检索结果-内蒙古大学图书馆

IEEE Conference on Decision and control

作者： Norihisa Namura Hiroya Nakao Department of Systems and Control Engineering Institute of Science Tokyo Tokyo Japan Department of Systems and Control Engineering Research Center for Autonomous Systems Materialogy Institute of Science Tokyo Tokyo Japan

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

We present a method for optimal phase control of limit-cycle oscillators using strong inputs. Based on the phase-amplitude reduction, which provides a concise representation of the oscillator dynamics, we design an optimal control input that quickly realizes the target phase while keeping the oscillator state close to the original limit cycle by penalizing the amplitude deviations. The derived scheme requires only a single one-dimensional phase equation even for the control of high-dimensional oscillators. We demonstrate the effectiveness of the proposed method by comparing the control performance with other methods, using the van der Pol oscillator and Willamowski-Rössler oscillator as examples.

关键词： Boundary value problems Limit-cycles Optimal control Phase control controllability Mathematical models Vectors Synchronization Oscillators Predictive control

来源：评论

学校读者我要写书评

暂无评论

A Spiral Coverage Path Planning Algorithm for Nonomnidirectional Robots

引用

Journal of Field Robotics 2025年

作者： Hou, Taogang Li, Jiaxin Pei, Xuan Wang, Hao Liu, Tianhui Institute of Advanced Control Systems School of Automation and Intelligence Beijing Jiaotong University Beijing Beijing China Institute of Robotics School of Mechanical Engineering and Automation Beihang University Beijing Beijing China

The limited steering capabilities of nonomnidirectional robots introduce significant complexity into complete coverage tasks, often leading to increased path overlap or incomplete coverage of certain areas. Although recent research has made progress in optimizing coverage path planning, redundant coverage or omissions are still prone to occur in the target area to be covered. To address these persistent challenges, we propose a novel spiral coverage method. This approach not only conforms to the kinematic constraints of nonomnidirectional robots but also enhances coverage efficiency by dividing the target area into center and boundary regions and devising tailored coverage strategies for each. This method effectively reduces path redundancy and improves overall area coverage. Furthermore, we introduce a comprehensive metric that combines total path length and area coverage ratio to evaluate coverage efficiency, overcoming the limitations and computational complexity associated with existing metrics. For scenarios where maximizing the area coverage ratio is critical, we have developed a high-coverage-rate turning strategy that ensures 100% coverage. Through simulation tests in six representative areas and actual experiments on airport runways, our method shows an improvement of 0.238%–14.538% in coverage efficiency compared with parallel coverage method and 60.548%–76.339% compared with deep reinforcement learning-based method. Additionally, implementing high-coverage-rate turning strategies improves the area coverage ratio by 2.021%–6.732%. In field experiments, our method reduces execution time by 1.61% compared with parallel coverage method. These results show that our method has a significant effect in improving coverage efficiency and achieving complete coverage goals. © 2025 Wiley Periodicals LLC.

关键词： Robot programming

来源：评论

学校读者我要写书评

暂无评论

Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters

引用

CSEE Journal of Power and Energy systems 2023年第1期9卷 315-325页

作者： Ancheng Xue He Kong Feiyang Xu Junbo Zhao Naichao Chang Joe H.Chow Haiyan Hong State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Department of Electrical and Computer Engineering University of ConnecticutStorrs06268USA National Electric Power Dispatching and Control Center Beijing 100031China Department of Electrical Computerand Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNY 12180USA

Phasor measurement units(PMUs)provide useful data for real-time monitoring of the smart ***,there may be time-varying deviation in phase angle differences(PADs)between both ends of the transmission line(TL),which may deteriorate application performance based on *** address that,this paper proposes two robust methods of correcting time-varying PAD deviation with unknown parameters of TL(ParTL).First,the phenomena of time-varying PAD deviation observed from field PMU data are *** general formulations for PAD estimation are then *** simplify the formulations,estimation of PADs is converted into the optimal problem with a single ParTL as the variable,yielding a linear estimation of *** latter is used by second-order Taylor series expansion to estimate PADs *** reduce the impact of possible abnormal amplitude data in field data,the IGG(institute of Geodesy&Geophysics,Chinese Academy of Sciences)weighting function is *** using both simulated and field data verify the effectiveness and robustness of the proposed methods.

