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8th International Conference on Systems and Informatics, ICSAI 2022

作者： Xiao, Ruili Tong, Xiangrong Li, Yinggang Yantai University School of Computer and Control Engineering Yantai264005 China

ISBN: (纸本)9781665474481

It is essential to predict the level of trust among users before they interact to reduce the risk of interaction. Due to the sparsity of trust relationships, it is inefficient to simply use explicit trust relationships to predict the trust among users, and even the trust path may be lost. On the other hand, there are implicit trust relationships among users such as the joint items that several users all rated. Once the trust relationship is extracted, it will greatly expand the number of trusted users. To this end, a trust prediction method incorporating rating information is proposed to address this problem. It first constructs a heterogeneous information network consisting of social and rating information. Secondly, in the trust prediction period, if the user has no trusted users to choose from, the joint item is used as a bridge to find implicit trusted users from users who have jointly rated the item. Finally, the Dueling DQN algorithm is used to calculate the strength of the trust path, and the predicted trust value is derived by aggregating multiple trust paths based on an aggregation function. The experimental results on two datasets indicate the presented approach outperforms most existing trust prediction methods. © 2022 IEEE.

关键词： Forecasting

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Social Recommendation System Based on Multi-agent Deep Reinforcement Learning 8

Social Recommendation System Based on Multi-agent Deep Reinf...

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8th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2022

作者： Yinggang, Li Xiangrong, Tong Yantai University School of Computer and Control Engineering Yantai Shandong China

ISBN: (纸本)9781665477352

Currently, deep reinforcement learning is widely used to transform the recommendation process into a sequential task. Despite this, the recommendation system continues to be plagued by data sparsity and cold start issues as a result of high online costs and a sparse user-item rating matrix. To address the aforementioned issues, this article proposes a social multi-agent reinforcement learning framework (MATR). Two agents collaborate within the framework to enhance the performance of conventional solutions. Specifically, one agent is responsible for capturing the dynamic preferences of users based on their interaction with the system. The other agent leverages a ubiquitous social network to minimise cold starts and data sparsity for some users. In addition, we designed a module for learning state representations from social networks and user rating matrices. To optimise the use of social networks in the state representation module, in addition to first-order social neighbour features, we used trust inference to discover high-level social neighbour features, and we integrated Feature aggregation modelling state representation with graph convolutional neural networks and attention mechanisms. Our method has been shown to be effective and advantageous using actual data sets. © 2022 IEEE.

关键词： Reinforcement learning

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Optimal decarbonisation pathway for mining truck fleets

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Journal of Automation and Intelligence 2024年第3期3卷 129-143页

作者： Gang Yu Xianming Ye Yuxiang Ye Hongxu Huang Xiaohua Xia Department of Electrical Electronic and Computer EngineeringUniversity of PretoriaPretoria 0002South Africa School of Economics and Finance University of the WitwatersrandJohannesburg 2000South Africa School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China

The fossil fuel powered mining truck fleets can contribute up to 80%of total emissions in open pit *** study investigates the optimal decarbonisation pathway for mining truck ***,our proposed pathway incorporates power generation,negative carbon technologies,and carbon ***,financial,and environmental models of decarbonisation technologies are established,capturing regional variations and time dynamic characteristics such as cost trends and carbon capture *** dynamic natures of characteristics pose challenges for using the cost-effective analyses approach to find the optimal decarbonisation *** address this,we introduce a mixed-integer programming optimisation framework to find the decarbonisation pathway with minimum life cycle costs during the planning period.A case study for the optimal decarbonisation pathway of truck fleets in a South African coal mine is conducted to illustrate the applicability of the proposed *** indicate that the optimal decarbonisation pathway is significantly influenced by factors such as land cost,annual budget,and carbon trading *** proposed method provides invaluable guidance for transitioning towards a cleaner and more sustainable mining industry.

关键词： Coal mine Truck fleet Carbon emission Optimal decarbonisation pathway

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Dynamic event-triggered formation control of second-order nonholonomic systems

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Journal of Systems engineering and Electronics 2023年第2期34卷 501-514页

作者： WANG Xiaoyu SUN Sijia XIAO Feng YU Mei School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

In this paper,the formation control problem of secondorder nonholonomic mobile robot systems is investigated in a dynamic event-triggered ***-triggered control protocols combined with persistent excitation(PE)conditions are *** event-detecting processes,an inactive time is introduced after each sampling instant,which can ensure a positive minimum sampling *** increase the flexibility of the event-triggered scheme,internal dynamic variables are included in event-triggering ***,the dynamic event-triggered scheme plays an important role in increasing the lengths of time intervals between any two consecutive *** addition,event-triggered control protocols without forward and angular velocities are also presented based on approximate-differentiation(low-pass)*** asymptotic convergence results are given based on a nested Matrosov theorem and artificial sampling methods.

