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control valve simulation method integrable into the global gradient algorithm

ISH Journal of Hydraulic Engineering 2025年第1期31卷 1-7页

作者： Sivakumar, P. Gorev, N.B. Gorev, V.N. Kodzhespirova, I.F. Shedlovsky, I.A. Itanagar India Department for Functional Elements of Control Systems Institute of Technical Mechanics Dnipro Ukraine Department of Physics Dnipro University of Technology Dnipro Ukraine Department of Automation and Computer Systems Dnipro University of Technology Dnipro Ukraine

This paper presents a refinement of a method that simulates flow- and pressure-regulating valves by replacing them with pipes and adjusting the resistances (diameters) of those pipes to meet the valve settings. The method, referred to as the replacing pipe method (RPM), is readily integrable into the global gradient algorithm, which is the heart of the commonly used EPANET 2 water distribution system modeling software. The RPM proved to be more robust, yet slower than the EPANET 2 valve handling heuristics. In this work, the RPM was modified to increase its computational speed. The modification involved the RPM check valve handling algorithm and condition for updating the diameters of the valve-replacing pipes. The modified RPM was tested as part of a hybrid simulator, which switches from the EPANET 2 valve handling heuristics to the RPM when the former fails. The test networks included a large network with thousands of nodes, pipes, and valves, and a case of an ill-posed problem. As the testing showed, the modified RPM offers a significant reduction in the number of iterations compared to its previous version. © 2024 Indian Society for Hydraulics.

关键词： Safety valves

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Prioritization of indicators in the scheduling of examinations for full-time students in higher education

Prioritization of indicators in the scheduling of examinatio...

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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Fatme Rashidova Aldeniz Rashidov Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Identified the main indicators affecting the scheduling of examinations in a higher education institution. The assessment of priorities related to the indicators and their weighting coefficients was conducted using rank correlation and subjective statistical methods, based on the opinions of regular students. Consistency of opinions was assessed using Kendall's coefficient and statistical significance was tested using θ 2 -criteria. The results will be used to create a web-based system for generating an optimal examination timetable for regular students at a higher education institution.

关键词： Surveys Measurement Human computer interaction Schedules Correlation Statistical analysis Educational robots Education MCDM Optimization

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Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System

arXiv

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arXiv 2025年

作者： Soylu, Aydoğan Kumbasar, Tufan Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey AI and Intelligent Systems Laboratory Istanbul Technical University Istanbul Turkey

Accurate modeling of aerodynamic coefficients is crucial for understanding and optimizing the performance of modern aircraft systems. This paper presents the novel deployment of an Evolving Type-2 Quantum Fuzzy Neural Network (eT2QFNN) for modeling the aerodynamic coefficients of the ATTAS aircraft to express the aerodynamic characteristics. eT2QFNN can represent the nonlinear aircraft model by creating multiple linear submodels with its rule-based structure through an incremental learning strategy rather than a traditional batch learning approach. Moreover, it enhances robustness to uncertainties and data noise through its quantum membership functions, as well as its automatic rule-learning and parameter-tuning capabilities. During the estimation of the aerodynamic coefficients via the flight data of the ATTAS, two different studies are conducted in the training phase: one with a large amount of data and the other with a limited amount of data. The results show that the modeling performance of the eT2QFNN is superior in comparison to baseline counterparts. Furthermore, eT2QFNN estimated the aerodynamic model with fewer rules compared to Type-1 fuzzy counterparts. In addition, by applying the Delta method to the proposed approach, the stability and control derivatives of the aircraft are analyzed. The results prove the superiority of the proposed eT2QFNN in representing aerodynamic coefficients. © 2025, CC BY-NC-SA.

关键词： Fuzzy rules

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Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System

Capturing Aerodynamic Characteristics of ATTAS Aircraft with...

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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Aydoğan Soylu Tufan Kumbasar Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey AI and Intelligent Systems Laboratory Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

关键词： Training Uncertainty Atmospheric modeling Aerodynamics Fuzzy neural networks Stability analysis Robustness Aircraft Robots Optimization

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Cascade LTI System for Acoustic Emission Digital Signal Processing: Result Visualization via Scalogram for Defect Pattern Representation

Cascade LTI System for Acoustic Emission Digital Signal Proc...

