检索结果-内蒙古大学图书馆

AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： McQuinn, Cassie-Kay Valasek, John Vehicle Systems & Control Laboratory Aerospace Engineering Department Texas A&M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper develops and demonstrates an approach for identifying linear time invariant state-space dynamical models of small Unmanned Air systems (UAS) with and without active flight controllers, in near-real time. Models are generated onboard the vehicle from both openloop and closed-loop data using low cost commercial-off-the-shelf components. A controller, external to the primary flight controller, is developed and implemented to generate and record controller inputs for the closed-loop system using an extension of the Developmental Flight Test Instrumentation 2 (DFTI2). The Observer/Kalman filter Identification (OKID) algorithm generates linear, time invariant state-space realizations of longitudinal, lateral/directional, and combined longitudinal and lateral/directional models. The models are generated independent of actuator dynamics by mapping control effector deflection angles to measured servo potentiometer readings. Orthogonal Schroeder sine sweep excitations are used to reduce potential control coupling while also exciting multiple frequencies. Models identified from flight data are presented and evaluated in the paper. Results presented in the paper demonstrate that this system can generate models suitable for describing the dynamics of the vehicle, operating both with and without a controller implemented. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Invariance

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of Parametric Disturbances Effect on Cart-Inverted Pendulum System Stabilization 1

引用

International Conference on Modern Electronics Devices and Communication systems, MEDCOM 2021

作者： Verma, Neelam Valluru, Sudarshan K. Department of Electrical Engineering Center for Control of Dynamical Systems and Computation Delhi Technological University Delhi India

ISBN: (数字)9789811963834

ISBN: (纸本)9789811963827

The main motivation behind the present work was to validate the impact of pendulum mass, cart mass, and length of pendulum on stabilization and swing-up of cart-inverted pendulum. Inverted pendulum system is a classic benchmark example of underactuated electro-mechanical systems, where the degree of freedom is less than the number of inputs available. PID controller was designed for a set of parameter values of the system. MATLAB simulation was carried out for different values of pendulum mass (0.2–0.25 kg), pendulum length (0.3–0.34 m), and cart mass (2.3–2.45 kg). The performance of considered cart- inverted pendulum system is demonstrated with simulation results for a different set of results, and a comparative analysis was made to comment on their effects on swing-up and stabilization. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Stabilization

来源：评论

学校读者我要写书评

暂无评论

Long-Range Vehicle Detection of LiDAR using Adaboost Classification

Long-Range Vehicle Detection of LiDAR using Adaboost Classif...

引用

2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Lim, Na-Young Lee, Jeon-Hyeok Park, Tae-Hyoung Chungbuk National University Department of Intelligent Systems & Robotics Cheongju Korea Republic of Chungbuk National University Department of Control & Robot Engineering Cheongju Korea Republic of

ISBN: (纸本)9798331531614

In recent developments, autonomous racing has garnered attention as it aims to overcome the limitations of standard autonomous driving systems. Achieving safe racing conditions necessitates both fast and long-range perception. However, current 3D LiDAR object detection methods face challenges with high computational costs and limited detection ranges. These issues make them unsuitable for racing scenarios. To address these challenges, this paper proposes a clustering-based long-range vehicle detection method that relies solely on LiDAR. First, the method removes ground points and foreground points and clusters the remaining points. Subsequently, these clusters are classified as vehicles using AdaBoost, generating 2D bounding boxes in the range view. Experimental results demonstrate superior performance, achieving a computational efficiency of 53 Hz and a long-range detection accuracy of over 80%, compared to voxel-based and range-based methods. This approach offers a viable solution for autonomous racing environments. © 2025 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Uncertainty and its Effect on Optimal Multidrug control of Hemodynamic Variables

Uncertainty and its Effect on Optimal Multidrug Control of H...

引用

2024 American control Conference, ACC 2024

作者： Popescu, Teodora Birs, Isabela R. Othman, Ghada Ben Yumuk, Erhan Mihai, Marcian Hegedus, Erwin Copot, Dana De Keyser, Robin Ionescu, Clara M. Muresan, Cristina I. Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Research Group on Dynamical Systems and Control Department of Electromechanics Systems and Metal Engineering Tech Lane Science Park 125 Gent9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Maslak Istanbul34469 Turkey

ISBN: (纸本)9798350382655

Computer aided control in biomedical applications is gaining more and more popularity due to numerous research studies that have proven the efficiency of automatic control over manual dosing, which is highly susceptible to human errors. Optimal drug dosing is best achieved using automatic control, which triggers important benefits in terms of both costs and patient side-effects. However, mathematical models for patients are highly susceptible to large modeling uncertainty. A predictive control algorithm is designed in this paper for optimal multidrug control of hemodynamic variables. Improved closed loop performance is obtained compared to similar control strategies, for ± 30% modeling uncertainty. The simulation results demonstrate that predictive control is a feasible solution for optimal drug dosing. An analysis of the closed loop performance for significant patient variability shows that controllers tuned using a nominal patient model often fail to achieve desired robustness. To limit the effect of modeling uncertainty, the prediction model should be updated using an online identification tool to extract patient features. © 2024 AACC.