关键词： Correction line parameters parameter identification phasor measurement time-varying phase angle difference deviation

来源：评论

学校读者我要写书评

暂无评论

TCIP: Transformed Colour Intensity Profiles analysis for fault detection in power line insulators

引用

Multimedia Tools and Applications 2025年第8期84卷 4503-4534页

作者： Tomaszewski, Michal Gasz, Rafal Kasana, Singara Singh Osuchowski, Jakub Singh, Simranjit Zator, Slawomir Department of Computer Science Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 Opole45-758 Poland Department of Computer Science and Information Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Information Technology Dr B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Department of Safety Engineering and Technical Systems Faculty of Production Engineering and Logistics Opole University of Technology Prószkowska 76 Opole45-758 Poland

In response to the escalating demand for electricity, the aging process and inherent failures in power lines have become unavoidable challenges in their operational integrity. This research addresses the imperative need for a robust method to detect damage in power insulator disc images, introducing a novel feature extraction technique grounded in color intensity profile transformation and ensemble learning. For the purposes of the research, a specific dataset was developed based on publicly available images of power insulators. The collection consists of 9232 images of insulator discs which included 2184 images of damaged discs. The discernible damages include breakages and burnouts. Two distinct analysis variants were employed. In the first variant (V1), two classification groups were selected: disc with damages and disc without damages. In the second variant (V2), three classification groups were selected: discs without damage, broken discs, and burnout discs. The described research was divided into two successive stages. In the first of them (S1), the transformed color intensity profiles for the prepared data set were built and various machine learning models for their classification were trained and evaluated. In the next stage (S2), previously developed, highest efficient machine learning models, were used to make the detection of various damaged types of overhead line insulator discs. For the first stage of research high-performance results and a high value of the F1 score parameters were obtained (F1 score = 0.999 for the first variant (S1V1) and F1 score = 0.992 for the second variant (S1V2). In the second stage of research and the first variant (S2V1), the highest result of the F1 score was 0.932 and for the second variant (S2V2) F1 score was 0.930. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A Visual Dynamic Odometry with Objects Tracking 41

A Visual Dynamic Odometry with Objects Tracking

引用

第41届中国控制会议

作者： Mingliang Gao Wei Gong Li Li The Department of Control Science and Engineering Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Tongji University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Visual SLAM approaches have made significant breakthroughs in recent *** has been widely used in mobile robots,autonomous driving,and AR/VR applications,which interact closely with the ***,the majority of SLAM algorithms are based on the static world assumption,which hinders the popularization of visual SLAM in a natural dynamic *** paper proposes a multi-object tracking visual odometry in a dynamic environment,segmented at the instance level,combined with the multi-object tracking function,and utilizes a new tracking *** new tracking strategy divides the image into the static and potential dynamic regions combined with instance *** the static region,it is tracked by minimizing the reprojection *** potential dynamic region is tracked by minimizing the photometric *** experimental results show that in the dynamic environment,the proposed algorithm can accurately estimate the camera pose and accurately estimate the motion of moving *** with the state-of-the-art algorithms,our proposed algorithm has much lower complexity while having similar accuracy performance.

关键词： Visual SLAM Dynamic Environment Object Tracking Motion Estimation

来源：评论

学校读者我要写书评

暂无评论

Fractional Order PID control of Propofol Dosage and Optimization in Lean and Obese Patients

引用

IFAC-PapersOnLine 2024年第7期58卷 228-233页

作者： Amani R. Ynineb Marcian-David Mihai Erhan Yumuk Hamed Farbakhsh Ghada Ben Othman Robin De Keyser Cristina Muresan Isabela Birs Dana Copot Clara M. Ionescu Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 9052 Zwijnaarde Belgium Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Istanbul Technical University Department of Control and Automation Engineering Maslak 34469 Istanbul Turkey

This paper outlines the design of a fractional-order proportional–integral–derivative controller for regulating the induction phase of Propofol infusion in lean and obese patients. The obtained controller is implemented within the pharmacokinetic-pharmacodynamic model and the nonlinear Hill function to conduct closed-loop simulations. The latter are employed using a dataset comprising 24 patients to obtain clinical evaluation results. The design of the controller relies on a generic second-order plus dead time approximation model, which characterizes interpatient variability in response to Propofol infusion within the studied population. The fractional-order proportional–integral–derivative is tuned to achieve sufficient robustness margins ie phase margin, cutoff frequency, and the consideration of the iso-damping properties. The results show no undershoot and a smooth convergence to the desired value of the bispectral index, which indicates the depth of hypnosis.

