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Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm

Journal of systems science & Complexity 2024年第6期37卷 2530-2555页

作者： LIANG Shu ZHANG Lei WEI Yiheng LIU Yemo Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai 200092China School of Mathematics Southeast UniversityNanjing 211189China Beijing Aerospace Automatic Control Institute Beijing 100854China

In this paper,the authors consider distributed convex optimization over hierarchical *** authors exploit the hierarchical architecture to design specialized distributed algorithms so that the complexity can be reduced compared with that of non-hierarchically distributed *** this end,the authors use local agents to process local functions in the same manner as other distributed algorithms that take advantage of multiple agents'computing ***,the authors use pseudocenters to directly integrate lower-level agents'computation results in each iteration step and then share the outcomes through the higher-level network formed by *** authors prove that the complexity of the proposed algorithm exponentially decreases with respect to the total number of *** support the proposed decomposition-composition method for agents and pseudocenters,the authors develop a class of *** operators are generalizations of the widely-used subgradient based operator and the proximal operator and can be used in distributed convex ***,these operators are closed with respect to the addition and composition operations;thus,they are suitable to guide hierarchically distributed design and ***,these operators make the algorithm flexible since agents with different local functions can adopt suitable operators to simplify their ***,numerical examples also illustrate the effectiveness of the method.

关键词： Complexity convergence convex optimization distributed algorithm hierarchical network

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Development of A Virtual Aerial Display Considering Interaction with 3DCG Objects 22

Development of A Virtual Aerial Display Considering Interact...

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22nd International Symposium on Communications and Information Technologies, ISCIT 2023

作者： Saito, Hideaki Imamura, Hiroki Graduate School of Science and Technology Department of Information Systems Engineering Tokyo Japan

ISBN: (纸本)9781665457316

In recent years, aerial displays that enable users to experience three-dimensional images are attracting attention. The reason why they are attracting attention is that they are expected to be used in various fields, such as for meetings at workplaces for a long-term using stereoscopic images, which have not been realized so far, and for applications in advertising. Therefore, the purpose of this research is to create a system that allows a single user to actually move their head to view 3D objects projected on a PC, and to develop a system that allows interaction while viewing stereoscopic images via an aerial display. © 2023 IEEE.

关键词： Antennas

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Observer-Structured PID controller: Flight controller Design Examples 4

Observer-Structured PID Controller: Flight Controller Design...

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4th International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Sato, Masayuki Sebe, Noboru Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan

ISBN: (纸本)9798350391183

This note shows two design examples of PID con-Trollers, whose state variables estimate the selected state vari-Ables of the controlled plant systems, for LTI Parametrically Dependent (LTIPD) systems. The authors have already proposed observer-structured controllers, whose structure is not the same as but is very similar to the well-established Luenberger observer-based controllers, and have also proposed a conversion method from a priori designed unstructured LTI or Linear Parameter-Varying (LPV) controllers to observer-structured LTI/LPV con-Trollers with the plant state estimation ability implemented. How-ever, the successful conversion has been reported only for full-order controllers. In this note, we show two examples, in which a priori designed LTI PID controllers are successfully converted to observer-structured PID controllers, and the designed observer-structured PID controllers well estimate the selected plant state variables in numerical simulations. © 2024 IEEE.

关键词： Three term control systems

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Convergence Analysis of Weighted-Median Opinion Dynamics with Prejudice

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IEEE Transactions on Automatic control 2025年第6期70卷 4155-4162页

作者： Zhang, Ruichang Liu, Zhixin Chen, Ge Mei, Wenjun Chinese Academy of Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing100190 China University of Chinese Academy of Sciences School of Mathematical Sciences Beijing101408 China Peking University Department of Mechanics and Engineering Science China

The Friedkin-Johnsen (FJ) model introduces prejudice into the opinion evolution and has been successfully validated in many practical scenarios;however, due to its weighted average mechanism, only one prejudiced agent can always guide all unprejudiced agents synchronizing to its prejudice under the connected influence network, which may not be in line with some social realities. To fundamentally address the limitation of the weighted average mechanism, a weighted-median opinion dynamics has been recently proposed;however, its theoretical analysis is challenging due to its nonlinear nature. This paper studies the weighted-median opinion dynamics with prejudice, and obtains the convergence and convergence rate when all agents have prejudice, and a necessary and sufficient condition for asymptotic consensus when a portion of agents have prejudice. These results are the first time to analyze the discrete-time and synchronous opinion dynamics with the weighted median mechanism, and address the phenomenon of the FJ model that connectivity leads to consensus when a few agents with the same prejudice join in an unprejudiced group. © 1963-2012 IEEE.

