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Process Monitoring Based on Temporal Feature Agglomeration and Enhancement

IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 825-827页

作者： Xiao Liang Weiwu Yan Yusun Fu Huihe Shao Department of Automation the School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Automation the School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240 Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China

Dear Editor,This letter proposes a process-monitoring method based on temporal feature agglomeration and enhancement,in which a novel feature extractor called contrastive feature extractor(CFE)extracts the temporal and relational features among process *** the feature representations are enhanced by maximizing the separation among different classes while minimizing the scatter within each class.

关键词： among while letter

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A VNS-NPGA approach to multi-objective optimization of hub-and-spoke logistics network

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Journal of Traffic and Transportation engineering(English Edition) 2025年第2期12卷 390-409页

作者： Changxi Ma Chuwei Shi Yun Yang Yongpeng Zhao Zhuye Xu Bo Du School of Traffic and Transportation Lanzhou Jiaotong University Key Laboratory of Railway Industry on Plateau Railway Transportation Intelligent Management and Control Lanzhou Jiaotong University School of Tourism and Management Yangling Vocational and Technical College School of New Energy and Power Engineering Lanzhou Jiaotong University National Engineering Research Center of Highway Maintenance Technology Changsha University of Science & Technology Department of Management Griffith University

To realize low-cost freight transport in the logistics network and improve the network operation efficiency, a multi-objective optimization model and the corresponding algorithm for a hub-and-spoke logistics network are proposed based on the multi-level location of hub points and channels layout. By considering the structure of the multi-level hub-andspoke logistics network and the features of the connectivity between the hub and spoke points, the multi-objective optimization model is constructed with two objectives of minimizing the total network operation costs and the total network service time. By considering the characteristics of decision variables and models, a variable neighborhood search(VNS)-niched Pareto genetic algorithm(NPGA) approach with a three-stage encoding structure chromosome is proposed, where the VNS algorithm nested in NPGA is used for individual variable neighborhood search to optimize individual channel level genes,and NPGA is adopted to solve the multi-objective optimization model. To evaluate the performance of the proposed VNS-NPGA approach, a real-life case study based on a smallscale Australia Post data set was conducted, and 25 nodes of the Australia Post and 14nodes of the Gansu Province 3-level hub-and-spoke logistics networks were established,respectively. The analysis results indicated that the network structure of multi-level hub points could avoid the detour problem existing in the traditional hub-and-spoke network,and showed better applicability in the narrow geographical structure. Compared to the traditional multi-objective evolutionary algorithms, VNS-NPGA can obtain better solutions through the distributed optimization of channel levels, avoiding the problem that a single algorithm cannot effectively deal with coupling relationships in genes.

关键词： Multi-level hub-and-spoke logistics network Multi-objective optimization model VNS-NPGA Three-stage encoding Individual variable neighborhood search

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Analyzing Electric Heat Pump Modeling in an Advanced Energy Hub with Renewable Energy Integration 28

Analyzing Electric Heat Pump Modeling in an Advanced Energy ...

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28th International Electrical Power Distribution Conference, EPDC 2024

作者： Rizi, Daryoush Tavangar Nazari, Mohammad Hassan Hosseinian, Seyed Hossein Fani, Maryam Gharehpetian, G.B. Amirkabir University of Technology Department of Physics and Energy Engineering Tehran Iran Smart Control Systems Department Tehran Iran Amirkabir University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350385502

Establishing an energy hub emerges from the necessity to enhance energy efficiency and flexibility within the energy industry. The energy hubs being developed should be capable of meeting all forms of demand, including electricity, heating, and cooling. The energy hub is designed to work in tandem with both the natural gas and electricity grids, utilizing batteries to optimize the utilization of renewable energy (RE), reduce expenses, and improve network stability. In this study, the distribution network assumes that the energy hub is linked to a bus, and the research is viewed as integrated. An electric heat pump (EHP) has been incorporated into the energy hub, which is powered by the electricity produced by the combined heat and power (CHP) unit. The EHP generates heat and cold as needed, depending on its operating mode. Following the integration of energy hub management with the addition of the EHP, the system's operating costs decrease by 20.8%, illustrating its profitability. Daily evaluations and analyses of the results have been conducted. According to the findings, the EHP has played a crucial role in meeting hub loads, particularly cooling loads, thereby enhancing hub energy management. © 2024 IEEE.

