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Modelling, control Methods and Applications of Chaotic Oscillators

Discrete Dynamics in Nature and Society 2023年第1期2023卷

作者： Vaidyanathan, Sundarapandian Sambas, Aceng Lien, Chang-Hua Mamat, Mustafa Centre for Control Systems Vel Tech University 400 Feet Outer Ring Road Chennai 600062 India Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Gong Badak 21300 Terengganu Malaysia Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Jawa Barat 46196 Indonesia Department of Marine Engineering National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan

Some typical oscillations relate to nonlinear pendulums, population models, business cycles, and jerk systems [5]. Since the discovery of chaotic oscillations in a nonlinear weather model by Lorenz in 1963, chaotic oscillators, their modelling, and control have received much attention in the literature [1]. [...]the MATLAB simulation results of the buck converter with memristive load are shown to be in good agreement with the analog results obtained with PSIM. [...]the authors describe simulation results for an example of a remotely operated vehicle (ROV) with three degrees of freedom to demonstrate the efficacy of the suggested control approach in their research article. A unique feature of the proposed model is that the designed Chen chaotic oscillation system is integrated in a single chip with the advantages of smaller chip area, lower supply voltage, and power consumption.

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Remote Sensing Temporal Vision-Language Models: A Comprehensive Survey

arXiv

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arXiv 2024年

作者： Liu, Chenyang Zhang, Jiafan Chen, Keyan Wang, Man Zou, Zhengxia Shi, Zhenwei The Image Processing Center School of Astronautics The Beijing Key Laboratory of Digital Media The State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China The Shanghai Artificial Intelligence Laboratory Shanghai200232 China Shen Yuan Honors College of Beihang University Beijing100191 China The Department of Guidance Navigation and Control School of Astronautics Beihang University Beijing100191 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China

Temporal image analysis in remote sensing has traditionally centered on change detection, which identifies regions of change between images captured at different times. However, change detection remains limited by its focus on visual-level interpretation, often lacking contextual or descriptive information. The rise of Vision-Language Models (VLMs) has introduced a new dimension to remote sensing temporal image analysis by integrating visual information with natural language, creating an avenue for advanced interpretation of temporal image changes. Remote Sensing Temporal VLMs (RSTVLMs) allow for dynamic interactions, generating descriptive captions, answering questions, and providing a richer semantic understanding of temporal images. This temporal vision-language capability is particularly valuable for complex remote sensing applications, where higher-level insights are crucial. This paper comprehensively reviews the progress of RSTVLM research, with a focus on the latest VLM applications for temporal image analysis. We categorize and discuss core methodologies, datasets, and metrics, highlight recent advances in temporal vision-language tasks, and outline key challenges and future directions for research in this emerging field. This survey fills a critical gap in the literature by providing an integrated overview of RSTVLM, offering a foundation for further advancements in remote sensing temporal image understanding. We will keep tracing related works at https://***/Chen-Yang-Liu/Awesome-RS-Temporal-VLM. Copyright © 2024, The Authors. All rights reserved.

关键词： Visual languages

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Cyber-Physical Production systems for Data-Driven,Decentralized,and Secure Manufacturing-A Perspective

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Engineering 2021年第9期7卷 1212-1223页

作者： Manu Suvarna Ken Shaun Yap Wentao Yang Jun Li Yen Ting Ng Xiaonan Wang Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore 117585Singapore Singapore Institute of Manufacturing Technology Singapore 138634Singapore School of Economics and Management Tsinghua UniversityBeijing 100084China Zhigui Internet Technology Beijing 100080China China Industrial Control Systems Cyber Emergency Response Team Beijing 100040China Department of Chemical Engineering Tsinghua UniversityBeijing 100084China

With the concepts of Industry 4.0 and smart manufacturing gaining popularity,there is a growing notion that conventional manufacturing will witness a transition toward a new paradigm,targeting innovation,automation,better response to customer needs,and intelligent *** this context,this review focuses on the concept of cyber–physical production system(CPPS)and presents a holistic perspective on the role of the CPPS in three key and essential drivers of this transformation:data-driven manufacturing,decentralized manufacturing,and integrated blockchains for data *** paper aims to connect these three aspects of smart manufacturing and proposes that through the application of data-driven modeling,CPPS will aid in transforming manufacturing to become more intuitive and *** turn,automated manufacturing will pave the way for the decentralization of *** blockchain technologies on top of CPPS will ensure the reliability and security of data sharing and integration across decentralized *** of these claims is supported by relevant case studies recently published in the literature and from the industry;a brief on existing challenges and the way forward is also provided.