关键词： Nonlinear simulations

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Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

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Computer Modeling in engineering & sciences 2024年第8期140卷 1459-1483页

作者： Hongliang Zhang Yi Chen Yuteng Zhang Gongjie Xu School of Management Science and Engineering Anhui University of TechnologyMa’anshan243032China Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes Anhui University of TechnologyMa’anshan243032China Department of Industrial Engineering School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi’an710072China

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing *** DFJSP research only considers machine constraints and ignores worker *** one critical factor of production,effective utilization of worker resources can increase ***,energy consumption is a growing concern due to the increasingly serious environmental ***,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this *** solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling *** further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are *** strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto *** effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 *** results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

关键词： Distributed flexible job shop scheduling problem dual resource constraints energy-saving scheduling multi-objective grey wolf optimizer Q-learning

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Pilot study of the emotion cognition based on visual experience: A case study of roadside buildings in the Orio-Hibikino area

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Frontiers of Architectural Research 2024年第5期13卷 1113-1126页

作者： Satrio Agung Perwira Bart Dewancker Dimas Herjuno Faculty of Environmental Engineering The University of KitakyushuKitakyushuJapan Department of Architecture The University of KitakyushuKitakyushuJapan Graduate School of Life Science and Systems Engineering Kyushu Institute of TechnologyKitakyushuJapan

The purpose of this research is to explore how the design of buildings and spaces affects our *** study examines how our visual surroundings and emotional responses are *** hypothesis is that people’s emotions are influenced by what they see in the buildings,spaces,and furniture around *** personality type may have a unique emotional response to their *** study has three main goals:to analyze the built environment,to assess psychological well-being,and to conduct neuroscience *** built environment analysis is divided into two groups:architecture design analysis and street view design *** psychological well-being analysis identifies three key *** neuroscience analysis shows that rectangular shapes combined with linear ornamentation and calming colors create the most comforting building *** most comfortable street view includes an abundance of greenery with sun-shading *** conclusion,the study confirms that architecture affects our *** factors that contribute to our comfort are stored in our mind and body over *** mood and emotional state are influenced by what we see in our *** questionnaire and experiment results support these conclusions.

关键词： Architectural design Visual experience Person’s cognition Person’s emotion Roadside building

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Projected performance of Si- and 2D-material-based SRAM circuits ranging from 16 nm to 1 nm technology nodes

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Nature Nanotechnology 2024年第7期19卷 1066-1072页

作者： Lu, Yu-Cheng Huang, Jing-Kai Chao, Kai-Yuan Li, Lain-Jong Hu, Vita Pi-Ho Graduate School of Advanced Technology Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Systems Engineering City University of Hong Kong Kowloon Hong Kong Hong Kong Research Center Huawei Technology Investment Co. Ltd Kowloon Hong Kong Department of Mechanical Engineering and Department of Physics The University of Hong Kong Pokfulam Hong Kong

Researchers have been developing 2D materials (2DM) for electronics, which are widely considered a possible replacement for silicon in future technology. Two-dimensional transition metal dichalcogenides are the most promising among the different materials due to their electronic performance and relatively advanced development. Although field-effect transistors (FETs) based on 2D transition metal dichalcogenides have been found to outperform Si in ultrascaled devices, the comparison of 2DM-based and Si-based technologies at the circuit level is still missing. Here we compare 2DM- and Si FET-based static random-access memory (SRAM) circuits across various technology nodes from 16 nm to 1 nm and reveal that the 2DM-based SRAM exhibits superior performance in terms of stability, operating speed and energy efficiency when compared with Si SRAM. This study utilized technology computer-aided design to conduct device and circuit simulations, employing calibrated MoS2 nFETs and WSe2 pFETs. It incorporated layout design rules across various technology nodes to comprehensively analyse their SRAM functionality. The results show that, compared with three-dimensional structure Si transistors at 1 nm node, the planar 2DMFETs exhibited lower capacitance, leading to reduced cell read access time (−16%), reduced time to write (−72%) and lowered dynamic power (−60%). The study highlights the provisional benefits of using planar 2DM transistors to mitigate the performance degradation caused by reduced metal pitch and increased wire resistance in advanced nodes, potentially opening up exciting possibilities for high-performance and low-power circuit applications. © The Author(s), under exclusive licence to Springer Nature Limited 2024.

关键词： Transition metals

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A Zero-Sequence Current Analysis Approach for Rotating Machinery Fault Diagnosis of Induction Motor Drivetrain Based on Sparse Learning

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IEEE Transactions on Power Electronics 2025年第7期40卷 9800-9810页

作者： Liu, Zhao-Hua Long, Jun-Jie Wei, Hua-Liang Liu, Kan Zhang, Ying-Jie Li, Xiao-Hua Hunan University of Science and Technology School of Information and Electrical Engineering Xiangtan411201 China The University of Sheffield School of Electrical and Electronic Engineering Department of Automatic Control and Systems Engineering SheffieldS1 3JD United Kingdom Hunan University College of Mechanical and Vehicle Engineering Changsha410082 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China

Fault diagnosis of rotating machinery driven by induction motors has received increasing attention. Current diagnostic methods, which can be performed on existing inverters or current transformers of three-phase induction machines, have become a more economical and reliable alternative to vibration diagnostic methods. Existing references mainly focus on the stator current analysis of single-phase, but most single-phase current analysis methods utilize only a fraction of the total information accessible in the three-phase system. Field experience shows that zero-sequence current (ZSC) has more distinctive fault characteristics compared to single-phase current, and therefore it is better to use in mechanical fault detection and diagnostic tasks. This article proposes a novel sparse learning-based method for ZSC analysis for induction rotating motor drive fault diagnosis. First, it elaborates and compares the effectiveness of ZSC in revealing fault characteristics compared with single-phase current by analyzing the fault diagnosis mechanism of ZSC. In addition, the method proposes a correlation entropy-enhanced sparse learning method for the problem of high-frequency noise and interference in the ZSC signals, so as to enhance the learning of the features of the noise-containing signals. The diagnostic efficacy of the proposed method has been verified through experiments on two real datasets. © 1986-2012 IEEE.

