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2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

作者： Birs, Isabela Muresan, Cristina Nascu, Ioan De Keyser, Robin Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania DySC Research Group on Dynamical Systems and Control Ghent University Ghent Belgium

ISBN: (纸本)9781665412629

Event-based Proportional Integral Derivative controllers are a non-standard approach of implementing classical PID controllers. The main advantage of this implementation choice is the reduced control effort, a useful feature in industrial applications, the kingdom of the PID control. The present study combines two important industrial traits: the PID autotuner to facilitate the engineer's task and its event based implementation to optimize resources such as CPU and bandwidth. The paper provides the tuning methodology of an event-based PID controller using the KC autotuner method. A highly nonlinear real-life vertical take-off and landing platform is used as a case study to implement the event-based PID as well as the classical, discrete PID. The performance of both controllers is assessed in order to experimentally determine whether the event-based approach is a viable solution for real-life implementations. © 2021 IEEE.

关键词： Three term control systems

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A Collaboration Evaluation Method for Substation Protection and Monitoring System Based on G1 Method and Expert Investigation 3

A Collaboration Evaluation Method for Substation Protection ...

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3rd International Conference on New Energy and Power Engineering, ICNEPE 2023

作者： Yan, Yuxiang Deng, Xiongyao Yu, Xinyang Ma, Shizhong Xue, Ancheng Chang, Naichao Wang, Shenqiang Zhang, Long Li, Zhongqing Meng, Jiangwen Fan, Chen Teng, Jingyu Zheng, Jingrong North China Electric Power University Beijing China National Electric Power Dispatching and Control Center of State Grid Corporation of China Beijing China Beijing Sifang Engineering Co. Ltd. Beijing China China Electric Power Research Institute Beijing China China Electric Power Research Institute Power Automation Department Nanjing China Nari Technology Nanjing Control Systems Co. Ltd. Nanjing China

ISBN: (纸本)9798350393224

The substation is the core facility of the power system. The interaction and coordination of different equipment in the protection and monitoring system(PMS) directly affects the working efficiency and stable operation of the system. However, the current protection and monitoring system of substation(SPMS) generally lacks evaluation method for collaboration. To the above problems, this paper proposes an evaluation method for collaboration in S-PMS based on the G1 method. Firstly, according to the requirements of the coordination for PMS, the corresponding indicators are proposed to form the index system for evaluating the coordination. Then, combined with G1 method, a comprehensive collaboration evaluation model is constructed. Finally, the coordination of two different structures of substations is evaluated and analyzed, and the feasibility of the evaluation method is verified. © 2023 IEEE.

关键词： Collaboration evaluation G1 method Protection and monitoring system

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A new result for H∞ performance analysis of sampled-data systems via looped-functionals

A new result for H∞ performance analysis of sampled-data sy...

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第41届中国控制会议

作者： Du Xiong Wen-Hu Chen Yong-He Lao Yu-Long Fan Chuan-Ke Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper is concerned with H performance analysis of aperiodic sampled-data systems by employing the input delay ***,a novel augmented looped-functional（ALF） is presented under the double-side looped-functional technique,which considers coupled relationships among state vectors more fully than the current ***,by using the BesselLegendre inequality to estimate the derivative of the ALF,a stability criterion is derived in the form of linear matrix ***,a numerical example demonstrates the effectiveness and the advantages of the proposed criterion by comparing it with the existing ones.

关键词： Aperiodic sampled-data systems Stability analysis Input delay approach H_∞ performance Bessel-Legendre inequality

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Robust flocking for non-identical second-order nonlinear multi-agent systems

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Autonomous Intelligent systems 2021年第1期1卷 81-90页

作者： Xiuxian Li Housheng Su Li Li Department of Control Science and Engineering College of Electronics and Information Engineeringand Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 200092China Institute for Advanced Study Tongji UniversityShanghai 200092China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of ChinaHuazhong University of Science and TechnologyLuoyu Road 1037Wuhan 430074China

This paper investigates the robust flocking problem for second-order nonlinear systems with a leader and external *** contrast with most of second-order systems in the literature,the intrinsic dynamics here are nonlinear and non-identical that depend not only on the velocity but also on the position,which is more ***,the interaction topology is undirected and *** that the leader’s velocity may be constant or time-varying,two distributed flocking control laws have been proposed for two cases to make the differences of the velocities between all followers and the leader approach to zero *** proposed distributed flocking control laws are both model-independent which results in the effectiveness of the controllers to cope with the different intrinsic dynamics of the followers and the leader under some assumptions on boundedness of several *** example is given to illustrate the validity of the theoretical results.