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

Optimal Operation of Multi-Unit Diesel Power Plant

引用

Power Technology and engineering 2024年第4期58卷 592-597页

作者： Vasileva, A.A. Vaskov, A.G. Sigel, A.S. Shestopalova, T.A. Shurkalov, P.S. Laboratory of Control Systems for Solar-Diesel Plants National Research University "Moscow Power Engineering Institute" Moscow Russia Department of Hydraulic Power and Renewable Energy Sources National Research University "Moscow Power Engineering Institute" Moscow Russia

Methods of mathematical modeling of the dependence of fuel consumption on the load of diesel gensets are considered. Accounting for such dependence in simulating the operation of solar-diesel hybrid power systems can reduce the consumption of diesel fuel and the operating hours of diesel generators. © Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Diesel power plants

来源：评论

学校读者我要写书评

暂无评论

Statistical Learning Theory for control: A Finite-Sample Perspective

引用

IEEE control systems 2023年第6期43卷 67-97页

作者： Tsiamis, Anastasios Ziemann, Ingvar Matni, Nikolai Pappas, George J. ETH Zürich Department of Information Technology and Electrical Engineering Zürich8092 Switzerland KTH Royal Institute of Technology Division of Decision and Control Systems Stockholm Sweden University of Pennsylvania Department of Electrical and Systems Engineering PhiladelphiaPA19104 United States

Learning algorithms have become an integral component to modern engineering solutions. Examples range from self-driving cars and recommender systems to finance and even critical infrastructure, many of which are typically under the purview of control theory. While these algorithms have already shown tremendous promise in certain applications [1], there are considerable challenges, in particular, with respect to guaranteeing safety and gauging fundamental limits of operation. Thus, as we integrate tools from machine learning into our systems, we also require an integrated theoretical understanding of how they operate in the presence of dynamic and system-theoretic phenomena. Over the past few years, intense efforts toward this goal - an integrated theoretical understanding of learning, dynamics, and control - have been made. While much work remains to be done, a relatively clear and complete picture has begun to emerge for (fully observed) linear dynamical systems. These systems already allow for reasoning about concrete failure modes, thus helping to indicate a path forward. Moreover, while simple at a glance, these systems can be challenging to analyze. Recently, a host of methods from learning theory and high-dimensional statistics, not typically in the control-theoretic toolbox, have been introduced to our community. This tutorial survey serves as an introduction to these results for learning in the context of unknown linear dynamical systems (see 'Summary'). We review the current state of the art and emphasize which tools are needed to arrive at these results. Our focus is on characterizing the sample efficiency and fundamental limits of learning algorithms. Along the way, we also delineate a number of open problems. More concretely, this article is structured as follows. We begin by revisiting recent advances in the finite-sample analysis of system identification. Next, we discuss how these finite-sample bounds can be used downstream to give guaranteed performa

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Investigating the Effect of Ground Distance on the Characteristics of a Coupled Meander Microstrip Line 3

Investigating the Effect of Ground Distance on the Character...

引用

3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Murmansky, Mikhail S. Kuzmin, Nikita O. Mikhailenko, Viacheslav E. Tomsk State University of Control Systems and Radioelectronics Department of Ultra High Frequency and Quantum Radio Engineering Tomsk Russia Tomsk State University of Control Systems and Radioelectronics Engineer of research Laboratory of 'Safety and Electromagnetic Compatibility of Radioelectronic Facilities' Tomsk Russia

ISBN: (纸本)9798331516321

This paper investigates the influence of the distance between the ground plane and a coupled meander microstrip line on its characteristics in the frequency and time domains. It is shown that at a distance of 2.5 mm the ground plane has no impact on the characteristics in both domains. The structure with a ground plane has the greatest influence at a distance of 0.5 mm from the line, resulting in a decrease in the average values of | S11| by 1.5 dB and an increase in the average values of | S21| and | S41| by 1 and 3 dB, respectively. Electromagnetic modeling of the investigated structure was carried out in the frequency range from 0 to 20 GHz using COMSOL Multiphysics. N-norms were employed for a more detailed assessment of the time-domain response. The analysis of the N-norms showed that increases in the distance to the ground structure do not affect the N1 values. The structure with a distance to the ground plane of 0.5 mm possesses the maximum N2-5 values. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

来源：评论

学校读者我要写书评

暂无评论

Hydrogen Pinch Analysis with Recycled Hydrogen Approach by Energy Management of Refinery Processes in Optimal State 9

Hydrogen Pinch Analysis with Recycled Hydrogen Approach by E...

