检索结果-内蒙古大学图书馆

Fixed-Time Adaptive Tracking Event-Based control for Uncertain Stochastic Nonlinear Systems With Output Constraints

International Journal of Robust and Nonlinear control 2025年第0期

作者： Wang, Kun Xie, Liping Yuan, Yixuan Zhang, Kanjian Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China

This paper focuses on an adaptive fixed-time tracking control problem for nonstrict-feedback stochastic nonlinear systems with unknown control coefficients and output constraints. To overcome this problem, this article introduces a unified system transformation function to facilitate the transition of the system from constrained to unconstrained states. Subsequently, a fuzzy approximation principle is utilized for handling unknown terms in the transformed system, while Nussbaum functions are employed to manage unknown control directions. Then, combined with the backstepping technique, an adaptive fixed-time tracking controller is designed with an event-triggered mechanism, which not only achieves the convergence of tracking errors within a limited time independent of initial states, but also conserves resources. Under the proposed tracking controller, practical fixed-time stability can be ensured for the closed-loop system. Finally, two simulation examples demonstrate the efficacy of the proposed scheme. © 2025 John Wiley & Sons Ltd.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Safety-Certified Distributed Formation control of Networked Autonomous Surface Vehicles by Unifying control Lyapunov and control Barrier Functions

引用

Journal of Systems Science & Complexity 2025年第2期38卷 837-856页

作者： CONG Siming GU Nan WANG Haoliang WANG Dan PENG Zhouhua School of Marine Electrical Engineering Dalian Maritime University State Key Laboratory of Maritime Technology and Safety Dalian Maritime University Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships School of Marine Engineering Dalian Maritime University Department of Automation Shanghai Jiaotong University Dalian KeyLaboratory of Swarm Control and Electrical Technology for Intelligent Ships

This paper investigates the path-guided distributed formation control of networked autonomous surface vehicles(ASVs) subject to model uncertainties and environmental disturbances. A safety-certified path-guided coordinated control method is proposed for multiple ASVs to achieve a distributed formation in obstacle environments. Specifically, a neural predictor with a high-order tuner is presented to approximate unknown nonlinearities with accelerated learning performance. Subsequently, control Lyapunov functions(CLFs) and control barrier functions(CBFs) are constructed for mapping stability constraints and safety constraints on states to control inputs. A quadratic optimization problem is constructed with the norm of control inputs as the objective function, CLFs and CBFs as constraints. Neurodynamic optimization is used to deal with the quadratic programming problem and generate the optimal kinetic control signals, thereby attaining the desired safe formation. Unlike the high-order CBF, a CBF backstepping method is proposed to establish safety constraints such that repeated time derivatives of system nonlinearities can be avoided. The multi-ASVs system is ensured to be input-to-state safe irrespective of high-order relative degree. Through the Lyapunov theory, the multi-ASVs system is proven to be input-to-state stable. Finally, simulation results are presented to validate the efficacy of the presented safety-certified distributed formation control for networked ASVs.

关键词： Autonomous surface vehicles control barrier functions neurodynamic optimization path-guided formation control safety-certified control

来源：评论

学校读者我要写书评

暂无评论

Liquid refractive index measurement method based on orthogonal polarization laser self-mixing interference

引用

Optoelectronics Letters 2025年

作者： ZHAO Yan WANG Haipeng DU Shengzhi TONG Jigang KANG Jun School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Department of Electrical Engineering， Tshwane University of Technology

In this paper， a novel method combining orthogonal polarization laser self-mixing interference is proposed. The method utilizes a rotating cuvette to measure the refractive index of liquids at different concentrations. The cuvette is filled with the liquid to be measured and rotated by a certain angle. The change in the number of interference fringes， caused by comparing an empty cuvette with a liquid-filled cuvette， is used to calculate the refractive index of the liquid. A four-fold logic subdivision algorithm is then used to improve measurement resolution. The experimental results show that for pure water and different NaCl and glucose solutions concentrations， the average relative errors are 0.47%， 0.59%， and 2.17%， respectively， with the maximum relative error within ±2.54%. The standard deviation of all solutions is less than 3.4%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-UAV Energy-Efficient Detection Coverage Under Jamming Environment: A Hierarchical Collaborative Learning Approach

