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检索条件"任意字段=IEEE Conference on Automation Science and Engineering"

共 60721 条记录，以下是251-260 订阅

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Design and Comparison of Two Nonlinear Tracking Algorithms for Quasilinear Systems with Unmatched Perturbations 10

Design and Comparison of Two Nonlinear Tracking Algorithms f...

引用

10th International conference on automation, Robotics, and Applications, ICARA 2024

作者： Dritsas, Leonidas ASPETE Electrical & Electronic Engineering Educators Department Athens Greece

ISBN: (纸本)9798350394245

This article is concerned with the design of two sliding mode controllers for the robust tracking control of a class of uncertain systems with linear nominal part and perturbations (disturbances, uncertainties and nonlinear loads) which can be both matched and unmatched. The proposed three-term feedback control architecture consists of a linear state feedback term, a feedforward term and a nonlinear term. A 'Reference Model' approach is employed for the design of the three-term tracking controller. For its nonlinear part two separate variants are investigated: the conventional Sliding Mode (cSMC) and the integral Sliding Mode (iSMC). A systematic derivation of the two Sliding Mode controllers is presented along with the design of the nonlinear gains. The numerical examples demonstrate and compare the proposed methodologies on a single input nominally unstable plant. © 2024 ieee.

关键词： State feedback

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A Residential Home Energy Management System using Hybrid Particle Swarm-Grey Wolf Optimization 10

A Residential Home Energy Management System using Hybrid Par...

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10th International conference on automation, Robotics, and Applications, ICARA 2024

作者： Juyal, Vikas Deep Kakran, Sandeep National Institute of Technology Electrical Engineering Department Kurukshetra India

ISBN: (纸本)9798350394245

With the evolution of technology since the last decade, smart appliances are now the trend in most developed countries and soon will be a part of a typical user all over the world. The phenomenon of the smart grid allows controlling the time of operation of the appliances through two-way communication with the utility by employing a demand response program with the help of an energy management centre. In this paper, a hybrid of particle swarm optimization and grey wolf optimization technique is proposed and implemented for scheduling home appliances to minimize the electricity consumption bill. Real-time pricing (RTP) and inclined block rate RTP demand response programs have also been implemented to limit the peak-to-average ratio (PAR). Several cases have been compared with different conditions and found that the proposed strategy gives improved results in terms of electricity cost as well as PAR value. © 2024 ieee.

关键词： Domestic appliances

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Study on Serial Type Pump-Valve Compound Control Strategy 7

Study on Serial Type Pump-Valve Compound Control Strategy

引用

7th ieee Advanced Information Technology, Electronic and automation Control conference, IAEAC 2024

作者： Liu, Jian Wang, Zuoxun Zhang, Xiaochi Sun, Huilai School of Information and Automation Engineering Jinan China Shandong Technology and Business University School of Information and Electronic Engineering Yantai China School of Mechanical Engineering Jinan China

ISBN: (纸本)9798350339161

In response to the contradiction between the control accuracy and system efficiency in traditional electro-hydraulic servo systems, this paper proposes a series-connected pump-valve composite control system and investigates the corresponding control strategies. In terms of system positioning control, a positioning error-based switch control strategy is introduced. At the beginning of positioning, the pump control section dominates to reduce system energy consumption. When the positioning error decreases to the set value, it switches to the pump-valve coordinated control state to achieve precise positioning. For dynamic tracking control, a composite control strategy is proposed, where in the pump control section adopts feedforward compensation PI control, and the valve control section adopts PID control. Simulation results indicate that, in terms of positioning control, the switch control strategy based on positioning error can significantly improve the system response speed. In dynamic tracking control, the composite control strategy combining feedforward compensation PI control and PID control enables the system to possess the advantages of high system efficiency and high precision fast response. © 2024 ieee.

关键词： Simulink

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Advanced Forecasting and Analysis Techniques for Optimizing Website Performance: A Comparative Study of Time Series Models 2

Advanced Forecasting and Analysis Techniques for Optimizing ...

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2nd ieee International conference on IoT, Communication and automation Technology, ICICAT 2024

作者： Raikar, Gayathri Harshith, D. Guruprasad, N. Global Academy of Technology Dept. of Computer Science and Engineering Bangalore India Buddha Institute of Technology Computer Science and Engineering Gorakhpur India

ISBN: (纸本)9798350368109

Analyzing website performance is crucial for optimizing a site's functionality, enhancing user engagement, and aligning with business goals. This evaluation focuses on essential metrics such as average engagement time per session, engagement rate, and events per session, which significantly impact user experience and overall business success. Through effective performance analysis, organizations can improve user satisfaction, boost conversion rates, and enhance their profitability and reputation. This paper reviews different approaches for analyzing these key metrics, explores their effects on user behavior and business performance, and offers best practices for optimizing website performance. By employing detailed performance analysis, businesses can make informed decisions and realize their strategic goals in the digital environment. © 2024 ieee.