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Digital Signal Processing and its Applications (DSPA), International Conference on

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

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

Modern acoustic emission (AE) diagnostic systems are sensitive instruments for detecting developing defects. A significant limitation of the AE method is the difficulty of isolating signals against the background of interference, which significantly reduces the signal-to-interference ratio. Therefore, in this article a cascade filtering scheme for visualizing acoustic signatures through a scalogram is proposed to isolate AE signals that characterize the process of defect formation. Acoustic portraits of the isolated signals characterizing the process of defect formation are given. It is shown that the amplitude of the AE signal from a defective structure during crack formation is characterized by the highest values of the signal amplitude and has a rich frequency-time structure, the signal shape of which is determined by discrete AE.

关键词： Linear systems Visualization Time-frequency analysis Filtering Shape Instruments Interference Digital signal processing Acoustic emission Signal to noise ratio

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Real-Time Identification and Self-Tuning PID controller for 1-DOF Helicopter System

Real-Time Identification and Self-Tuning PID Controller for ...

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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Enes Erdoğan Aydoğan Soylu Şahin Serhat Şeker Barış Başpınar Tufan Kumbasar Aeronautical Engineering Department Istanbul Technical University Istanbul Turkey Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey Electrical Engineering Department Istanbul Technical University Istanbul Turkey AI and Intelligent Systems Laboratory Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Obtaining an accurate mathematical model is critical in control design applications. Therefore, the parameter uncertainties that occur during modeling or operation should be identified, and the controller design should be made to compensate for these uncertainties. In this paper, a system identification study was performed with a global-based Big Bang-Big Crunch optimization algorithm using input and output data from the one degree of freedom helicopter system. System dynamics are determined using this optimization algorithm over the flowing data, and the transfer function that best represents the system's behavior is obtained. A discrete time Proportional Integral Derivative (PID) controller is designed to minimize the overshoot and steady-state error of the system response with the same optimization algorithm. This process was used to automatically detect parametric uncertainties as long as the system receives input-output data, and to create a tuned PID controller structure. In order to demonstrate the superiority of the proposed methodology, initial PID is designed for the real-time system, and the performance of this PID and the tuned PID controller is compared under the parameter uncertainty. As a result, it is ensured that the tuned PID structure has the desired transient response dynamics of the system under parameter uncertainty compared to the initial PID structure.

关键词： Uncertain systems Transient response Uncertainty Heuristic algorithms Helicopters Transfer functions Real-time systems Mathematical models System identification Optimization

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Expanding conformal prediction to system identification

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Pattern Recognition 2025年 167卷

作者： Msaddi, Saleh Kumbasar, Tufan Artificial Intelligence and Intelligent Systems Laboratory Istanbul Technical University Istanbul34469 Turkey Control and Automation Engineering Department Istanbul Technical University Istanbul34469 Turkey

System Identification (SysID) is a cornerstone of control engineering, aimed at modeling system dynamics from input–output data. However, SysID approaches often overlook uncertainty quantification (UQ), which is crucial for robust decision-making. To address this gap, we propose Conformal System Identification (C-SysID), a model-agnostic framework for UQ in single-output and multiple-output SysID tasks. C-SysID transforms point predictions of any SysID model into High-Quality (HQ) Prediction Intervals (PIs) for single-output systems or Prediction Regions (PRs) for multiple-output systems, ensuring the true output is captured within the specified confidence level. For single-output systems, we use the Updated Residuals (UR) and Weighted Updated Residuals (WUR) methods to generate valid HQ PIs. In the case of multiple-output systems, we apply the Copula method and introduce the Updated Copula (UC) method, which captures output dependencies to generate HQ PRs. We empirically validate C-SysID on diverse single-output and multiple-output SysID datasets. The statistically significant comparative results show that the WUR method outperforms baseline methods, delivering tight PIs with the desired coverage. For multiple-output systems, our proposed UC method generates PRs that achieve accurate joint coverage while maintaining the compactness of PRs. The results highlight the effectiveness of C-SysID in UQ and enhancing uncertainty-aware predictions for SysID applications. © 2025 Elsevier Ltd

关键词： Parameter estimation

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Machine Learning in Predicting the Impact of Filter Parameters on the Accuracy of Biosignal Measurement

Machine Learning in Predicting the Impact of Filter Paramete...

