检索结果-内蒙古大学图书馆

14th IEEE International Conference on Cyber technology in automation, control, and Intelligent systems, CYBER 2024

作者： Yang, Binghao Wang, Dongliang Wen, Ziling Wei, Wu Li, Wenji Fan, Zhun Shantou University Key Lab of Digital Signal and Image Processing of Guangdong Province Guangdong 515063 China Shantou University School of Department of Electronic and Information Engineering Guangdong 515063 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Guangzhou510640 China School of Automation Science and Engineering South China University of Technology Guangdong Guangzhou510641 China

ISBN: (纸本)9798331506056

The application of unmanned vehicles in industrial cargo transportation is becoming increasingly widespread, particularly playing a significant role in transporting heavy-duty goods. However, when performing such tasks, whether in single-vehicle transportation or multi-vehicle collaborative transportation, the occurrence of wheel failures can potentially lead to serious safety accidents. Therefore, this paper proposes a fault-tolerant control scheme, establishing a kinematic model considering disturbances and failures, and adopts model predictive control for trajectory tracking. Additionally, an extended state observer is introduced to observe system states and counteract disturbances. To address potential failure issues, a controller reconstruction strategy is proposed. Finally, the effectiveness and superiority of the controller is validated through numerical simulation and comparative experiment. © 2024 IEEE.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Non-Overshooting Output Regulation of Linear systems via Positive systems Method

Non-Overshooting Output Regulation of Linear Systems via Pos...

引用

International Conference on Electronic engineering and Informatics (EEI)

作者： Xuanjin Deng Wei Liu Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

This paper investigates the non-overshooting output regulation problem by using the analysis and synthesis approaches of positive systems. Combining linear programming with gain matrix decomposition technique, a state feedback control law with two different kinds of design parameters is designed to ensure the stability and positivity of the corresponding closed-loop systems, which leads to the solvability of the non-overshooting output regulation problem of linear systems. Finally, an example is given to verify the effectiveness of the proposed design.

关键词： Linear systems State feedback Programming Linear programming Regulation Stability analysis Matrix decomposition Closed loop systems Nonlinear systems Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Deterministic Learning-Based Robust Practical Output Regulation for Second-Order Nonlinear systems

Deterministic Learning-Based Robust Practical Output Regulat...

引用

Complex systems and Intelligent Science (CSIS-IAC), International Annual Conference on

作者： Qingxi Hu Wei Liu Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798331504755

ISBN: (纸本)9798331504762

This article intends to investigate the semi-global robust practical output regulation problem for a class of second-order nonlinear systems with parametric and non-parametric uncertainties based on deterministic learning method. First, by constructing the internal models, the robust output regulation problem is transformed into the semi-global robust practical stabilization problem. Second, we propose an adaptive neural control (ANC) strategy to solve the stabilization problem and utilize the radial basis function neural networks (RBF NNs) to identify unknown dynamic. Moreover, under the persistently exciting (PE) property, the unknown dynamics can be identified and the learned knowledge is saved as some constant NN weights. Finally, we design an deterministic learning-based adaptive neural control (DLANC) law with the learned knowledge to solve the output regulation problem and improve control performance.

关键词： Learning systems Uncertainty Adaptive systems Process control Artificial neural networks Radial basis function networks Regulation Nonlinear dynamical systems Complex systems Convergence

来源：评论

学校读者我要写书评

暂无评论

Robust Output Voltage Tracking with Prescribed Performance for Single-Phase UPS Inverters

Robust Output Voltage Tracking with Prescribed Performance f...

引用

Chinese automation Congress (CAC)

作者： Jialei Luo Wei Liu Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

This paper deals with the robust output voltage tracking problem with prescribed performance for single-phase voltage source uninterruptible power supply inverters. We construct two linear internal models to reproduce the steady-state information, based on which we transform our problem into the robust stabilization problem with prescribed performance of an augmented system. Then, we incorporate a novel error transformation into the existing framework for the robust output regulation problem to design a stabilization controller, based on which we synthesize our control law to make the tracking error converge to zero asymptotically while always satisfying the prescribed performance.

关键词： automation Power supplies Transforms Inverters Regulation Steady-state Voltage control Nonlinear systems Uninterruptible power systems Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

An Online Strategy for Nonlinear Vector Autoregression

An Online Strategy for Nonlinear Vector Autoregression

引用

Robotics, control and automation engineering (RCAE), International Conference on

作者： Gang Fang Yiqi Liu Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science & Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350355642

ISBN: (纸本)9798350355659

Nonlinear vector autoregression (NVAR), as an effective alternative to traditional reservoir computing (RC), has garnered significant attention in the field of time series prediction in recent years. Unlike conventional RC, NVAR does not require the use of random sampling matrices to define the underlying recurrent neural network, and it features fewer hyperparameters. However, NVAR is an offline model, making it challenging to meet the real-time monitoring requirements of industrial processes. Inspired by the Woodbury matrix identity, this paper proposes an online NVAR that can update the model using data arriving in blocks. Subsequently, this study constructs a soft sensing model based on the online NVAR to perform real-time monitoring of industrial processes. Finally, the effectiveness of the proposed method is validated using a real-world dataset from a wastewater treatment plant.

关键词： Recurrent neural networks Soft sensors Time series analysis Reservoir computing Predictive models Robot sensing systems Vectors Real-time systems Data models Wastewater treatment

来源：评论

学校读者我要写书评

暂无评论

Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System

Capturing Aerodynamic Characteristics of ATTAS Aircraft with...

