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4th International Conference on control Theory and Applications, ICoCTA 2024

作者： Shi, Zhenyu Su, Qi Shanghai Jiao Tong University Ministry of Education of China Key Lab. of Syst. Contr. and Info. Proc. Shanghai Eng. Res. Ctr. of Intelligent Contr. and Mgmt. Department of Automation Shanghai200240 China

ISBN: (纸本)9798331506155

Network reciproc.ty has been recognized as a crucial mechanism for promoting the evolution of cooperation. However, prior studies on network reciproc.ty have predominantly focused on isolated networks, neglecting the interconnected nature of real-world systems. In reality, many large-scale systems are closely coupled, where the interaction patterns between systems differ significantly from those within individual networks. Motivated by this observation, we construct a strategy evolution model on coupled networks to explore the effects of such interconnections. Our findings reveal that coupled networks foster cooperation more effectively than isolated networks. This advantage persists across various network structures, suggesting the universality of this phenomenon. Interestingly, we discover that the strength of the coupling plays a pivotal role: weaker coupling between networks is more conducive to the emergence and stability of cooperation compared to stronger coupling. These results high-light the importance of considering cross-system interactions in understanding and designing mechanisms to enhance cooperative behavior. © 2024 IEEE.

关键词： Cooperation Coupled networks Evolutionary game theory

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Research on Crop Disease and Pest Surveillance based on Big Data and Image proc.ssing Technologies

Research on Crop Disease and Pest Surveillance based on Big ...

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2024 International Conference on Information Technology, Communication Ecosystem and Management, ITCEM 2024

作者： Yang, Yimei Yang, Yujun Shu, Huixia Zhao, Changhua Deng, Shaowei Huaihua418008 China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua418008 China Key Lab. of Wuling-Mt. Hlth. Big Data Intelligent Proc. and Applic. in Hunan Province Universities Huaihua Hunan418000 China

ISBN: (纸本)9798331542696

Recently, with the increasing complexity of agricultural systems and climate change, agricultural pest and disease surveillance and early detection have become critical tasks for guaranteeing food stability and promoting sustainable farming growth. Agricultural pest and disease surveillance is a key component of agricultural production, directly affecting crop yield and quality. As big data advances and image proc.ssing technologies rapidly, their application in crop pest and disease surveillance has become increasingly widespread. By integrating multi-source data, such as remote sensing data, meteorological data, ecological data, and pest and disease survey data, researchers can build more accurate and efficient pest and disease surveillance models. This paper reviews the research progress of big data and image proc.ssing technologies in crop pest and disease surveillance, analyzes the advantages and challenges of current technologies, and proposes future research directions to enhance the automation and intelligence of systems. Additionally, it discusses the integration of deep learning and other techniques to achieve efficient information mining and accurate retrieval of disaster-related data, aiming to provide scientific guidance and technical support for agricultural production. © 2024 IEEE.

关键词： Big Data Analysis Image proc.ssing Technology Pest and Disease Detection

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Personalized Learning Path Recommendation Driven by Multi-Modal Knowledge Graphs and Large Models Collab.ration

Personalized Learning Path Recommendation Driven by Multi-Mo...

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2024 International Conference on Information Technology, Communication Ecosystem and Management, ITCEM 2024

作者： Zhao, Changhua Yang, Yimei Yang, Yujun Tang, Bo Mi, Chunqiao Huaihua418008 China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua418008 China Key Lab. of Wuling-Mt. Hlth. Big Data Intelligent Proc. and Applic. in Hunan Province Universities Hunan Huaihua418000 China

ISBN: (纸本)9798331542696

This study examines ways to create personalized learning pathways that are influenced by large collab.rative models and multi-modal knowledge graphs. By integrating multi-modal data to construct a comprehensive knowledge network, this study utilizes the generative and comprehension capabilities of large models to achieve personalized customization of learning resources. The focus of the research is on accurately depicting learner characteristics through multi-modal profiling techniques, ensuring the transparency and credibility of the content generated by large models. The personalized learning route suggestion model proposed in this paper includes two parts: recommendations for learning paths within courses and recommendations for learning paths within learning tasks, aiming to enhance learning efficiency and outcomes through the collab.rative effects of multi-modal knowledge graphs and large models. Experimental results indicate that the learning path recommendation model driven by multi-modal knowledge graphs and large collab.rative models performs excellently in improving learning outcomes and recommendation performance. © 2024 IEEE.

