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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Ren, Junru Fisker-Bodker, Nis Guldenring, Ronja Chang, Jin Hyun Vegge, Tejs Ravn, Ole Nalpantidis, Lazaros Technical University of Denmark Automation and Control Group Department of Electrical and Photonics Engineering Denmark Technical University of Denmark Department of Energy Conversion and Storage Denmark

ISBN: (纸本)9798331531614

The rise of self-driving laboratories has seen significant growth across various research domains, particularly in chemistry, materials science and life science. However, a major challenge persists - the majority of self-driving systems are costly due to the use of highly precise lab equipment, robotic platforms, and case-specific algorithms, rendering these systems less accessible for educational purposes. This paper takes a multidisciplinary approach;we first introduce a small-scale self-driving experiment platform tailored for educational use, focusing on liquid materials mixing tasks commonly seen in chemistry and life sciences. To understand the operational status in real-time while maintaining self-driving capability and efficiency, we propose a novel system concept: employing a mobile robot as the lab supervisor to monitor the experiment process across multiple identical self-driving platforms. Specifically, this paper focuses on implementing a vision-based monitoring system. A deep learning architecture with a new training strategy is presented to jointly address two tasks: (a) vessel and content material segmentation and (b) volume estimation. The two tasks can be trained independently but can be inferred end-to-end by integrating them into the Mask R-CNN framework. Through evaluating the monitoring module on a real dataset, the results showcase promising detection capabilities, good real-time performance, and compatibility with the self-driving platform, indicating the feasibility of our proposed system. © 2025 IEEE.

关键词： Crystalline materials

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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem

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Complex System Modeling and Simulation 2025年第1期5卷 86-106页

作者： Juan Wang Guanghui Zhang Xiaoling Li Yanxiang Feng School of Information Science and Technology Hebei Agricultural UniversityBaoding 071001China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Electronics and Control Engineering Chang’an UniversityXi’an 710064China School of Automation Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China

In this research,a novel dynamic and heterogeneous identity based cooperative co-evolutionary algorithm(DHICCA)is proposed for addressing the distributed lot-streaming flowshop scheduling problem(DLSFSP)with the objective to minimize the makespan.A two-layer-vector representation is devised to bridge the solution space of DLSFSP and the search space of *** the evolution of DHICCA,population individuals are endowed with heterogeneous identities according to their quality,including superior individuals,ordinary individuals,and inferior individuals,which serve local exploitation,global exploration,and diversified restart,*** individuals with different identities require different evolutionary mechanisms to fully unleash their respective potentials,identity-specific evolutionary operators are devised to evolve them in a cooperative co-evolutionary *** is important to use limited population resources to solve complex optimization ***,exploitation is carried out on superior individuals by devising three exploitative operators with different intensities based on techniques of variable neighborhood,destruction-construction,and gene *** is executed on ordinary individuals by a newly constructed discrete Jaya algorithm and a probability crossover *** addition,restart is performed on inferior individuals to introduce new evolutionary individuals to the *** the cooperative co-evolution,all individuals with different identities are merged as a population again,and their identities are dynamically adjusted by new *** influence of parameters on the algorithm is investigated based on design-of-experiment and comprehensive computational experiments are used to evaluate the performance of all *** results validate the effectiveness of special designs and show that DHICCA performs more efficient than the existing state-of-the-art algorithms in solving the DLSFSP.

关键词： distributed flowshop scheduling lot-streaming scheduling identity division and merge heterogeneous evolution cooperative co-evolution

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Multi-User Cooperative Receive Scheme for Air-to-Ground Vortex Wave Communications

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China Communications 2025年第3期22卷 76-85页

作者： Zhang Beibei Chen Ruirui Lin Jinyang Li Qi Liang Liping Sun Yanjing School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Jiangsu Automation Research Institute Lianyungang 222061China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710071China

Orbital angular momentum(OAM)can achieve multifold increase of spectrum efficiency,but the hollow divergence characteristic and Line-of-Sight(LoS)path requirement impose the crucial challenges for vortex wave *** air-to-ground vortex wave communications,where there exists the LoS path,this paper proposes a multi-user cooperative receive(MUCR)scheme to break through the communication distance limitation caused by the characteristic of vortex wave hollow *** particular,we derive the optimal radial position corresponding to the maximum intensity,which is used to adjust the waist *** on the waist radius and energy ring,the cooperative ground users having the minimum angular square difference are ***,the signal compensation scheme is proposed to decompose OAM signals in air-to-ground vortex wave *** results are presented to verify the superiority of our proposed MUCR scheme.