关键词： Energy management

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An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles

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Autonomous Intelligent systems 2025年第1期5卷 1-20页

作者： Liu, Zhengqin Lei, Jinlong Yi, Peng Hong, Yiguang Department of Control Science and Engineering Tongji University Shanghai201804 China The Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai201804 China

Lately, there has been a lot of interest in game-theoretic approaches to the trajectory planning of autonomous vehicles (AVs). But most methods solve the game independently for each AV while lacking coordination mechanisms, and hence result in redundant computation and fail to converge to the same equilibrium, which presents challenges in computational efficiency and safety. Moreover, most studies rely on the strong assumption of knowing the intentions of all other AVs. This paper designs a novel autonomous vehicle trajectory planning approach to resolve the computational efficiency and safety problems in uncoordinated trajectory planning by exploiting vehicle-to-everything (V2X) technology. Firstly, the trajectory planning for connected and autonomous vehicles (CAVs) is formulated as a game with coupled safety constraints. We then define the interaction fairness of the planned trajectories and prove that interaction-fair trajectories correspond to the variational equilibrium (VE) of this game. Subsequently, we propose a semi-decentralized planner for the vehicles to seek VE-based fair trajectories, in which each CAV optimizes its individual trajectory based on neighboring CAVs’ information shared through V2X, and the roadside unit takes the role of updating multipliers for collision avoidance constraints. The approach can significantly improve computational efficiency through parallel computing among CAVs, and enhance the safety of planned trajectories by ensuring equilibrium concordance among CAVs. Finally, we conduct Monte Carlo experiments in multiple situations at an intersection, where the empirical results show the advantages of SVEP, including the fast computation speed, a small communication payload, high scalability, equilibrium concordance, and safety, making it a promising solution for trajectory planning in connected traffic scenarios. To the best of our knowledge, this is the first study to achieve semi-distributed solving of a game with coupled constr

关键词： Autonomous vehicles

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Response probability density of a single-degree-of-freedom linear system under non-Gaussian random excitation with dominant frequency 14

Response probability density of a single-degree-of-freedom l...

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14th International Conference on Recent Advances in Structural Dynamics, RASD 2024

作者： Tsuchida, Takahiro Department of Systems and Control Engineering Tokyo Institute of Technology Ookayama 2-12-1 Meguro-ku Tokyo152-8552 Japan

The response probability density function (PDF) of a single-degree-of-freedom linear system under non-Gaussian random excitation with a non-zero dominant frequency is investigated. The non-Gaussian excitation is a zero-mean stationary stochastic process prescribed by a first-order PDF and a power spectral density (PSD) with bandwidth and dominant frequency parameters. Uniform and Laplace distributions are considered for the excitation PDF. Monte Carlo simulations are performed to obtain the stationary displacement and velocity PDFs of the system. The simulation results indicate that the effects of excitation non-Gaussianity on the response PDFs vary greatly, depending on the bandwidth and dominant frequency of the excitation PSD. Particularly, the excitation non-Gaussianity appears strongly in the response PDFs when the excitation has a narrow bandwidth and the excitation dominant frequency matches the natural frequency of the system. Next, it is shown that when the excitation and response waveforms are similar, the response PDFs take a shape similar to the excitation PDF;on the other hand, when the waveforms are different, the response PDFs are nearly Gaussian, irrespective of the shape of the excitation PDF. Furthermore, as a quantitative index of waveform similarity, the maximum absolute value of the normalized cross-correlation function of excitation and response is introduced. The correspondence between the index value and the non-Gaussianity of the response PDF is revealed. © 2024 Institute of Physics Publishing. All rights reserved.

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Low-rank constrained weighted discriminative regression for multi-view feature learning

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CAAI Transactions on Intelligence Technology 2021年第4期6卷 471-479页

作者： Chao Zhang Huaxiong Li Department of Control and Systems Engineering Nanjing UniversityNanjing210093China

In recent years,multi-view learning has attracted much attention in the fields of data mining,knowledge discovery and machine learning,and been widely used in classification,clustering and information retrieval,and so forth.A new supervised feature learning method for multi-view data,called low-rank constrained weighted discriminative regression(LWDR),is *** from previous methods handling each view separately,LWDR learns a discriminative projection matrix by fully exploiting the complementary information among all views from a unified *** on least squares regression model,the highdimensional multi-view data is mapped into a common subspace,in which different views have different weights in *** weights are adaptively updated to estimate the roles of all *** improve the intra-class similarity of learned features,a low-rank constraint is designed and imposed on the multi-view features of each class,which improves the feature *** iterative optimization algorithm is designed to solve the LWDR model efficiently;Experiments on four popular datasets,including Handwritten,CaltechlOl,PIE and AwA,demonstrate the effectiveness of the proposed method.