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Fang, Chao Feng, Yanxiang Li, Xiaoling Yang, Yikang Xi'an Jiaotong University School of Automation Science and Engineering Xi'an710049 China Chang'an University School of Electronics and Control Engineering Xi'an710064 China

Unmanned aerial vehicles (UAVs) can provide detection coverage service in many scenarios. The fair coverage is achieved by designing carefully UAVs' trajectories, which are established at each step by choosing the moving action and channel access for transmitting data. However, under the jamming environment, the problematic trajectories could lead to mutual interference and malicious jamming, such that the coverage service fails. The selections of moving action and channel access are usually coupled, and so far no work has addressed them jointly for planning trajectory. As such, this paper investigates the multi-UAV joint optimization of moving action and channel access for the energy-efficient detection coverage. To decouple the strongly-coupled moving action and channel access, we model the studied optimization problem as a hierarchical game, where the stochastic game (resp. potential game) is applied for selecting moving action (resp. channel access). Then, we propose a multi-agent hierarchical cooperative learning (MAHCL) algorithm to attain near-optimal solution for the joint optimization. It is proved that the proposed MAHCL algorithm can asymptotically converge to the near-optimal joint strategy with lower computational complexity. Finally, the simulation results show the higher energy efficiency of MAHCL algorithm compared with the benchmarks. © 1967-2012 IEEE.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Design and Evaluation of a Novel Masked Face Feature Model for Face Recognition on Service Robot 24

Design and Evaluation of a Novel Masked Face Feature Model f...

引用

2nd International Conference on Frontiers of Intelligent Manufacturing and automation, CFIMA 2024

作者： Zhang, Yunxi Wu, Jiabao Zhao, Ya Wang, Zihan Liu, Jia Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin China School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Qingdao City University Shandong China

ISBN: (纸本)9798400710681

Traditional face recognition techniques exhibit suboptimal accuracy when dealing with faces occluded by masks, particularly posing a challenge for masked face identification. Considering the application characteristics of the service robot, this paper proposes a face recognition method based on a special obscured face feature model. By leveraging the unique characteristics of masked faces, we construct a new feature model and curate a diverse dataset encompassing faces wearing both N95 and common medical masks, thereby enhancing the representativeness and variability of the dataset. Employing a cascade regression tree method for training and parameter tuning, we obtain an optimized regressor with minimal error. Face recognition is achieved through comparing feature vectors using Euclidean distance. Extensive testing on the curated dataset demonstrates the effectiveness of our proposed method, not only validating its superiority over traditional techniques but also showcasing its improved success rate in masked face recognition. © 2024 Copyright held by the owner/author(s).

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

1-Hour Ahead Wind Power Prediction Based on Multi-model Fusion Strategy 19th

1-Hour Ahead Wind Power Prediction Based on Multi-model Fusi...

引用

19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhang, Tengyu Di, Shuai Wang, Xu Zhu, Deyu Ren, Xiaochen School of Electrical Engineering and Automation Harbin Institute of Technology Heilongjiang Harbin China Institute of Thermal Control Technology Datang Northeast Electric Power Test and Research Institute Co. Ltd. Jilin Changchun China

ISBN: (纸本)9789819613861

The accuracy of wind power prediction is of great significance for optimizing power system scheduling and improving power output stability. In order to solve the established difficulties in wind prediction, a prediction method combining multiple models is proposed with the aim of realizing a high-precision wind prediction strategy up to 1 hour in advance. Firstly, the raw wind power data is preprocessed. Secondly, the comprehensive feature se-lection (CFS) algorithm is used to calculate the sum of the importance of each feature variable, and the input set of asynchronous eldest child models corresponding to the target feature is selected. Then, the adaptive noise complete set empirical mode decomposition algorithm (CEEMDAN) is used to decompose the wind power sequence, and each component after decomposition is modeled separately. The comparative analysis of a series of experimental methods shows that the method proposed in this study demonstrates excellent prediction accuracy and stable performance in the field of multi-step wind energy prediction. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Wind forecasting

来源：评论

学校读者我要写书评

暂无评论

Weak feedback self-mixing interference fringe slope discrimination method based on deep learning

引用

Optoelectronics Letters 2025年

作者： ZHAO Yan LIN Maohua DU Shengzhi TONG Jigang LIU Bin HAN Fangfang School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Department of Electrical Engineering， Tshwane University of Technology