关键词： air-to-ground capacity cooperative receive multi-user vortex wave communications

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Distributed Privacy-Preserving State-of-Charge Balance control for Multiple Energy Storage Systems in Smart Grid

Distributed Privacy-Preserving State-of-Charge Balance Contr...

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2023 China automation Congress, CAC 2023

作者： Liu, Weijia Guo, Fanghong Xing, Lantao Su, Hongye Wang, Lei College of Control Science and Engineering Zhejiang University Hangzhou China Zhejiang University of Technology Department of Automation Hangzhou China School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9798350303759

This paper studies the distributed state of charge (SoC) balance control strategy in battery energy storage systems (BESSs), satisfying privacy-preserving requirement of BESSs privacy-sensitive data, i.e., configurations and SoC, which may be transmitted among BESSs. Considering each BESS communicates with its neighboring BESS, we use a distributed dynamic average consensus algorithm to do parameter estimations. Using obtained parameters, we set proper power output of each BESS and maintains overall maximum capability. Different from common algorithms, this algorithm not only converges to the exact average of reference signals and thus help set control power outputs, but also ensures the desired differential privacy by adding zero mean Laplace noises, thus protecting privacy-sensitive data from possible adversaries. Effectiveness of the presented approach is demonstrated by simulations. © 2023 IEEE.

关键词： Charging (batteries)

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Dynamic Event-Triggered Fixed-Time Consensus Analysis of Multi-Agent Systems Under Input Delays and Switching Topologies 3

Dynamic Event-Triggered Fixed-Time Consensus Analysis of Mul...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Zhang, Yu Li, Yajing Ran, Guangtao Yu, Hao Ma, Guangfu Department of Automation Shenzhen518055 China Shanghai Institute of Aerospace System Engineering Shanghai200241 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China School of Automation Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9798331540319

This paper proposes a dynamic event-triggered control method for first-order multi-agent systems with input delays and disturbances under switching topologies. The controller design and its properties of dynamic event-triggered fixed-time consensus are presented in detail. Furthermore, agents can achieve consensus in a fixed time for any initial conditions and topologies that comply with the control protocol. Zeno behavior is avoided. Simulation examples demonstrate the effectiveness of the proposed algorithm and simulate scenarios in which the communication environment deteriorates due to external disturbances affecting the MASs. © 2024 IEEE.

关键词： Multi agent systems

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Sampled-Data Output Voltage Practical Tracking for Uninterruptible Power Supply Systems with Transmission Delays

Sampled-Data Output Voltage Practical Tracking for Uninterru...

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2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024

作者： Jia, Mengqi Liu, Wei 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: (纸本)9798331504755

This paper aims at addressing output voltage practi-cal tracking problem for uninterruptible power supply systems by devising an aperiodic sampled-data control scheme. We consider the presence of transmission delay in the input channel. We demonstrate that the problem can be solved by a predictor-based sampled-data dynamic output feedback control law. Moreover, the tracking error can converge to a prescribed neighborhood of the origin. © 2024 IEEE.

关键词： Delay control systems

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Multi-UAV Coverage Path Planning Method Based on Improved Particle Swarm Optimization

Multi-UAV Coverage Path Planning Method Based on Improved Pa...

