检索结果-内蒙古大学图书馆

Fixed-Time Cooperative control of Vehicles with Connectivity Preservation

IEEE Transactions on Vehicular Technology 2025年

作者： Guo, Ge Zhang, Qian Zhou, Zeng-Di Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University at Qinhuangdao School of Control Engineering Qinhuangdao066004 China Northeastern University College of Information Science and Engineering Shenyang110819 China

This article studies the lateral and longitudinal cooperative control problem of a collection of vehicles with limited communication capacity. A distributed two-layered control framework is established. Therein, the upper layer provides a pseudo velocity deviation command to achieve spacing error optimal consensus, incorporating a log-barrier penalty function to maintain communication connectivity. The lower layer contains a command-filtered tracking controller for the vehicle to follow the provided command in a predefined time. Together, they ensure the fixed-time stability of the vehicle group. Simulations are performed to validate the availability and feasibility of the methodology. © 1967-2012 IEEE.

关键词： Autonomous vehicles connectivity preservation cooperative control distributed control fixed-time

来源：评论

学校读者我要写书评

暂无评论

Nonlinear unmanned aerial vehicle formation control via composite Laplacian quadratics

Advanced Control for Applications: Engineering and Industria...

引用

Advanced control for Applications: engineering and Industrial Systems 2020年第2期2卷

作者： Jing, Peng Chen, Fei State Key Laboratory of Synthetical Automation for Process Industries Northeastern University China School of Control Engineering Northeastern University at Qinhuangdao China

This article studies a leader-following formation control problem, in which the agent model is governed by continuous-time nonlinear differential equations. We are interested in designing a distributed control algorithm which is capable of handling the strong nonlinearities induced by the unmanned aerial vehicle model. Our primary objective is to investigate the convergence of the corresponding closed-loop system, and to understand how the nonlinear dynamics and the network topologies may impose intrinsic barriers on formation control. The results show that an exponential convergence is guaranteed under the proposed algorithm via the composite Laplacian quadratics function as long as the network topology has a directed spanning tree. © 2020 John Wiley & Sons, Ltd.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

Parallel Temporal and Spatial Modeling for Interpretable Fault Detection and Isolation of Industrial processes

Parallel Temporal and Spatial Modeling for Interpretable Fau...

引用

International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Pengyu Song Chunhui Zhao Jinliang Ding Youxian Sun Xuanxuan Jin State Key Laboratory of Industrial Control Technology (College of Control Science and Engineering) Zhejiang University Hangzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Zhejiang Zheneng Jiahua Power Generator Co. Ltd. Hangzhou China

ISBN: (纸本)9781665402460

The structure of modern industrial processes has been gradually complicated to adapt to diversified production requirements. process variables generally have temporal characteristics. Meanwhile, complex spatial interactions between variables also pose challenges for process modeling. In this study, a parallel temporal and spatial feature extraction framework is proposed and applied to fault detection and isolation in industrial processes. On the one hand, unlike the existing methods with mixed spatiotemporal information, we design independent temporal and spatial modeling structures. The temporal characteristics of each process variable are simultaneously extracted in the designed temporal submodule. Furthermore, the spatial connections between variables are captured through sparse adjacency network extraction and information fusion. In this way, the temporal and spatial information can be individually observed to provide interpretable monitoring results. On the other hand, considering the different spatiotemporal anomalies caused by various fault types, we establish a targeted isolation strategy to provide reliable fault analysis. For temporal faults, the reconstruction error indicators are designed to quantify the abnormality of the variable. Moreover, a network reconstruction model is developed to measure the spatial structure deviation and locate the fault source. The performance of the proposed method is verified through a real industrial example.