关键词： Flocking Multi-agent systems Second-order nonlinear systems Non-identical dynamics

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Design of a Novel Autonomous Docking System With a Supporting Robotic Fish

Design of a Novel Autonomous Docking System With a Supportin...

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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Dong, Huijie Zhao, Chunyang Qiao, Tiezhu Wang, Jian Chen, Di Meng, Yan Yu, Junzhi Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan030024 China Chinese Academy of Sciences Laboratory of Cognitive and Decision Intelligence for Complex System Institute of Automation Beijing100190 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China Guangdong Ocean University College of Electronics and Information Engineering Zhanjiang524088 China

ISBN: (纸本)9798350327182

Underwater supporting robots serving as a relay of energy supplements and communication for other underwater equipment are promising for ocean exploration, development, and protection. This paper proposes a novel autonomous docking system centered on a designed supporting robotic fish named 'CourierFish'. Specifically, CourierFish is capable of docking with a surface dock station for supplying itself and docking with a seafloor platform for supporting equipment in the platform. A visual navigation scheme integrating LED and ArUco markers is presented for accurate localization. The control approach for docking motion is also illustrated. Simulations and aquatic experiments are performed to verify the feasibility of the proposed docking system. The obtained results lay a solid foundation for the construction of various underwater equipment and robot networks. © 2023 IEEE.

关键词： Fish

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control Barrier Function Based Visual Servoing for Underwater Vehicle Manipulator systems under Operational Constraints

Control Barrier Function Based Visual Servoing for Underwate...

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Mediterranean Conference on control and automation (MED)

作者： Shahab Heshmati-Alamdari George C. Karras Maryam Sharifi George K. Fourlas Department of Electronic Systems Section of Automation & Control Aalborg University Denmark ABB Corporate Research Västerås Sweden Department of Informatics and Telecommunications University of Thessaly Lamia Greece

This paper presents a novel control strategy for image-based visual servoing (IBVS) of underwater vehicle manipulator systems (UVMS) using control barrier functions (CBFs) to handle field of view (FoV) constraints and system’s operational limitations such as manipulator joint limits and vehicle velocity performances. The proposed approach combines the advantages of IBVS, which provides visual feedback for control, with CBFs, which can formally enforce visibility and safety constraints on the UVMS’s motion. A CBF-based control law is derived and integrated with the IBVS algorithm, which guarantees the satisfaction of FoV and system’s operational constraints and ensure stability of the closed-loop system. To deal with FoV constraints, the proposed method uses a FoV index to estimate the degree of visibility of the scene, which is used to adjust the control inputs accordingly. The effectiveness of the proposed strategy is demonstrated through realistic simulation results, showing improved performance and safety of the UVMS under FoV and operational constraints compared to traditional IBVS methods. The results indicate that the proposed approach can handle the challenging underwater environment, UVMS dynamics and the operational constraints effectively, making it a valuable control strategy for practical applications of UVMS.

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Surface Defect Detection of Sanitary Ceramic Product Utilizing High-resolution Image on Two Different Scales

Surface Defect Detection of Sanitary Ceramic Product Utilizi...

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第34届中国控制与决策会议

作者： Xing-ao Wang Jianqi An Yisheng Mei Xin Chen Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Surface defect detection of sanitary ceramic products is an important part of the production *** deep learning method is the mainstream research direction in the field of defect *** there are many small defects on the surface of sanitary ceramic products,it is an effective means to use a high-resolution camera to obtain *** detection speed of high-resolution pictures and the interference of background are the difficult problems in ***,this paper designs a two-scale detection framework to detect and locate defects of sanitary ceramics utilizing high-resolution *** two-scale detection framework speeds up the detection of high-resolution images and weakens the interference of the background by dividing the defect detection task into two parts,a workpiece region recognition task on large scale and a defect detection task on small *** experiments show that the two-scale detection method has a better detection speed and accuracy rate compared with the single-scale method,which proves the superiority of the proposed method.