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2024 China automation Congress, CAC 2024

作者： Zhou, Yan Xiong, Yonghua 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 Wuhan430074 China

ISBN: (纸本)9798350368604

The widespread application of unmanned aerial vehicle (UAV) has made the coverage path planning problem for multiple UAV systems a research hotspot. In this paper, we propose a multi-UAV solution to achieve complete coverage of multi-region. Based on this solution, we present an improved particle swarm optimization (PSO) algorithm that combines PSO algorithm, greedy strategy, and back-and-forth (BAF) algorithm. Its purpose is to plan the optimal paths for multi-UAV while achieving the shortest total distance and the highest UAV cooperation efficiency with the minimum number of UAVs, thereby enhancing the multi-UAV coverage cooperation and path optimization capabilities. Simulation results demonstrate the feasibility and superiority of this algorithm. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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A Learning-Based Path Planning Method for Spatial Robots

A Learning-Based Path Planning Method for Spatial Robots

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2023 China automation Congress, CAC 2023

作者： Zhang, Zhengpeng Ye, Jiayan Zhang, Jinkun Cheng, Yan School of Automation and Electronic Information Xiangtan University Hunan China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350303759

Space robots face challenges such as communication delays, unknown environmental information, complex terrain and obstacles, and energy constraints when performing path planning. To address the problem of high path costs in sampling-based path planning algorithms due to random sampling in unknown complex scenes, this paper proposes a learning-based path planning method for space robots. This method enables space robots to perform efficient and low-consumption path planning. It constructs a probabilistic network of end-to-end encoder-decoders, using U-net as the thematic framework. The probability distribution predicted by the network serves as the prior information for optimal path planning. Subsequently, the traditional sampling-based path planning algorithm is employed to plan the optimal path based on the probability guidance. Experimental results demonstrate that the method proposed in this paper exhibits superior overall performance in terms of path length, time cost, and memory utilization compared to the traditional RRTs algorithm and the existing CNN + bidirectional search algorithm. © 2023 IEEE.

关键词： Motion planning

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A blockchain-based transaction system for private data sharing and trading

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control Theory and Technology 2022年第3期20卷 291-302页

作者： Wei Cui Yu Pan Zhendong Ai School of Automation Science and Engineering South China University of TechnologyGuangzhou510640GuangdongChina College of Control Science and Engineering Zhejiang UniversityHangzhou310058ZhejiangChina

To address the private data management problems and realize privacy-preserving data sharing,a blockchain-based transaction system named Ecare featuring information transparency,fairness and scalability is *** proposed system formulates multiple private data access control strategies,and realizes data trading and sharing through on-chain transactions,which makes transaction records transparent and *** our system,the private data are encrypted,and the role-based account model ensures that access to the data requires owner’s ***,a new consensus protocol named Proof of Transactions(PoT)proposed by ourselves has been used to improve consensus *** value of Ecare is not only that it aggregates telemedicine,data transactions,and other features,but also that it translates these actions into transaction events stored in the blockchain,making them transparent and immutable to all *** proposed system can be extended to more general big data privacy protection and data transaction scenarios.

关键词： Private data sharing Blockchain Data access control Proof of Transactions

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Comparative Analysis of Production Functions of Complex Variables of the Predictive Model of Resource Support for the Process of Heat Generation

Comparative Analysis of Production Functions of Complex Vari...

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2023 IEEE International Conference on Smart Information Systems and Technologies, SIST 2023

作者： Bazil, Gulmira Mukhanov, Bakhyt Iskakova, Gulmira Orakbayev, Yerbol Almaty University of Power Engineering and Telecommunications Named after Gumarbek Daukeyev Department of Automation and Control Almaty Kazakhstan

ISBN: (纸本)9798350335040

The article presents methods for calculating the production function based on complex-valued economics. The uniqueness of the work lies in the fact that the production function is presented as a criterion for managing and forecasting heat supply. Data from the boiler plants of the heat supply company in Taldykurgan are used as initial data. As a result of the analysis, it was decided to use the production function of the complex argument, which will increase the number of process indicators and conduct a more complete analysis of the production of thermal energy. © 2023 IEEE.

关键词： Heat generation

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