关键词： nonholonomic system dynamic event-triggered control consensus-based formation

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Experimental Study on Motion controller based on NN-ARX and ARMAX Actuator Identification for 3-DoF Delta Parallel Robot 11

Experimental Study on Motion Controller based on NN-ARX and ...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Jalali, Hasan Damavandi, Hossein Kalhor, Ahmad Masouleh, Mehdi Tale University of Tehran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering Tehran Iran Sadjad University Faculty of Computer Engineering and Information Technology Mashhad Iran University of Tehran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9798350308105

Today, system identification plays a pivotal role in control science and offering a myriad of applications. This paper places its focus on the identification of actuator models within real-world delta robots for informing controller design. Two identification methods, namely NN-ARX and ARMAX, have been employed to extract the dynamic characteristics of the robot actuators, resulting in dynamic models of these integral components being derived. These dynamic models have been utilized in simulations for controller design, and due to the disparities in the identification models, distinct controllers have been realized. Subsequently, these controllers have been practically implemented on delta robots, and their performances have been subjected to a comprehensive comparative analysis. The results demonstrate that controllers integrating the identified actuator models outperformed those designed without the incorporation of the identification models. In practice, the implementation of controllers based on NN-ARX yielded the most favorable results among all the tested controllers. This research not only underscores the importance of accurate actuator models in control system design but also highlights the superior performance of neural network-based controllers in real-world robotic applications. In particular, the practical results of NN-ARX-based controllers were able to achieve significantly lower RMSE of 2.3562, 1.9531, and 2.1185 for the three motors, respectively, as opposed to the 4.1369, 3.0125, and 3.0363 achieved by the ARMAX-based controllers. © 2023 IEEE.

关键词： controllers

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A Location Selection Method for Infected Areas Material Distribution Based on SIR Model and GA-K - means Algorithm

A Location Selection Method for Infected Areas Material Dist...

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2023 China Automation Congress, CAC 2023

作者： You, Jiangwei Jia, Jianfang Zhang, Wenwen Zhang, Jianguo Ren, Xiaoqing Dong, Yuanchang School of Electrical and Control Engineering North University of China Taiyuan China School of Computer Science and Technology North University of China Taiyuan China

ISBN: (纸本)9798350303759

The sudden outbreak of the COVID-19 pandemic has had a serious impact on the health and daily life of people. The problem of determining where to put household goods during an epidemic is particularly important. This paper proposes a siting method for the distribution of supplies in disaster area relief missions. Firstly, a qualitative analysis of the SIR prediction model for infectious diseases is established, and it is learned that how subsistence supplies are distributed has a direct impact on the direction of the number of infected people in the disaster area. Secondly, the entropy weight is applied to comprehensively evaluate the reasonableness of the number of material drop-off points. The optimal number, location, and size of drop-off points are determined by the GA-K-means clustering algorithm. This algorithm resulted in a 22.88% reduction in the overall number of task drop-off points. The average contour coefficient is then used to find the number and location of large-scale material sorting sites. The siting method for drop-off points provides practical implications for the solution of material or personnel deployment problems during various natural disasters. © 2023 IEEE.

关键词： Drops

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Performance analysis of UAV-based mixed underwater PLC-RF systems

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Digital Communications and Networks 2024年第5期10卷 1332-1340页

作者： Shenghai Chen Liang Yang Xianfu Lei College of Computer Science and Electronic Engineering Hunan UniversityChangsha410082China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua UniversityHuaihua418000China School of Information Science and Technology Southwest Jiaotong UniversityChengdu610031China

In this study,we analyzed the performance of an Unmanned Aerial Vehicle(UAV)-based mixed Underwater Power Line Communication-Radio Frequency(UPLC-RF)*** this network,a buoy located at the sea is used as a relay to transmit signals from the underwater signal source to the UAV through the PLC *** assume that the UPLC channel obeys a log-normal distribution and that the RF link follows the Rician *** this model,we obtained the closed-form expressions for the Outage Probability(OP),Average Bit-error-rate(ABER),and Average Channel Capacity(ACC).In addition,the asymptotic analysis of the OP and ABER was performed,and an upper bound for the average capacity was ***,the analytical results were verified by Monte Carlo simulation thereby demonstrating the effect of impulse noise and the altitude of the UAV on network performance.