关键词： Collab.rative learning

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Nonlinear Active Disturbance Rejection control for Vehicle Active Suspension System 3

Nonlinear Active Disturbance Rejection Control for Vehicle A...

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3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Dai, Xianglian Zhao, Chunzhe Xu, Rong Chongqing Three Gorges University School of Electronics and Information Engineering Wanzhou China Chongqing Three Gorges University Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology Key Lab. of Intelligent Info. Proc. and Contr. of Chongqing Munic. Institutions of Higher Education Wanzhou China

ISBN: (纸本)9798350316674

Nonlinear active disturbance rejection control (ADRC) is designed for the suspension system of the quarter vehicle model with the two-degree freedom. It is compared with other active suspension systems based on PID and linear ADRC scheme. The variance of the errors reveals that the nonlinear ADRC suspension system promotes the vehicle acceleration, the suspension dynamic disturbance, and wheel dynamic load. © 2023 IEEE.

关键词： active disturbance rejection control active suspension system extended state observe tracking differentiator

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Design of Adaptive control System for Intake Air Volume of Piston Compressor Based on Fuzzy Neural Network PID controller 3

Design of Adaptive Control System for Intake Air Volume of P...

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3rd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Yuheng, Han Qiu, Xia Guangzhong, Hu Ping, Wang Sichuan University of Science & Engineering College of Mechanical Engineering Yibin China Sichuan University of Science & Engineering Sichuan Provincial Key Lab of Process Equipment and Control College of Mechanical Engineering Yibin China Sichuan University of Science & Engineering Key Lab. of Adv. Mfg. Technol. of Panzhihua City Sichuan Prov. Key Lab of Proc. Equip. and Control College of Mechanical Engineering Yibin China

ISBN: (纸本)9798350398410

Piston compressors are widely used in chemical industry and other fields. At present, the market puts forward a working condition requirement for piston compressor to adapt to the change of intake air volume. However, the classical PID control has shortcomings in stability time, anti-interference and PID parameter online tuning, which does not meet the requirements of working conditions. Therefore, this paper designs the adaptive control system of the intake air volume of the piston compressor according to the variable speed air volume regulation strategy and establishes a mathematical model. Using BP neural network and fuzzy control theory, a fuzzy neural network PID controller is built. Using Matlab.Simulink, a step response simulation experiment is carried out. Using C# language, the upper computer of the system is programmed. The simulation results show that the stability time of the intake air volume adaptive control system based on the fuzzy neural network PID controller is 1.63 seconds, which is 0.55 seconds and 1.6 seconds faster than that of the intake air volume adaptive control system based on the adaptive fuzzy PID controller and the classical PID controller respectively, and its anti-interference ability is stronger, which is more suitable for the realization of the intake air volume adaptive control system controller under this working condition. © 2023 IEEE.

关键词： Fuzzy neural networks

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Weakly-supervised temporal action localization through local-global background modeling

arXiv

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arXiv 2021年

作者： Wang, Xiang Qing, Zhiwu Huang, Ziyuan Feng, Yutong Zhang, Shiwei Jiang, Jianwen Tang, Mingqian Shao, Yuanjie Sang, Nong Key Lab. of Image Proc. and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China

Weakly-Supervised Temporal Action Localization (WSTAL) task aims to recognize and localize temporal starts and ends of action instances in an untrimmed video with only video-level lab.l supervision. Due to lack of negative samples of background category, it is difficult for the network to separate foreground and background, resulting in poor detection performance. In this report, we present our 2021 HACS Challenge-Weakly-supervised Learning Track [24] solution that based on BaSNet [10] to address above problem. Specifically, we first adopt pre-trained CSN [17], Slowfast [5], TDN [19], and ViViT [1] as feature extractors to get feature sequences. Then our proposed Local-Global Background Modeling Network (LGBM-Net) is trained to localize instances by using only video-level lab.ls based on Multi-Instance Learning (MIL). Finally, we ensemble multiple models to get the final detection results and reach 22.45% mAP on the test set. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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Blockchain-Based Homomorphic Transaction Framework for Enhanced Consumer Security and Business Scalab.lity

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IEEE Transactions on Consumer Electronics 2024年

作者： Guo, Tao Shang, Fengjun Dai, Xiangguang Liu, Qilie Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing400065 China Chongqing Three Gorges University Key Lab. of Intelligent Info. Proc. and Contr. of Chongqing Munic. Institutions of Higher Education Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology School of Three Gorges Artificial Intelligence Chongqing400044 China Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China