关键词： method constrained weights

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COMPARATIVE ANALYSIS OF AGENT-BASED MODELING FRAMEWORKS FOR SIGNAL PROPAGATION IN COMPLEX NETWORKS: NETLOGO AND PYTHON MESA

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2024年第2期86卷 27-40页

作者： Berceanu, Cristian Patrascu, Monica Complex Systems Laboratory Department of Automatic Control and Systems Engineering University Politehnica of Bucharest Romania Centre for Elderly and Nursing Home Medicine Department of Global Public Health and Primary Care University of Bergen Norway Neuro-SysMed Center Department of Global Public Health and Primary Care University of Bergen Norway

Signal propagation is a prevalent research topic for an abound-ing number of complex network applications. The nonlinear characteristics of complex networks determined by complex interactions and topology re-quire suitable agent-based modeling and simulation frameworks. This paper presents a comparison of two such frameworks in terms of usability and performance for studying signal propagation in complex networks. Our findings are based on two use cases that we implemented in both frameworks. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Complex networks

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Adaptive Neuro-Fuzzy Inference System for Beverage Identification Based on VIS/NIR Spectral Analysis

Adaptive Neuro-Fuzzy Inference System for Beverage Identific...

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2024 International Conference Automatics and Informatics, ICAI 2024

作者： Sestrimska, Mariyana Nachev, Veselin Titova, Tanya Nikovski, Plamen University of Food Technologies Department of Automatics Information and Control Systems Plovdiv Bulgaria University of Food Technologies Department of Electronics and Electrical Engineering Plovdiv Bulgaria

ISBN: (纸本)9798350353907

In the present paper, a model of a hybrid neural-fuzzy system adapted to identify drinks with certain quality indicators, more specifically - tea blends with different ingredients, has been synthesized. To illustrate the work of the classifier, different types of tea were used, for which spectral characteristics of diffuse reflectance in the VIS/NIR range of the electromagnetic spectrum were taken. PCA is used to reduce the feature space of experimental databases. The first three components obtained as a result of the PCA-analysis are selected as the input vectors of the neural fuzzy classifier. The pattern recognition results are as follows: 98.3% in training and 81.3% in testing. The obtained relatively high percentage of accuracy for the work of the hybrid artificial neural network is proof of the successful implementation of the set classification task. © 2024 IEEE.

关键词： Tea

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Cognitive Navigation for Intelligent Mobile Robots:A Learning-Based Approach With Topological Memory Configuration

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1933-1943页

作者： Qiming Liu Xinru Cui Zhe Liu Hesheng Wang Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China MoE Key Laboratory of Artificial Intelligence AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of EducationKey Laboratory of Marine Intelligent Equipment and System of Ministry of EducationShanghai Engineering Research Center of Intelligent Control and ManagementShanghai Jiao Tong UniversityShanghai 200240China

Autonomous navigation for intelligent mobile robots has gained significant attention,with a focus on enabling robots to generate reliable policies based on maintenance of spatial *** this paper,we propose a learning-based visual navigation pipeline that uses topological maps as memory *** introduce a unique online topology construction approach that fuses odometry pose estimation and perceptual similarity *** tackles the issues of topological node redundancy and incorrect edge connections,which stem from the distribution gap between the spatial and perceptual ***,we propose a differentiable graph extraction structure,the topology multi-factor transformer(TMFT).This structure utilizes graph neural networks to integrate global memory and incorporates a multi-factor attention mechanism to underscore elements closely related to relevant target cues for policy *** from photorealistic simulations on image-goal navigation tasks highlight the superior navigation performance of our proposed pipeline compared to existing memory *** validation through behavior visualization,interpretability tests,and real-world deployment further underscore the adapt-ability and efficacy of our method.

关键词： Graph neural networks(GNNs) spatial memory topological map visual navigation

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Efficient and Collaborative Decisions for Supplier-Customer Services management 9th

Efficient and Collaborative Decisions for Supplier-Customer ...

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9th International Conference on Information Technology and Quantitative management, ITQM 2022

作者： Dimon, Catalin Popescu, Dumitru Bîlbîie, Radu Department of Automatic Control and Systems Engineering Upb Bucharest Romania

The research work presents a original solution for increasing the efficiency on management Supplied-Customer Services (SCS), based on a causal graph configuration. This approach expresses the connection, interaction, and collaboration between the two main actors, suppliers and consumers of goods and products. The causal graph model is intended for management of supply resources, production capacities, transport activities and customer demands. Initial configuration of this a priori generated graph includes the suppliers and consumers distributed in nodes and the interconnections expressed by the arches of the graph. A causal operator is introduced, which offer the efficient decisions propagation for the estimated solution of the supplier-customer services (SCS) problem. The customers can be served by the corresponding suppliers, or the suppliers must satisfy the services of the consumers, respectively. The road traffic is chosen for transport activities at a specific model to traffic network and appropriate control to avoid congestion and increase the real-time traffic performances for (SCS) management. The effectiveness of the proposed approach is visible on large structures of the supply-customer networks in different industrial and economic fields. © 2022 The Author(s).

关键词： Sales

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