关键词： Smart manufacturing Cyber-physical production systems Industrial Internet of Things Data analytics Decentralized system Blockchain

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control design of an electromechanical gearbox actuator

Control design of an electromechanical gearbox actuator

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IEEE International Conference on Intelligent Engineering systems (INES)

作者： Balint Juhasz Adam Szabo Tamas Becsi Szilard Aradi Department of Control for Transportation and Vehicle Systems Budapest Univ. of Technology and Economics Budapest Hungary

ISBN: (数字)9781728110592

ISBN: (纸本)9781728110608

This paper deals with the control design of an electromechanical shift actuator. First, to provide an environment where the controllers can be tuned and compared, a nonlinear model has been developed, then a linear state-space representation of the system has been derived. Besides tracking of a reference signal with high accuracy, the control design must consider the limitations of a typical, commercial actuator control unit, in particular real-time applicability. To achieve the controlling aims, a symmetric, optimum based, cascaded PID, a Linear Quadratic Regulator, a Linear Quadratic Gaussian controller, and a Model Predictive controller have been developed. Three of the four developed methods can meet the given requirements. However, there are significant differences regarding the run-time of the algorithms.

关键词： Actuators DC motors Force Economics Torque control design Transportation

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In-depth evaluation of APACHE scoring system using eICU database

In-depth evaluation of APACHE scoring system using eICU data...

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2020 International Conference on Information systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020

作者： Rajabalizadeh, Atefeh Wang, Shaodong Javadi, Mahdi Safaei, Nima Talafidaryani, Mojtaba Li, Qing Zhang, Wenli Moqri, Mahdi Department of Industrial and Manufacturing Systems Engineering Iowa State University AmesIA United States Department of Control Systems Kaiserslautern University of Technology Kaiserslautern Germany Department of Business Analytics University of Iowa Iowa CityIA United States Department of Business Management University of Tehran Tehran Iran Department of Information Systems and Business Analytics Iowa State University AmesIA United States

ISBN: (纸本)9781733632553

Due to the importance of intensive care units (ICUs) in hospitals, many researchers have developed new predictive models to assess the patients' illness severity and estimate their mortality in ICUs. In this study, we assess the predictive power of the Acute Physiology and Chronic Health Evaluation IV (APACHE IV) used in the eICU database. Based on the performed explanatory analysis, we found that APACHE IV is not predictive for all diseases. Receiver operating characteristic (ROC) curve analysis showed that, in some diseases, the AUC is as low as 0.75. Moreover, by showing the insufficiency of 0.5 as a threshold, we estimated an optimal threshold for predicted mortality for each disease. Based on the new threshold, the accuracy of APACHE IV was low (approximately 0.7). We further examined the role of APACHE score in predicting the length of stay and ventilation days by calculating the Pearson correlation coefficients (PCCs). © ICIS 2020. All rights reserved.

关键词： Intensive care units

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A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games

arXiv

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arXiv 2022年

作者： Wang, Zifan Shen, Yi Bell, Zachary I. Nivison, Scott Zavlanos, Michael M. Johansson, Karl H. Division of Decision and Control Systems School of Electrical Enginnering and Computer Science KTH Royal Institute of Technology StockholmSE-10044 Sweden The Department of Mechanical Engineering and Materials Science Duke University DurhamNC United States The Air Force Research Laboratory Eglin AFB FL United States

We consider risk-averse learning in repeated unknown games where the goal of the agents is to minimize their individual risk of incurring significantly high cost. Specifically, the agents use the conditional value at risk (CVaR) as a risk measure and rely on bandit feedback in the form of the cost values of the selected actions at every episode to estimate their CVaR values and update their actions. A major challenge in using bandit feedback to estimate CVaR is that the agents can only access their own cost values, which, however, depend on the actions of all agents. To address this challenge, we propose a new risk-averse learning algorithm with momentum that utilizes the full historical information on the cost values. We show that this algorithm achieves sub-linear regret and matches the best known algorithms in the literature. We provide numerical experiments for a Cournot game that show that our method outperforms existing methods. © 2022, CC BY.

关键词： Learning algorithms

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Multi-Objective Scheduling of Single Mobile Robot Based on Grey Wolf Optimization Algorithm

SSRN

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SSRN 2022年

作者： Petrović, Milica Jokić, Aleksandar Miljković, Zoran Kulesza, Zbigniew University of Belgrade Faculty of Mechanical Engineering Department of Production Engineering Laboratory for Industrial Robotics and Artificial Intelligence Kraljice Marije 16 35 Belgrade11120 Serbia University of Belgrade Faculty of Mechanical Engineering Department of Production Engineering Kraljice Marije 16 35 Belgrade11120 Serbia Bialystok University of Technology Faculty of Electrical Engineering Department of Automatic Control and Robotics Wiejska 45D Bialystok15-351 Poland

During the last decades, intelligent mobile robots have been recognized as one of the most promising and emerging solutions used to fulfill material transport demands in intelligent manufacturing systems. One of the most significant characteristics of those demands is their multi-objectivity, where identified objectives might usually be in conflict. Therefore, obtaining the optimally scheduled robotic-based material transport system that is simultaneously faced with several conflicting objectives is a highly challenging task. In order to address such a challenge, this paper proposes a novel multi-objective Grey Wolf Optimizer (MOGWO) methodology to efficiently schedule material transport systems based on an intelligent single mobile robot. The proposed optimization methodology includes the comprehensive analysis and the mathematical formulation for 13 novel fitness functions, which are combined to form a Pareto front of the multi-objective optimization problem, as well as a novel strategy for optimal exploration of multi-objective search space. Moreover, four metrics, i.e., Generational Distance (GD), Inverted Generational Distance (IGD), Spacing (SP), and Maximum Spread (MS), are employed to quantitively evaluate and compare the effectiveness of the proposed enhanced MOGWO algorithm with two state-of-the-art metaheuristic methods (MOGA, MOAOA) on 25 benchmark problems. The obtained results achieved through two experimental scenarios indicate that the enhanced MOGWO algorithm outperforms other algorithms in terms of convergence, coverage, and robust optimal Pareto solution obtained. Finally, transportation paths based on obtained scheduling plans are experimentally validated by mobile robot RAICO (Robot with Artificial Intelligence based Cognition) within a physical model of the intelligent manufacturing environment. The achieved experimental results successfully demonstrate the efficiency of the proposed methodology for optimal multi-objective scheduling of materia