引用

Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Yeldos A. Altay Raisa K. Uskenbayeva Abu-Alim E. Ayazbay Alexey V. Fedorov Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Institute of Automation and Information Technologies Vice-Rector Satbayev University Almaty Kazakhstan Electronic engineering Almaty University of Power Engineering and Telecomunications Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

In this scientific article under consideration, a machine learning model has been developed that allows predicting the impact of filter parameters on the accuracy of measuring a biosignal - an ECG (electrocardiography) signal. For the first time, quantitative results have shown the degree of influence and the error introduced into the measured biosignal and described through dependence. The results of assessing the obtained relationship of indicators demonstrate an inverse correlation relationship that characterizes a decrease in the accuracy of measurement at the output of a high-order digital filtering system. The machine learning model is based on the linear regression method the dependence of which is approximated by the method based on least squares and visualized using a scattergram. The adequacy of the developed machine learning model was confirmed by calculating the coefficient of determination and checking its statistical significance. The developed model can be used to create new or improve existing biomedical data processing systems to increase the reliability of the results.

关键词： Accuracy Shape Filtering Biological system modeling Machine learning Biomedical measurement Electrocardiography Distortion Distortion measurement Digital filters

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Kinematic model and analysis of an anthropomorphic robotic finger

Kinematic model and analysis of an anthropomorphic robotic f...

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2021 International Conference Automatics and Informatics, ICAI 2021

作者： Mihalev, Georgi Yordanov, Stanimir Information and Control Systems Technical University of Gabrovo Department of Automation Gabrovo Bulgaria Information and Control Systems Technical University of Gabrovo Department of Automation Gabrovo Bulgaria

ISBN: (纸本)9781665426619

The article represents developed anthropomorphic robotic finger and its ability to perform complex manipulations as a part of a robotic arm. The advantages and disadvantages of this type of manipulators are defined. Using a hybrid approach, a kinematic model of the system is derived. The main functional dependences of the forward and inverse kinematic model are derived. The analysis is made on the basis of differential kinematics and the workspace of the manipulator. The developed system has been tested while performing various tasks and graphical results for some of them are presented, proving the peculiarities of the control of this type of robotic systems. © 2021 IEEE.

关键词： Manipulators

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Structural vibration attenuation using a fractional order PD controller designed for a fractional order process

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IFAC-PapersOnLine 2018年第4期51卷 533-538页

作者： Birs, Isabela R. Muresan, Cristina I. Prodan, Ovidiu Folea, Silviu C. Ionescu, Clara Automation Department Technical University of Cluj-Napoca Cluj-Napoca Romania Dynamical Systems and Control Group Ghent University Belgium

Structural vibration is a highly studied topic, especially in civil structures. Unwanted earth vibrations during seismic activity endanger life and often destroy buildings. In this paper, a Fractional Order Proportional Derivative controller is designed with the purpose of vibration mitigation in a three-story building. The experimental setup consists of a third floor building equipped with an active pendulum attached to the last floor. The controller is designed for the fractional order mathematical approximation of the structure by imposing frequency domain constraints such as gain crossover frequency, phase margin and robustness to gain variations. The validity of the controller is analyzed considering the simulated behavior of the compensated building to the El Centro earthquake and experimental disturbance rejection performance. © 2018

关键词： controllers Calculations control engineering Disturbance rejection Earthquakes Floors Frequency domain analysis Structural dynamics Vibration control Active tuned mass damper Cross over frequencies Disturbance rejection performance Fractional calculus Proportional derivative controllers Structural vibrations Vibration mitigation Vibration suppression

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