关键词： ABER Average bit-error-rate ACC Average channel capacity OP Outage probability UAV Unmanned aerial vehicle UPLC Underwater power line communication

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Constrained multi-cluster game: Distributed Nash equilibrium seeking over directed graphs 63

Constrained multi-cluster game: Distributed Nash equilibrium...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Nguyen, Duong Thuy Anh Bianchi, Mattia Dorfler, Florian Nguyen, Duong Tung Nedic, Angelia Arizona State University Tempe School of Electrical Computer and Energy Engineering AZ United States Automatic Control Laboratory Eth Zürich Switzerland

ISBN: (纸本)9798350316339

Motivated by the complex dynamics of cooperative and competitive interactions within networked agent systems, multi-cluster games provide a framework for modeling the interconnected goals of self-interested clusters of agents. For this setup, the existing literature does not provide comprehensive gradient-based solutions that simultaneously address constraint sets and directed communication networks-both of which are essential for many practical applications-due to the complexities posed by the projection and the imbalanced mixing matrix. To address this gap, this paper proposes a distributed Nash equilibrium seeking algorithm that integrates consensus-based methods and gradient-tracking techniques, utilizing row-stochastic weight matrices for inter-cluster communication and column-stochastic weight matrices for intracluster communication. To handle constraints, we introduce an averaging procedure to control errors introduced by projection methods within the gradient-tracking procedure. We establish the linear convergence of the proposed algorithm, focusing on the contraction property of the optimality gap. The efficacy of the algorithm is demonstrated through its application to microgrid energy management. © 2024 IEEE.

关键词： Stochastic systems

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Optimization of Cube Storage Warehouse Scheduling Using Genetic Algorithms 19

Optimization of Cube Storage Warehouse Scheduling Using Gene...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Ha, Won Yong Jiang, Zhong-Ping Tandon School of Engineering New York University The Control and Networks Lab Department of Electrical and Computer Engineering BrooklynNY11201 United States

ISBN: (纸本)9798350320695

In this paper, a new scheduling model is presented to speed up the logistics processing in an automatic cube storage warehouse. Automated guided vehicles (AGV) are used to move all items in the warehouse according to the computer's instructions. The tasks to be performed by the AGV are optimally distributed using Genetic Algorithms (GA). The goal of our research is to optimize order scheduling in automatic warehouses to reduce human resources and lower the cost of logistics. The proposed GA's fitness function reflects removing the stacked bin, a cube storage warehouse characteristic, and getting the designated bin. Through extensive computer simulations, it is shown that the higher the generation of the GA we design, the lower the logistics processing time. As compared with other meta-heuristic optimization algorithms, our proposed GA algorithm demonstrates a maximum of 21% reduction in delivery time. © 2023 IEEE.

关键词： Genetic algorithms

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Activity-based capability updating method for task assignment in mobile crowdsensing

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computer Networks 2025年 265卷

作者： Zhu, Xiao Ma, Wenming Wu, Xiagling Sun, Shengyang Zhu, Xiaoang School of Computer and Control Engineering Yantai University ShanDong YanTai264005 China

Task allocation is a critical process for mobile crowdsensing. In this process, the platform assigns tasks uploaded by requesters to suitable workers based on specific criteria. To ensure maximum benefit, crowdsensing platforms must select enough workers to complete these tasks with high quality. Therefore, it is essential for the platform's profitability to select reliable and punctual workers. Current approaches rely on intrinsic attributes for winner selection, which can lead to issues with unstable perceived quality. In this study, we propose a worker capability update equation that takes into account workers’ temporal and spatial activity levels to select stable and high-quality contributors. Additionally, we introduce a metric based on normal distribution to evaluate workers’ task completion rates. By utilizing historical task performance, we can select workers for each task, mitigating the impact of quality fluctuations on the platform's profits. We compared our method with four baseline methods using real datasets, and all results demonstrated its efficiency. © 2025

关键词： Mobile crowdsensing Opportunistic task assignment Profit maximization

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