关键词： Mobile robots

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About Approach to Solution of Problem of Protection Against Earth Faults in 6-10 kV Cable Networks with Different Neutral Grounding Modes 2

About Approach to Solution of Problem of Protection Against ...

引用

2nd International Youth Scientific and Technical Conference on Relay Protection and Automation, RPA 2019

作者： Shuin, V.A. Dobryagina, O.A. Shadrikova, T.Yu. Ivanovo State Power University Named after V.I. Lenin Department of Electric Power Systems Automatic Control Ivanovo Russia

ISBN: (纸本)9781728163819

About half of the electricity generated in Russia is distributed through electric cable networks of medium voltage of 6-35 kV [1]. 6-10 kV networks account for more than 99% of total length of medium voltage cable networks [2]. The predominant type of damage in these networks is single phase earth fault (SPEF), often arcing. SPEFs are often the primary cause of outages of cable lines and electric motors. Therefore, the reliability of power supply to consumers largely depends on the technical perfection (selectivity and stability of operation [5]) of protection against earth faults. © 2019 IEEE.

关键词： Electric lines

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Two-Degree-of-Freedom PID controller Design of Unmaned Aerial Vehicles

Two-Degree-of-Freedom PID Controller Design of Unmaned Aeria...

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2022 International Conference on control, Automation and Diagnosis, ICCAD 2022

作者： Taher Azar, Ahmad Serrano, Fernando E. Ahmad Kamal, Nashwa Al Mhdawi, Ammar K. Khamis, Alaa M. Kasim Ibraheem, Ibraheem Humaidi, Amjad J. Ben Njima, Chakib Prince Sultan University College of Computer & Information Sciences Riyadh Saudi Arabia Benha University Faculty of Computers and Artificial Intelligence Benha Egypt Instituto de Investigación en Energía Tegucigalpa11101 Honduras Cairo University Faculty of Engineering Giza Egypt Edge Hill University United Kingdom General Motors Canada OshawaL1J 6J2 Canada Dijlah University College Department of Computer Techniques Engineering Baghdad10001 Iraq University of Technology Control and Systems Engineering Department Baghdad Iraq University of Sousse Tunisia

ISBN: (数字)9781665497947

ISBN: (纸本)9781665497947

This paper shows an analysis and controller design of independent two degrees of freedom (2DOF) PID controllers for unmanned aerial vehicles. The transfer functions of system dynamics are separated into two sections: lateral and longitudinal. A transient examination of the temporal response for the lateral and longitudinal control blocks is also included in this paper when a reference input is utilized as a pilot instruction. This research also provides a robustness analysis as well as an integral square error analysis to evaluate the performance of the suggested control technique. The fundamental contribution of this research is that independent control for unmanned aerial vehicles is limited, as described in the literature. A major contribution is made because disturbances are handled. The results show that in all simulations, a suitable settling time and overshoot are reached. © 2022 IEEE.

关键词： Longitudinal control

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Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis

arXiv

引用

arXiv 2022年

作者： Perlaza, Samir M. Bisson, Gaetan Esnaola, Iñaki Jean-Marie, Alain Rini, Stefano INRIA 2004 Route des Lucioles Sophia Antipolis06902 France The Laboratoire de Mathématiques GAATI Université de la Polynésie Française BP 6570 Faaa98702 French Polynesia The Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom The Department of Electrical and Computer Engineering National Chao Tung University Hsinchu Taiwan The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

The optimality and sensitivity of the empirical risk minimization problem with relative entropy regularization (ERM-RER) are investigated for the case in which the reference is a σ-finite measure instead of a probability measure. This generalization allows for a larger degree of flexibility in the incorporation of prior knowledge over the set of models. In this setting, the interplay of the regularization parameter, the reference measure, the risk function, and the empirical risk induced by the solution of the ERM-RER problem is characterized. This characterization yields necessary and sufficient conditions for the existence of regularization parameters that achieve arbitrarily small empirical risk with arbitrarily high probability. Additionally, the sensitivity of the expected empirical risk to deviations from the solution of the ERM-RER problem is studied. Dataset-dependent and dataset-independent upper bounds on the absolute value of the sensitivity are presented. In a special case, it is shown that the expectation (with respect to the datasets) of the absolute value of the sensitivity is upper bounded, up to a constant factor, by the square root of the lautum information between the models and the datasets. © 2022, CC BY.

关键词： Sensitivity analysis

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