关键词： Sensitivity process modeling Fault detection Computational modeling Production Feature extraction Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Model-Free Data-Driven Prescribed-TimePerformance control for Underactuated ASV

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Zhao, Ying Lu, Wenlong Guo, Ge Dalian Maritime University Marine Electrical Engineering College Dalian116026 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University at Qinhuangdao School of Control Engineering Qinhuangdao066004 China

In this paper, a model-free data-driven prescribedtime-performance (DDPTP) algorithm is developed for the underactuated autonomous surface vehicle (ASV). By defining a leader to provide the dynamic reference signal, the proposed DDPTP algorithm can achieve high-precision target tracking tasks while ensuring collision avoidance and connectivity between the leader and follower. A prescribed-time-performance function (PTPF) is designed for the ASV, featuring an adaptive shape and customizable convergence time. By using both real-time and historical data, a data-driven neural predictor (DDNP) is developed to estimate system uncertainties including unmodeled dynamics, unknown environmental disturbances and unknown input gains. An adaptive control law is employed based on the knowledge obtained from the DDNP, without relying on prior information about the motion model parameters. A switching dynamic event-triggered mechanism (SDETM) is introduced, which can switch between fixed-threshold triggering mechanism and dynamic event-triggered mechanism (DETM). Through this SDETM, not only are communication resources conserved, but frequent updates of the control signal are also mitigated. The effectiveness of the proposed algorithm is validated through verification simulations. © 1967-2012 IEEE.

关键词： Model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

Global Asymptotic Stability Analysis for Autonomous Optimization

引用

IEEE Transactions on Automatic control 2025年

作者： Jin, Zhenghong Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore

This paper studies the feedback optimization problem for nonlinear systems. In particular, we assume that the controlled plant admits a global asymptotic stable equilibrium corresponding to each fixed reference input and consider a modified gradient-flow optimizer augmented with a nonlinear perturbation function. With the output map of the controlled plant satisfying a linear growth condition, this paper proves the existence of a perturbation function such that the resulting feedback optimization system is globally asymptotically stable at the desired equilibrium. The proof is based on the seamless integration of tools from the singular perturbation theory, input-to-state stability (ISS), and the nonlinear small-gain theorem. The possibility of extending the proposed approach to other optimizers is also discussed. Three numerical examples are employed to verify the effectiveness of the proposed method. © 1963-2012 IEEE.

关键词： Perturbation techniques

来源：评论

学校读者我要写书评

暂无评论

Classification on Point-cloud of Shoe-last Curvature using Weight-updated Boosting based Ensemble Learning

Classification on Point-cloud of Shoe-last Curvature using W...

引用

IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Zairan Li Dan Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University PR China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

Optimizing the curvature shape of shoe last is an important research content and a promising direction in current shoe-last design. The emergence of plantar pressure imaging method provided a new technical mean for shoe-last design. The point-cloud dataset was acquired from the plantar pressure experiments which may be used for generating comfort shoe-last curvature, and the key zones on last curvature may be classified and has potential benefit to the designers to produce comfort shoe. In this paper ensemble learning technologies are applied for classifying those points through the proposed weights-updated algorithms. The proposed weights-updated algorithm with boosting operation performed high effectiveness by comparing to k-NN, random forest (RF) and Bayers (NB) in classification accuracy. The proposed boosting based ensemble learning method will be potential applied in interactive design of industry and be beneficial to produce comfort shoes.

关键词： Training Machine learning algorithms Footwear Boosting Classification algorithms Statistics Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

Passive mechanical realizations of bicubic impedances with no more than five elements for inerter-based control design

arXiv

引用

arXiv 2021年

作者： Wang, Kai Chen, Michael Z.Q. Key Laboratory of Advanced Process Control for Light Industry Ministry of Education School of Internet of Things Engineering Jiangnan University Wuxi214122 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

This paper mainly investigates the passive realization problems of bicubic (third-order) impedances as damper-spring-inerter networks consisting of no more than five elements. First, the special case where a bicubic impedance contains a pole or a zero on the imaginary axis or at infinity is discussed. Then, assuming that there is no pole or zero on the imaginary axis or at infinity, the realizations of bicubic impedances as five-element networks are investigated. Necessary and sufficient conditions for the realizability as five-element series-parallel networks and as five-element non-series-parallel networks are derived, respectively, where 22 series-parallel configurations and 11 non-series-parallel configurations are presented to cover the conditions. Finally, two numerical examples together with positive-real controller designs for a quarter-car suspension system are presented for illustrations. The results of this paper can contribute to the synthesis of low-complexity passive mechanical (or electrical) networks, which are motivated by the synthesis and design of inerter-based vibration control systems. Copyright © 2021, The Authors. All rights reserved.