关键词： Channel Performance Data Analysis Time Series Forecasting User Engagement Website Performance

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Brain Tumor Diagnosis Using a Hybrid Method of BoVW, LBP, and Neural Networks 3

Brain Tumor Diagnosis Using a Hybrid Method of BoVW, LBP, an...

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3rd ieee International conference on Robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hasan, Nowshad Islam, Md Saiful Sharif, Md. Maskat Chowdhury, Arafat Anam Rahman, Miskatur Khan, Md Tohedur Rahaman Khan, Md Rokibul Fahad Bahar, Anamul Chittagong University of Engineering and Technology Department of Electronics and Telecommunication Engineering Chittagong Bangladesh North South University Department of Computer Science Enginnering Dhaka Bangladesh International Islamic University Chittagong Department of Computer Science Enginnering Chittagong Bangladesh International Islamic University Chittagong Department of Electronics and Telecommunication Engineering Chittagong Bangladesh University of London Department of Computer Science Enginnering London United Kingdom

ISBN: (纸本)9798331534400

Brain tumor is one of the most deadly diseases today. Early identification is the key in treatment and automated method of image classification can help in this process. But, there are significant obstacles in precisely identifying brain tumors and increasing the classification accuracy for different types of tumors. In order to address the problem, the work suggests a hybrid model for effectively detecting and classifying brain tumors. First, the obtained pictures are preprocessed with resizing, application of sharpening filter and final stage of contrast enhancement. Further preprocessing in carried out using the K-mean clustering algorithm Next, Feature extraction is done by using the BoVW together with LBP which deal with the overall and region-specific texture features respectively. Following that, the seven statistical features are extracted, and then they are utilized as input to the artificial neural network classifier in order to obtain the classification of the glioma, meningioma, and pituitary tumor. The training function 'Levenberg-Marquardt' is also used in this work. This method provides 99.0 % of accuracy on Dataset I and 99.2% accuracy on Dataset II. Moreover, in relation to other modern methods, the selected seven statistical features employed in this study are relatively limited in demonstrating this performance. © 2024 ieee.

关键词： K-means clustering

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Historical Aerospace Software Errors Categorized to Influence Fault Tolerance

Historical Aerospace Software Errors Categorized to Influenc...

引用

ieee Aerospace conference

作者： Prokop, Lorraine E. NASA Langley Res Ctr 1 Nasa Dr Hampton VA 23666 USA

ISBN: (纸本)9798350304626

Since the first use of computers in space and aircraft, software errors have occurred. These errors can manifest as loss-of-life or less catastrophically. As the demand for automation increases, software in mission or safety-critical systems should be designed to be tolerant to the most likely software faults. This paper categorizes a set of 56 historic aerospace software error incidents from 1962 to 2023 to determine trends of how and where automation is most likely to fail or behave unexpectedly. A distinction between software producing unexpected (erroneous) output versus no output (fail-silent) is introduced. Of the historical incidents analyzed, 86% were from software producing wrong output rather than simply stopping. Rebooting was found to be ineffective to clear erroneous behavior, and not reliable to recover from silent failures. Error origin was within the code/logic itself in 59% of cases, 16% from configurable data, 14% from unexpected sensor input, and 11% from command/operator input. A substantial forty percent (41%) of unexpected software behavior was indicated by the absence of code, arising from unanticipated situations and missing requirements, and 18% of incidents were subjectively deemed "unknown-unknowns". No incidents were found to be the result of programming language, compiler, tool, or operating system;and only eighteen percent (18%) of all incidents were considered traditional computer science/programming-related in nature. These findings indicate that for fault tolerance, erroneous automation behavior must be a primary consideration especially at critical moments, and reboot recoverability may not be viable. Based on this data, we recommend some best practices for pre-flight software error prevention and in-flight error mitigation. Care should be taken to validate configurable data and commands prior to use. "Test-like-you-fly", including hardware-in-the-loop combined with robust off-nominal testing should be used to uncover missing logic

关键词： automation

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Common Mode Voltage Suppression Strategy for Third-Harmonic Injection Two-Stage Matrix Converter

Common Mode Voltage Suppression Strategy for Third-Harmonic ...