引用

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

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.

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

来源：评论

学校读者我要写书评

暂无评论

CancerSRT:a spatially resolved transcriptomics database for human cancers

引用

Journal of Genetics and Genomics 2024年第12期51卷 1505-1508页

作者： Yuying Huo Jiakang Wang Chengcheng Liu Jinxia Wang Chen Wang Wenbo Guo Zhiyuan Yuan Tiantian Guo Jin Gu Xiangyu Li School of Software Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Biological Sciences Center for Systems BiologyThe University of Texas at DallasRichardsonTX 75080USA MOE Key Laboratory of Bioinformatics BNRIST Bioinformatics DivisionDepartment of AutomationTsinghua UniversityBeijing 100084China Institute of Science and Technology for Brain-Inspired Intelligence Fudan UniversityShanghai 200433China

Human cancer is one of the leading causes of death *** heterogeneity and complex microenvironment are major challenges for anti-cancer treatment.A better understanding of the tumor heterogeneity might contribute to more precise diagnosis and *** advances in single-cell RNA-sequencing(scRNA-seq)have provided valuable insights into cell fate determination and development in cancer,but the main limitation is that cellular spatial information is ***,spatially resolved transcriptomics technologies have enabled gene expression profiling with spatial coordinates in tissues,which opens up new avenues for deciphering the cancer spatial structure and accelerating oncological research.

关键词： diagnosis spatially resolved

来源：评论

学校读者我要写书评

暂无评论

Synthesis and Characterization of Biochar Obtained from Microwave-Assisted Copyrolysis of Torrefied Sawdust and Polystyrene

ACS Sustainable Resource Management

引用

ACS Sustainable Resource Management 2024年第9期1卷 2074-2085页

作者： Ramesh Potnuri Chinta Sankar Rao Control Systems and Machine Learning Research Laboratory Department of Chemical Engineering National Institute of Technology Karnataka Surathkal Mangalore Karnataka 575025 India

This study focuses on copyrolyzing pretreated sawdust and polystyrene utilizing microwave-assisted pyrolysis (MAP) with equal mixing to synthesize and characterize biochar. Graphite was used as a susceptor to facilitate precise pyrolysis temperature control. Potassium hydroxide (KOH) powder serves as a catalyst, influencing the char yields and properties. Torrefied raw sawdust at various temperatures (125–175 °C) enhances biochar yields (24–29 wt %). The feedstocks sawdust and polystyrene are characterized by elemental, proximate, and TGA examinations. Furthermore, comprehensive surface, crystallographic, FTIR, and SEM-EDX analyses are performed on microwave copyrolyzed biochar. The developments in BET surface area during copyrolysis show changes concerning pretreatment temperatures: 125 °C (5.6 m2/g) < 150 °C (6.8 m2/g) < 175 °C (8.6 m2/g). Functional groups connected to the alcohols’ O–H bend and C–O stretching vibrations are detected in the biochar samples through FTIR analysis. Sharp peaks with 2θ values between 33.2° and 36.2° appear in the XRD scan of biochar, indicating the presence of crystalline components in the sample. The EDX results demonstrated that the components of biochar included Mg, C, O, and Ca, indicating that it could have plenty of advantageous applications. The study highlights the obstruction of sawdust char’s porous structures by polystyrene, hindering volatile emissions and leading to increased heating rates. These findings underscore the unique contributions of this method to biochar production.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analytic Mechanism for the Cumulative Effect of Wind Power Fluctuations from Single Wind Farm to Wind Farm Cluster

引用

CSEE Journal of Power and Energy systems 2022年第5期8卷 1290-1301页

作者： Gang Mu Fangze Wu Xiaoping Zhang Ziheng Fu Bai Xiao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Department of Electronic Electrical and Systems EngineeringSchool of EngineeringUniversity of BirminghamBirmingham B152TTU.K

The use of wind power is rapidly growing worldwide as a means of reducing carbon emissions for the energy *** has the world’s largest wind power installation and multiple large-scale wind farm clusters,each comprising dozens of wind *** the planning and operation of the power system,it is important to understand the power fluctuation characteristics of wind farm *** studies demonstrate that the relative power fluctuation of a wind farm cluster is less than that of a single wind *** this decreasing trend a random occurrence or does it have a regular pattern?This scientific question is addressed by investigating the mechanism of the cumulative effect of a wind farm *** this study,a cumulative model is proposed by examining the spatiotemporal relationships of wind power variations and wind farm *** gain function and critical cumulative frequency are defined as the foundations to analytically describing the cumulative *** investigating the cumulative effect mechanism,the relationship between power fluctuation and spatiotemporal parameters of the wind farm cluster are *** power fluctuation of a cluster can be predicted using the cumulative model even before it is completely *** mechanism of the cumulative effect is validated on the basis of the data of two actual wind farm clusters.

关键词： Analytic mechanism cumulative effect evolution regularity wind farm cluster wind power fluctuation

来源：评论

学校读者我要写书评

暂无评论

An event-triggered tracking control scheme based on predictive control method and its application

An event-triggered tracking control scheme based on predicti...

引用

第42届中国控制会议

作者： Lei Cao Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent University Department of Control and Automation Engineering Istanbul Technical University Center for Control Science and Technology Southern University of Science and Technology

In this paper, the tracking control problem for networked control system(NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost *** on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup.

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：