Energy trading in distributed microgrids represents an effective means of enhancing the utilization of renewable energy. However, the aggregation of large-scale consumption data may encounter business scalab.lity issues and potential privacy exposure concerns, necessitating the development of novel secure and scalab.e frameworks for integrating consumption demands between prosumer and microgrid entities. we research focuses on providing a user-friendly transaction model for consumers and microgrid operators. Firstly, a privacy aggregation scheme for user resource requests is designed to ensure the security and decentralization of user data. In addition, the model employs a bidirectional heterogeneous resource allocation mechanism to support the optimal allocation of multiple resources, such as renewable energy, power assets, energy storage devices, and carbon credits, among different microgrids. Finally, a microgrid transaction prototype has been constructed on the Truffle development framework. In this context, smart contracts has been designed to ensure that the transactions are carried out automatically. Experimental results indicate that the scheme provides enhanced security for multi-resource trading in a cluster context relative to existing methodologies. The number of transactions increases linearly with the resource overhead, resulting in more efficient utilization of energy trading. Furthermore, the framework's scalab.lity has been demonstrated through both temporal and spatial considerations. © 1975-2011 IEEE.

关键词： Decentralized finance

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Hamilton-Jacobi-Bellman equations for Fuzzy-Dual Optimization 36

Hamilton-Jacobi-Bellman equations for Fuzzy-Dual Optimizatio...

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第36届中国控制会议

作者： Lunlong Zhong Felix Mora-Camino Hakim Bouadi Roger Marcelin Faye Key Lab. for Adv.Signal Proc. Civil Aviation University of China Automation Research Group ENACToulouse University

ISBN: (纸本)9781538629185

In this article, after introducing fuzzy-dual numbers, functions and functionals, the optimization of a fuzy-dual functional is considered through an extension of Euler’s condition. Then, once uncertainty is imbedded in a fuzzy-dual dynamical system, the optimization of such systems is considered, leading to an extended Hamilton-Jacobi-Bellman equation to characterize optimal fuzzy-dual solutions.

关键词： fuzzy-dual numbers uncertain systems Euler’s equation optimal control Hamilton-Jacobi-Bellman equation

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controller design and sensitivity analysis for active disturbance rejection control

Boletin Tecnico/Technical Bulletin

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Boletin Tecnico/Technical Bulletin 2017年第19期55卷 505-513页

作者： Zhao, Chunzhe Xu, Rong Xiong, Jiang Xiao, Yanxia Key Lab. of Intelligent Info. Proc. and Contr. of Chongqing Munic. Institutions of Higher Education Chongqing Three Gorges University Wanzhou Chongqing404100 China Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology Chongqing Three Gorges University Wanzhou Chongqing404100 China

The sensitivity function is discussed for the linear time-invariant SISO minimum-phase system with unknown order and uncertain relative degree, which is under the active disturbance rejection control (ADRC). The design of the ADRC scheme is also discussed. It is proved that ADRC can guarantee the closed-loop stability when the relative degree of the system is bounded. The numerical examples demonstrate that the ADRC scheme can be applied to the different systems without retuning the parameters.

关键词： Sensitivity analysis

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Adaptive Optimal Trajectory Tracking control of Non-Affine Nonlinear System

Adaptive Optimal Trajectory Tracking Control of Non-Affine N...

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International Conference on control, automation, Robotics & Vision

作者： Haoping Wang Yang Tian Christian Vasseur Sino-French J. Lab. Autom. Contr. Signal Proc. (LaFCAS) School of Automation Nanjing University of Science and Technology Nanjing 210094 China LAGIS and LaFCAS Lab. UFR d'IEEA Lille University of Science and Technology Villeneuve d'Ascq 65600 France

ISBN: (纸本)9781479952007

This paper presents a new adaptive nonlinear control for trajectory tracking of non-affine nonlinear systems. The referred proposed controller which is based on a L_2 norm prescribed to minimize a trajectory tracking error has adaptive and optimal characters. Moreover with the systems output feedback, the proposed controller which dose not require any knowledge of nonlinear internal dynamics can be adopted to a recursive control structure and ensures the trajectory tracking of systems output. Finally, to validate the proposed method, an illustrative numerical example validates the controller performance and robustness.

关键词： trajectory tracking affine nonlinear system Self tuning Nonlinear systems control Architecture controllers

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