hardware-in-the-loop simulation Heuristic algorithms control systems Real-time systems Mathematical models Digital twins Electromechanical systems MATLAB

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Acoustic Positioning of Partial Discharges in High-Voltage Transformer Tank

Acoustic Positioning of Partial Discharges in High-Voltage T...

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International Ural Conference on Measurements (UralCon)

作者： Alexandr S. Karandaev Andrey B. Loginov Andrey A. Nikolaev Department of Automation and Control Moscow Polytechnic University Moscow Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia Magnitogorsk Iron and Steel Works Magnitogorsk Russia

ISBN: (数字)9798350386028

ISBN: (纸本)9798350386035

This report reviews an example of acoustic positioning of partial discharges (PD) in the tank of a high-voltage oil-filled transformer. The literature review confirms the importance of PD monitoring and justifies the feasibility of positioning discharge activity centers. The precise positioning of PD sources is required to determine the location of insulation defects. The authors provide brief information on the development of PD positioning methods and note that their practical application has been insufficiently covered in publications. They present the results of electromagnetic and acoustic PD positioning in a 110 kV transformer. Some details are provided on the devices and measurement methods used, including the localization of areas with increased PD intensity using one acoustic sensor and the subsequent center localization through the installation of 4 sensors at even intervals. The authors provide PD signals and defect impulses received from each of the sensors and demonstrate the difference in the registration time of these signals. They explain the principle behind PD center positioning, which is determined considering delays in signal reception. The authors demonstrate the usage of the Inva (Portable) software for the processing and visualization of acoustic positioning results. They note that changes in the propagation rate of acoustic waves in a heterogeneous medium result in the reduced accuracy of results. The authors also outline the prospects of the research into the elimination of occurring defects.

关键词： Partial discharges Location awareness Visualization Reviews High-voltage techniques Oil insulation Fault location Software Monitoring Power transformer insulation

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Water Indicator Measurement and Data Processing From Internet of Things Modules

Water Indicator Measurement and Data Processing From Interne...

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IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)

作者： Yeldos A. Altay Lashin Bazarbay Raisa K. Uskenbayeva Alexey V. Fedorov Zhuldyz B. Kalpeyeva Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Vice-Rector Satbayev University Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation Institute of Automation and Information Technologies Satbayev University Almaty Kazakhstan

ISBN: (数字)9798350388879

ISBN: (纸本)9798350388886

This article presents the results of the implementation of a measuring system based on an IoT module for remote transmission of aggregate measurement data obtained during analytical monitoring of five water parameters via a wireless communication channel. A model of an experimental setup is presented and discussed, demonstrating the operability and consistency of the model for monitoring physical parameters during aggregate measurements. The obtained results of remote data transmission via a wireless communication channel revealed a statistically significant correlation between spring water parameters and the most influential predictor of acidity, conductivity, turbidity and oxidation-reduction potential is water temperature. The discovered relationship between the measured parameters is mainly associated with the effect of temperature on the processes occurring with an increase and decrease in the temperature of the analyzed water samples.

关键词： Temperature measurement Wireless communication Correlation coefficient Temperature distribution Correlation Turbidity Conductivity Internet of Things Springs Monitoring

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