关键词： Closed-Loop control of Anesthesia Obese Patients Fractional-Order PID control

来源：评论

学校读者我要写书评

暂无评论

Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm

引用

CSEE Journal of Power and Energy systems 2022年第4期8卷 1145-1156页

作者： Levent Yavuz Ahmet Soran AhmetÖnen Xiangjun Li S.M.Muyeen Electrical and Computer Engineering Department in Abdullah Gül University Kayseri 38080Turkey Department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscat123Oman Department of Electrical Engineering Qatar UniversityDoha 2713Qatar State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Rescarch InstituteBeijing 100192China

This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.

关键词： Decision tree(DT) ensemble machine learning algorithm fault detection islanding operation k-Nearest Neighbor(kNN) linear discriminant analysis(LDA) logistic regression(LR) Naive Bayes(NB) self-healing algorithm

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence-based Fault Detection and Diagnosis: Towards Application in a Chemical Process

Artificial Intelligence-based Fault Detection and Diagnosis:...

引用

2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Liu, Yiqi Li, Zhi Chen, Hongtian The School of Automation Science & Engineering Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology Guangzhou510640 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China

ISBN: (纸本)9798350337754

As the chemical processes become more and more complicated, it is crucial but also difficult to detect and diagnose faults in the system than ever. With the development of machine learning algorithms and cloud computing, to monitor chemical processes completely with the help of big data become true. However, most machine learning methods suffer from unexplainable problem. By employing Explainable Artificial Intelligence(XAI) techniques, this paper applies two kinds of unsupervised machine learning methods, One-Class Support Vector Machine and Depth-based Isolation Forest Feature Importance, to detect and diagnosis faults in a chemical process. By combining two different fault explanation methodologies, accuracy and reliability of the fault diagnosis results can be achieved by the validation in a simulated continuous stirred tank reactor. © 2023 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Research on Indoor Positioning of Multi-source Information Fusion Based on Improved Particle Filter 22

Research on Indoor Positioning of Multi-source Information F...

引用

6th International Conference on Computer Science and Application engineering, CSAE 2022

作者： Zhou, Chulin Chen, Shiyou Chen, Jingdong Department of Command and Control Systems Wuhan Institute of Digital Engineering Wuhan China Department of Information and Electronics Wuhan Institute of Digital Engineering Wuhan China

ISBN: (纸本)9781450396004

In the information age, people are increasingly demanding location-based services. The traditional indoor positioning based on a single signal source has low accuracy and poor stability. On the one hand, the occlusion and echo interference in the indoor environment are serious, especially in the case of crowded environment and non-line-of-sight propagation, the UWB (Ultra Wide band) positioning accuracy will be greatly reduced. On the other hand, IMU (inertial Measurement Unit) can provide an accurate inertial navigation solution in a short time but its positioning error increases fast with time due to the cumulative error of accelerometer measurement. Therefore, in the process of pedestrian walking, we use the key information obtained by PDR (Pedestrian Dead Reckoning) to establish and update the real-time motion model of the target and calculate the prior information in the process of fusion filtering. Then, the initial position of the target is obtained through the UWB positioning solution, and the PDR positioning trajectory is corrected as the observation information in the fusion filtering process. Finally, the improved differential particle filter algorithm is used to fuse the above UWB positioning results and PDR positioning results, and make up for the advantages and disadvantages of the two positioning to improve the accuracy and stability of fusion positioning. © 2022 Association for Computing Machinery.

关键词： Location based services

来源：评论

学校读者我要写书评

暂无评论

A Finite-time controller Design Based on Strick-feedback System for Flexible Joint Manipulator

引用

International Journal of control, automation and systems 2025年第6期23卷 1829-1838页

作者： Chiem, Nguyen Xuan Thuy, Pham Xuan Department of Automation and Computing Techniques in the Institute of Control Engineering Le Quy Don Technical University Ha Noi Viet Nam

This paper presents a novel controller design based on strick-feedback system to solve the trajectory-tracking control problem of flexible joint manipulators. First, a mathematical model of the manipulator without the use of an exact control input model is derived. Then, a control law is designed by using a virtual control system in strick-feedback form that has properties of finite-time stability. To this purpose, a diffeomorphism for mapping between the virtual system and the flexible joint manipulator model is introduced. Since the virtual control system has the properties of finite-time, the proposed control law for the manipulator also inherits these characteristics. The proposed method is proven based on the Liapunov stability theory that the tracking error of the system can be stabilized within a finite time. To validate the effect of the method, both simulation and experiments are carried out; and the obtained results demonstrate the performance of the proposed control law.

关键词：

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：