In order to identify the tilt direction of the self-mixing interference (SMI) signals under weak feedback regime interfered by noise， a deep learning method is proposed. The one-dimensional U-Net (1D U-Net) neural network can discriminate the direction of self-mixing fringes accurately and quickly. For experimental SMI signals， the 1D U-Net can be used for discriminant direction after a one-step normalization. Simulation and experimental results show that the proposed method is suitable for SMI signals with noise within the whole weak feedback regime， and can maintain a high discrimination accuracy for signals interfered by 5dB noise. Combined with fringe counting method， accurate and rapid SMI signal displacement reconstruction can be realized.

关键词：

来源：评论

学校读者我要写书评

暂无评论

USDE-Based Task-Space Bilateral Teleoperator control Design with Time Delay 16th

USDE-Based Task-Space Bilateral Teleoperator Control Design ...

引用

16th International Conference on Modelling, Identification and control, ICMIC 2024

作者： Luo, Xin Ma, Jun Wang, Xian Na, Jing Xing, Yashan Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming University of Science and Technology Kunming650500 China

ISBN: (纸本)9789819617760

In this paper, we present a control strategy for bilateral teleoperators operated in the task space, which is designed to estimate the uncertain dynamics. To implement this proposed strategy, we develop a straightforward yet robust unknown system dynamics estimator (USDE) by incorporating a low-pass filtering operation. By using the USDE, we can eliminate the impact of unmodeled system dynamics without the need to measure the acceleration signal. Furthermore, the proposed USDE offers the advantages of requiring only one tuning parameter and being easily adjustable compared to conventional estimators. The convergence of the estimation error associated with the unmodeled system dynamics and the stability of the closed-loop control system are both rigorously demonstrated through Lyapunov’s theorem. Ultimately, the superior performance of our method, as evidenced by enhancing motion synchronization and stability, is confirmed through simulation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Time delay

来源：评论

学校读者我要写书评

暂无评论

Consensus controllability for Node and Edge Multiagent Systems

引用

IEEE Transactions on control of Network Systems 2025年

作者： Kang, Lifan Ji, Zhijian Liu, Yungang Lin, Chong Qingdao University Institute of Complexity Science College of Automation China Shandong Key Laboratory of Industrial Control Technology China Shandong University School of Control Science and Engineering China

The multiagent controllability of both node and edge dynamics depends on the communication topology, leader selection, as well as the weight adjustments. This paper deals with the controllability relationship between node dynamics and edge dynamics using an edge dynamics model that describes the states of nodes and edges. According to the number of nodes N and edges M , topology graphs are divided into three categories: N > M , N = M , and N M , the uncontrollable node and edge dynamics are converted to a controllable situation by adding leaders or adjusting weights. Finally, algorithms are provided to validate the effectiveness of the outcomes. © 2025 IEEE. All rights reserved.

关键词： controllability

来源：评论

学校读者我要写书评

暂无评论

SKE-MSA: Enhancing Representation Learning with VAD Lexicon for Multimodal Sentiment Analysis

SKE-MSA: Enhancing Representation Learning with VAD Lexicon ...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yang Yang Xunde Dong Yupeng Qiang Wenjie Si School of Automation Science and Engineering South China University of Technology School of Electrical and Control Engineering Henan University of Urban Construction

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Most existing Multimodal Sentiment Analysis (MSA) models that are enhanced with external sentiment knowledge primarily focus on integrating this knowledge during the multimodal fusion stage, while overlooking its potential benefits during the multimodal representation learning process. In this study, we propose a Sentiment Knowledge-Enhanced Multimodal Sentiment Analysis (SKE-MSA) framework, which incorporates an external sentiment knowledge base—the VAD lexicon—to enhance MSA. SKE-MSA introduces the Sentiment-aware Encoding Loss (SAE_Loss), designed to leverage external sentiment knowledge to guide the representation learning of multimodal encoders. Building on this, we extract both common and unique features of multimodal representations and subsequently predict sentiment intensity based on these features. Extensive experiments conducted on three MSA datasets demonstrate the competitive performance of SKE-MSA.

关键词： Representation learning Sentiment analysis Knowledge based systems Buildings Lexicon Signal processing Feature extraction Encoding Data mining Speech processing

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：