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2024 ieee International conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification conference, ESARS-ITEC 2024

作者： Shi, Yaotian Zhou, Bo Chang, Qingyun Lu, Chengjia Wang, Huizhen Meng, Xiaoli College of Automation Engineering Nanjing University of Aeronautics and Astronautics Department of Electrical Engineering Nanjing China School of Electrical & Automation Engineering Nanjing Normal University Nanjing China

ISBN: (纸本)9798350373905

In response to the problem of high amplitude common mode voltage (CMV) in the third harmonic injection two-stage matrix converter (3TSMC), the CMV suppression methods of active zero state PWM (AZSPWM) and near-state PWM (NSPWM) are applied to 3TSMC, which reduced the voltage amplitude of the CMV without increasing hardware. Firstly, the expression for the CMV of 3TSMC is derived, and then the suppression principle of the improved modulation algorithm is analyzed. Then, the influence of dead zone effect on the method is considered and the dead zone is compensated. Finally, the effectiveness of the proposed method is verified through experiments. © 2024 ieee.

关键词： Pulse width modulation

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Particle swarm optimization-based method of source seeking by small robotic groups in the presence of noises and communication constraints 9

Particle swarm optimization-based method of source seeking b...

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9th International conference on Robotics and automation engineering, ICRAE 2024

作者： Makarov, Nikolai Matveev, Alexey Gusev, Sergei Sirius University Mathematical Robotics Science Division Sirius Federal Territory Russia

ISBN: (纸本)9798331518301

The paper deals with the problem of cooperatively finding a source of an unknown environmental field by a relatively small group of robots whose communication range is finite. To solve this problem, a distributed control law is proposed, which is based on the ideas of the particle swarm optimization techniques. To disclose the impacts of the number of agents, their communication radii, and the noise level on the performance of the algorithm, intensive Monte Carlo simulation studies are performed, with a particular attention to relatively small groups. Comparative analysis of two opposite strategies of the robots' initial placement on the perimeter of the zone of search is also performed. The first of them comes to disembarkment of the robots in a tight cluster at the start of the mission, the second one consists in their uniform distribution over the perimeter. © 2024 ieee.

关键词： Particle swarm optimization (PSO)

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A Novel Data-Driven Hybrid Adaptive Control 13

A Novel Data-Driven Hybrid Adaptive Control

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13th ieee Data Driven Control and Learning Systems conference, DDCLS 2024

作者： Hao, Jun Zhang, Guoshan Zhang, Mengxuan Wang, Yu College of Automation Jiangsu University of Science and Technology Jiangsu212100 China School of Electrical and Information Engineering Tianjin University Tianjin300072 China

ISBN: (纸本)9798350361674

As complementary methods to classical model-based control, data-driven control methods can avoid modeling the dynamics of complex systems but achieve good control performance, hence, data-driven control methods are gradually becoming an important and hot topic in control science and engineering. However, some issues in data-driven control methods still need to be further addressed such as physical interpretability, excessive hyperparameters, control parameter valid initialization, etc. In this paper, a novel algorithm namely data-driven hybrid adaptive control (DHAC) is proposed, which fully integrates parameter tuning theory and artificial neural network theory. Specifically, DHAC algorithm as a model-free method has the advantages of classical control methods and adaptive neural networks methods, while eliminating the drawbacks of both two types of methods. Hence, DHAC algorithm has the potential to provide new method to solve the issues of control parameters valid initializations, physical interpretability, excessive hyperparameters in the area of model free control. © 2024 ieee.

关键词： Adaptive control systems

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A Refuge System Development for Underground Mines through IIOT 2

A Refuge System Development for Underground Mines through II...

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2nd ieee International conference on IoT, Communication and automation Technology, ICICAT 2024

作者： Srinath Yadav, K. Vignesh, M. Sivaguru, S. Ranjeeth Kumar, G. Santhosh, P. VSB Engineering College Computer Science and Engineering India

ISBN: (纸本)9798350368109

Underground mines can use the Internet of Things to monitor the environment, safety, and productivity by installing sensors that detect temperature, moisture content, and gas levels in real time. These sensors collect data continually and relay it to a central monitoring system. By examining this data to discover any anomalous conditions such as high temperatures, excess moisture, or harmful gas concentrations, mine managers can take immediate corrective action to preserve worker safety, prevent environmental damage, and enhance production efficiency. Our real-time abstract monitoring system provides essential insights into underground mining operations, helping to decrease hazards and enhance operational effectiveness. © 2024 ieee.

关键词： Mine safety

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