引用

9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Rizi, Daryoush Tavangar Nazari, Mohammad Hassan Gharehpetian, G.B. Hosseinian, Seyed Hossein Fani, Maryam Khorsandi, Amir Amirkabir University of Technology Department of Physics and Energy Engineering Tehran Iran Smart Control Systems Department Tehran Iran Amirkabir University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350329797

Special goals in the oil industry lead experts to the optimal use of hydrogen in refinery and petrochemical units. In this research, the necessity of hydrogen management and refinery hydrogen distribution network in refineries has been investigated. In this method, based on the pressure, the hydrogen distribution network in the refinery is checked in two modes. In the first case, the optimization is done only with the equipment that is currently available in the refinery. Here in, the output of the hydrogen production unit and the operating costs will not decrease. Even so, in the second case, assuming the economic possibility of purchasing a new device called pressure oscillation absorption hydrogen recovery units (PSA), optimization has been done and the results have been analyzed and reviewed. In the simulation of the problem in question, GAMS software has been used in the form of nonlinear programming in the network to reduce hydrogen production in the hydrogen production and recycling unit, which has led to a 54.13% reduction in operating costs. A successful implementation of this initiative has resulted in considerable financial savings of 1.21 million dollars for the refinery on an annual basis. Cost of existing network is 235 million dollars, while PSA costs 1.025 million dollars. The results show that the objectives of this research have been well achieved. © 2024 IEEE.

关键词： Operating costs

来源：评论

学校读者我要写书评

暂无评论

Intelligent obstacle avoidance algorithm for safe urban monitoring with autonomous mobile drones

引用

Journal of Electronic Science and Technology 2024年第4期22卷 19-36页

作者： Didar Yedilkhan Abzal E.Kyzyrkanov Zarina A.Kutpanova Shadi Aljawarneh Sabyrzhan K.Atanov Department of Computer Engineering Astana IT UniversityAstana010000Kazakhstan Department of Computer and Software Engineering L.N.Gumilyov Eurasian National UniversityAstana010000Kazakhstan Department of Automation and Control Systems L.N.Gumilyov Eurasian National UniversityAstana010000Kazakhstan Department of Software Engineering Jordan University of Science and TechnologyIrbid22110Jordan

The growing field of urban monitoring has increasingly recognized the potential of utilizing autonomous technologies,particularly in drone *** deployment of intelligent drone swarms offers promising solutions for enhancing the efficiency and scope of urban condition *** this context,this paper introduces an innovative algorithm designed to navigate a swarm of drones through urban landscapes for monitoring *** primary challenge addressed by the algorithm is coordinating drone movements from one location to another while circumventing obstacles,such as *** algorithm incorporates three key components to optimize the obstacle detection,navigation,and energy efficiency within a drone ***,the algorithm utilizes a method to calculate the position of a virtual leader,acting as a navigational beacon to influence the overall direction of the ***,the algorithm identifies observers within the swarm based on the current *** further refine obstacle avoidance,the third component involves the calculation of angular velocity using fuzzy *** approach considers the proximity of detected obstacles through operational rangefinders and the target’s location,allowing for a nuanced and adaptable computation of angular *** integration of fuzzy logic enables the drone swarm to adapt to diverse urban conditions dynamically,ensuring practical obstacle *** proposed algorithm demonstrates enhanced performance in the obstacle detection and navigation accuracy through comprehensive *** results suggest that the intelligent obstacle avoidance algorithm holds promise for the safe and efficient deployment of autonomous mobile drones in urban monitoring applications.

关键词： Drone swarms Fuzzy logic Intelligent solution Smart city Urban monitoring

来源：评论

学校读者我要写书评

暂无评论

Applying Data Science to Assess Cyber Security of Renewable Energy and Reserve Markets to Ensure System Reliability 9

Applying Data Science to Assess Cyber Security of Renewable ...

引用

9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Rizi, Daryoush Tavangar Nazari, Mohammad Hassan Hosseinian, Seyed Hossein Gharehpetian, G.B. Fani, Maryam Khorsandi, Amir Amirkabir University of Technology Department of Physics and Energy Engineering Tehran Iran Smart Control Systems Department Tehran Iran Amirkabir University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350329797

Cybersecurity plays a vital role in tackling threats and minimizing potential harm. The primary objective of the research is to investigate the impact of intervention on the energy market, specifically the unavailability of resources. This network serves as a small-scale representation of energy and reserve markets, encompassing both of the renewable recourse and lines. This is done by executing multiple situations in the network. After an attack in the system, minimizing costs is achieved through a problem solution approach. The CPLEX solver has used for solving MILP model. Furthermore, the gained optimal information is used for prediction and analysis, enabling the utilization of data science techniques, such as charts and machine learning methods, to accurately predict and identify various scenarios. The attack causes a shift in the peak and minimum of the load. Additionally, the examination of three machine learning algorithms has revealed the usage of support vector machine (SVM) in conjunction with neural networks such as RBF, a second-degree polynomial, and third-degree polynomial. According to the results, the highest performance accuracy of 86% is achieved by integrating SVM with a neural network structure. © 2024 IEEE.

关键词： Clean energy

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：