关键词： Induction motors

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Enhanced strength-ductility synergy in a gradient pseudo-precipitates heterostructured Al-2.5%Mg alloy:Design,fabrication,and deformation mechanism

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Journal of Materials science & Technology 2024年第29期196卷 88-100页

作者： Renhao Wu Yeon Taek Choi Qingfeng Wu Xinxi Liu Dayong An Tianle Li Meng Li Hyoung Seop Kim Department of Plasticity Technology School of Materials Science&EngineeringShanghai Jiao Tong UniversityShanghai 200030China Graduate Institute of Ferrous&Eco Materials Technology Pohang University of Science and Technology37673South Korea Department of Materials Science and Engineering Pohang University of Science and Technology(POSTECH)37673South Korea School of Materials Science&Engineering Changsha University of Science&TechnologyChangsha 410114China Advanced Institute for Materials Research(WPI-AIMR) Tohoku UniversitySendai 980-8577Japan Institute for Convergence Research and Education in Advanced Technology Yonsei UniversitySeoul 03722South Korea

Heterostructures of alloyed composites,comprising heterogeneous domains with dramatically different constitutive properties,hold remarkable potential to expand the realm of material design systems and resolve the tradeoffbetween strength and *** study introduces an innovative materials design method for synthesizing gradient pseudo-precipitates heterostructure(GPHS)in non-heat-treatable Al-2.5%Mg *** cost-effective mild steel as both the diffusion source and protective layer,this heterostructure is achieved through pin-less friction stir-assisted cyclic localized deformation *** Fe atoms diffuse across the interface by friction stir-induced heat conduction,forming Fe-Al second-phase particles in the Al alloy matrix.A rapid inter-diffusion mechanism is activated in conjunction with dense dislocation walls,grain boundaries,and sub-structures,resulting in the formation of *** pseudo-precipitates are ultimately dispersed in a gradient distribution throughout the entire thickness of the Al alloy matrix induced by localized incremental *** GPHSed Al-2.5%Mg alloy exhibits an enhanced synergy of strength and ductility,with a uniform elongation increase from 11%to 21.2%,while maintaining the *** strengthening and hardening mechanisms,such as solid solution strengthening,dislocation hardening,and second phase strengthening,work synergistically to promote mechanical ***,the hetero-deformation between hard pseudo-precipitates and soft Al alloy matrix induces additional strain hardening,leading to high *** work provides a fresh perspective on the design and fabrication of high-performance alloys with advanced heterostructures,especially for non-heat-treatable alloys.

关键词： Gradient pseudo-precipitates heterostructure Enhanced strength-ductility synergy Rapid diffusion Hetero-deformation induced strain hardening Al-2.5%Mg alloy

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Unsupervised Episode Generation for Graph Meta-learning 41

Unsupervised Episode Generation for Graph Meta-learning

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41st International Conference on Machine Learning, ICML 2024

作者： Jung, Jihyeong Seo, Sangwoo Kim, Sungwon Park, Chanyoung Department of Industrial & Systems Engineering KAIST Korea Republic of Graduate School of Data Science KAIST Korea Republic of

We propose Unsupervised Episode Generation method called Neighbors as Queries (NAQ) to solve the Few-Shot Node-Classification (FSNC) task by unsupervised Graph Meta-learning. Doing so enables full utilization of the information of all nodes in a graph, which is not possible in current supervised meta-learning methods for FSNC due to the label-scarcity problem. In addition, unlike unsupervised Graph Contrastive Learning (GCL) methods that overlook the downstream task to be solved at the training phase resulting in vulnerability to class imbalance of a graph, we adopt the episodic learning framework that allows the model to be aware of the downstream task format, i.e., FSNC. The proposed NAQ is a simple but effective unsupervised episode generation method that randomly samples nodes from a graph to make a support set, followed by similarity-based sampling of nodes to make the corresponding query set. Since NAQ is model-agnostic, any existing supervised graph meta-learning methods can be trained in an unsupervised manner, while not sacrificing much of their performance or sometimes even improving them. Extensive experimental results demonstrate the effectiveness of our proposed unsupervised episode generation method for graph meta-learning towards the FSNC task. Our code is available at: https://***/JhngJng/NaQ-PyTorch. Copyright 2024 by the author(s)

关键词： Contrastive Learning

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