关键词： Defect detection Two-scale detection Deep learning

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Improving Disturbance-Rejection Performance Using Combination of Sliding-Mode control and Equivalent-Input-Disturbance Approach 48

Improving Disturbance-Rejection Performance Using Combinatio...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Wang, Zewen She, Jinhua Sato, Daiki School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China Kanagawa Yokohama226-8503 Japan Tokyo University of Technology School of Engineering Tokyo Hachioji192-0982 Japan

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This paper combines the equivalent-input-disturbance (EID) approach with the sliding-mode control (SMC) approach that improves disturbance-rejection performance. A novel equivalent-input-disturbance (NEID) approach is presented, which considers the disturbance estimation in the state observer. A sliding surface is designed based on the internal model principle, which is called internal-model sliding-mode control (IMSMC). A stability condition is devised for the SMC-EID-based control system. The parameters are designed based on the stability condition. Simulation results show the validity of the NEID approach. © 2022 IEEE.

关键词： Sliding mode control

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Deep Reinforcement Learning-Based Multi-Task Scheduling in Cloud Manufacturing Under Different Task Arrival Modes

Deep Reinforcement Learning-Based Multi-Task Scheduling in C...

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作者： Ping, Yaoyao Liu, Yongkui Zhang, Lin Wang, Lihui Xu, Xun School of Mechano-Electronic Engineering Xidian University Xi'an710071 China School of Automation Science and Electrical Engineering Engineering Research Center of Complex Product Advanced Manufacturing Systems Ministry of Education Beihang University Beijing100191 China Department of Production Engineering KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical Engineering The University of Auckland Auckland1142 New Zealand

Cloud manufacturing is a service-oriented networked manufacturing model that aims to provide manufacturing resources as services in an on-demand manner. Scheduling is one of the key techniques for cloud manufacturing to achieve the aim. Multi-task scheduling with dynamical task arrivals is a critical problem in cloud manufacturing. Many traditional algorithms such as the genetic algorithm (GA) and ant colony optimization algorithm (ACO) have been used to address the issue, which, however, either are incapable of or perform poorly in tackling the problem. Deep reinforcement learning (DRL) as the combination of deep learning (DL) and reinforcement learning (RL) provides an effective technique in this regard. In view of this, we employ a typical DRL algorithm - Deep Q-network (DQN) - and propose a DQN-based approach for multitask scheduling in cloud manufacturing. Three different task arrival modes - arriving at the same time, arriving in random batches, and arriving one by one sequentially - are considered. Four baseline methods including random scheduling, round-robin scheduling, earliest scheduling, and minimum execution time (min-time) scheduling are investigated. A comparison of results indicates that the DQN-based scheduling approach is effective and performs best among all approaches in addressing the multitask scheduling problem in cloud manufacturing. © 2023 by ASME.

关键词： Deep reinforcement learning

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When Does Sora Show:The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 809-815页

作者： Fei-Yue Wang Qinghai Miao Lingxi Li Qinghua Ni Xuan Li Juanjuan Li Lili Fan Yonglin Tian Qing-Long Han School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Department of Electrical and Computer Engineering Indiana University-Purdue University IndianapolisIndianapolisIN 46202USA Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

DURING our discussion at workshops for writing“What Does ChatGPT Say:The DAO from Algorithmic Intelligence to Linguistic Intelligence”[1],we had expected the next milestone for Artificial Intelligence(AI)would be in the direction of Imaginative Intelligence(II),i.e.,something similar to automatic wordsto-videos generation or intelligent digital movies/theater technology that could be used for conducting new“Artificiofactual Experiments”[2]to replace conventional“Counterfactual Experiments”in scientific research and technical development for both natural and social studies[2]-[6].Now we have OpenAI’s Sora,so soon,but this is not the final,actually far away,and it is just the beginning.

关键词： something Intelligence replace

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