关键词： Poles

来源：评论

学校读者我要写书评

暂无评论

Manifold-aware and sparsity discriminant collaborative representation model and its application to multimode process monitoring

引用

Knowledge-Based Systems 2025年 324卷

作者： Fu, Yuanjian Xia, Fubing Ding, Jinliang Xu, Xue School of Control Science and Engineering Tiangong University Tianjin 300387 China Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tiangong University Tianjin 300387 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China School of Artificial Intelligence Tiangong University Tianjin 300387 China

Industrial processes are generally characterized by multiple operating modes from several factors, such as changes in market demand or raw material fluctuations, which pose challenges to traditional process monitoring. Existing multimode process monitoring primarily learns the distinct characteristics in each mode without collaboratively capturing the connections encapsulated across different modes. In this study, a novel multimode process monitoring approach, called the manifold-aware and sparsity discriminant collaborative representation model is proposed, which effectively captures the collaborative representation between and among modes, providing deeper insights into multimodal processes. The between-mode and within-mode affinity matrices were designed by considering the local information of the data to characterize the correlation between modes and the uniqueness of each mode, respectively. To faithfully reveal the characteristics of multimodal processes, a shared representation matrix was constructed to learn the common information among the different modes. Furthermore, the L1/2 norm was imposed on the projection matrix, enabling the proposed approach effective in selecting the key variables for monitoring tasks. On the basis of these distinct model characterizations, the proposed approach is powerful in learning informative representations of data, further enhances the process monitoring capability. In addition, contrastive clustering was introduced to divide the historical modes and identify the running-on modes of the new samples, thereby reducing the online identification time. The monitoring results for both the Tennessee Eastman process and three-phase flow facility demonstrate the effectiveness of the proposed approach, in which fault detection rate was improved by 6 %-26 % in most cases.

关键词： Discriminant analysis Multimode process monitoring Representation learning Sparse regularization

来源：评论

学校读者我要写书评

暂无评论

Preface

Lecture Notes in Control and Information Sciences

引用

Lecture Notes in control and Information Sciences 2023年 492卷 v-vi页

作者： Luan, Xiaoli He, Shuping Liu, Fei Key Laboratory of Advanced Process Control for Light Industry [Ministry of Education Institute of Automation Jiangnan University Jiangsu Wuxi China Key Laboratory of Intelligent Computing and Signal Processing [Ministry of Education School of Electrical Engineering and Automation Anhui University Anhui Hefei China

来源：评论

学校读者我要写书评

暂无评论

Robust Asynchronous Fuzzy Predictive Fault-Tolerant Tracking control for Nonlinear Multiphase Batch processes with Time-Varying Tracking Trajectories

Research Square

引用

Research Square 2021年

作者： Li, Hui Wang, Shiqi Shi, Huiyuan Su, Chengli Li, Ping School of Electronics and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Information and Control Engineering Liaoning Petrochemical University Fushun113001 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

A T-S model-dependent robust asynchronous fuzzy predictive fault-tolerant tracking control scheme is developed for nonlinear multiphase batch processes with time-varying tracking trajectories and actuator faults. Firstly, considering the influence of the mismatch between the previous phase state and the current phase controller during the switching, a T-S fuzzy switching model including the match and mismatch case is established. Depending on the fuzzy switching model, a robust fuzzy predictive fault-tolerant tracking controller is designed by considering the situation whether the model rules correspond to the controller rules. Secondly, using the related theories and methods, the system stability conditions presented by the linear matrix inequality considering the above conditions are provided to guarantee the stability of the system. By solving these stability conditions, the T-S fuzzy control law gain of each phase, the minimum running time of each match case and the maximum running time of each mismatch case are obtained. Then, through the maximum running time, the strategy of the switching signal in advance is adopted to avoid the occurrence of asynchronous switching, so as to ensure that the system can operate stably. Finally, the simulation results verify that the designed controller is effective and feasible. © 2021, CC BY.

关键词： controllers

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：