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Primal-Dual ε-Subgradient Method for Distributed Optimization

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Journal of Systems Science & Complexity 2023年第2期36卷 577-590页

作者： ZHU Kui tang yutao School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China

This paper studies the distributed optimization problem when the objective functions might be nondifferentiable and subject to heterogeneous set *** existing subgradient methods,the authors focus on the case when the exact subgradients of the local objective functions can not be accessed by the *** solve this problem,the authors propose a projected primaldual dynamics using only the objective function’s approximate *** authors first prove that the formulated optimization problem can generally be solved with an error depending upon the accuracy of the available ***,the authors show the exact solvability of this distributed optimization problem when the accumulated approximation error of inexact subgradients is not too *** that,the authors also give a novel componentwise normalized variant to improve the transient behavior of the convergent *** effectiveness of the proposed algorithms is verified by a numerical example.

关键词： Constrained optimization distributed optimization e-subgradient primal-dual dynamics

Decision-making and control co-design for multi-agent systems: a hierarchical design methodology

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Control Theory and Technology 2022年第3期20卷 439-441页

作者： yutao tang Huashu Qin School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing100876China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China

Decision-making and control are two of the foremost key ingredients in any autonomous intelligent *** codesign has been well-recognized even since the early days of control[1].Recently,motivated by the wide applications of physical networked systems in different areas to cooperatively meet some cybercomputation/communication objectives and constraints,there is an urgent need towards an efficient decision-making and control co-design for these cyber-physical systems.

关键词： agent hierarchical autonomous

Distributed Optimal Steady-State Regulation in Linear Multi-Agent Systems 36

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Distributed Optimal Steady-State Regulation in Linear Multi-...

Distributed algorithm for solving variational inequalities over time-varying unbalanced digraphs

第36届中国控制会议

作者： yutao tang School of Automation Beijing University of Posts and Telecommunications

ISBN: (纸本)9781538629185

In this paper,a distributed optimal steady-state regulation problem was formulated and investigated for heterogeneous linear multi-agent *** problem can be taken as the combination of the steady-state regulation problem and distributed resource allocation problem,where a network of physical agents were coupled to solve a resource allocation problem via only using local data and exchanged information with its *** solve this problem,we propose an embedded control design by solving two simpler *** were given to show its effectiveness.

关键词： Optimal Steady-State Regulation Heterogeneous Multi-Agent System Embedded Control Optimal Signal Generator

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Control Theory and Technology 2024年第3期22卷 431-441页

作者： Yichen Zhang yutao tang Zhipeng Tu Yiguang Hong School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China Network Technology Laboratory Huawei Technologies Co.Ltd.Beijing 100095China Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China

In this paper,we study a distributed model to cooperatively compute variational inequalities over time-varying directed ***,each agent has access to a part of the full mapping and holds a local view of the global set *** virtue of an auxiliary vector to compensate the graph imbalance,we propose a consensus-based distributed projection algorithm relying on local computation and communication at each *** show the convergence of this algorithm over uniformly jointly strongly connected unbalanced digraphs with nonidentical local *** also provide a numerical example to illustrate the effectiveness of our algorithm.

关键词： Variational inequality Distributed computation Multi-agent system Weight-unbalanced graph

Nash equilibrium seeking over directed graphs

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Autonomous Intelligent Systems 2022年第1期2卷 79-86页

作者： yutao tang Peng Yi Yanqiong Zhang Dawei Liu School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing100876China Department of Control Science and Engineering Tongji UniversityShanghai200092China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai200092China School of Automation Hangzhou Dianzi UniversityHangzhou310018China China Research and Development Academy of Machinery Equipment Beijing100086China.

In this paper,we aim to develop distributed continuous-time algorithms over directed graphs to seek the Nash equilibrium in a noncooperative *** by the recent consensus-based designs,we present a distributed algorithm with a proportional gain for weight-balanced directed *** further embedding a distributed estimator of the left eigenvector associated with zero eigenvalue of the graph Laplacian,we extend it to the case with arbitrary strongly connected directed graphs having possible unbalanced *** both cases,the Nash equilibrium is proven to be exactly reached with an exponential convergence *** example is given to illustrate the validity of the theoretical results.

关键词： Nash equilibrium Directed graph Exponential convergence Proportional control Distributed computation

Online collaborative estimation technology for SOC and SOH of frequency regulation of a lead-carbon battery in a power system with a high proportion of renewable energy

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Protection and Control of Modern Power Systems 2024年第1期9卷 52-64页

作者： Hongchun Shu Wenlong Li Guangxue Wang Yiming Han Jiannan Li yutao tang 不详 Kunming University of Science and Technology Kunming 650000China Department of Electrical Engineering Kunming University of Science and TechnologyKunmingChina

In this paper,a collaborative online algo-rithm is proposed to estimate the state of charge(SOC)and state of health(SOH)of leadcarbon batteries that participate in frequency regulation of a power system with a high proportion of renewable *** algo-rithm addresses the inaccurate estimation of energy storage battery states caused by continuous and alter-nating charging and discharging over a short *** of lead-carbon battery chemistry and materials reveals that the resistance of the diaphragm is the most influential factor in battery *** addition,the hyste-resis characteristics of an energy storage battery vary significantly between the charging and discharging stages.A second-order RC equivalent circuit model is proposed that considers the contact and diaphragm resistances,and hysteresis *** on this,models for constant current charging interaction,constant voltage charging interaction,and dynamic discharging interaction are *** adaptive forgetting factor recursive least square(AFF-RLS)method is used to identify the parameters of the interactive *** an interactive multiple model with the embedded unscented Kalman filter(UKF)is used to estimate the SOC of the energy storage *** membrane and contact resistances identified by the interactive multi-model(IMM)are used to estimate the SOH,and online collaborative optimization of the SOC and SOH is *** error of the proposed SOC estimation method is experimentally verified to be within 2%,which is less than 5%of the standard value,and the error of SOH estimation is within 0.5%,demonstrating the high accuracy of the proposed method.

关键词： battery estimation SOC

Giant enhancement of second-harmonic generation from a nanocavity metasurface

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Science China(Physics,Mechanics & Astronomy) 2021年第9期64卷 75-81页

作者： Xuecai Zhang Junhong Deng Mingke Jin Yang Li Ningbin Mao yutao tang Xuan Liu Wenfeng Cai Yao Wang Kingfai Li Yanjun Liu Guixin Li Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhen 518055China Materials Characterization and Preparation Center Southern University of Science and TechnologyShenzhen 518055China

Nonlinear plasmonic metasurfaces are compatible with complementary metal oxide semiconductor technology and highly promising for on-chip optical switching and modulations and nanoscale frequency ***,the low nonlinearoptical response of metasurface devices limits their practical *** circumvent this constraint,we propose the design of a nanocavity plasmonic metasurface,in which the strong light localization in the nanocavity can be used to boost the efficiency of second-harmonic *** with the single-layer counterpart,experimental results show that the intensity of the second-harmonic waves in the nanocavity metasurface is enhanced by~790 *** proposed nanocavity plasmonic metasurfaces in this work may open new routes for developing highly efficient nonlinear metacrystals for on-chip nonlinear sources,nonlinear image encryption,information processing,and so on.

关键词： metamaterials nonlinear optics nanostructures

Distributed Optimization for Multi-agent Systems with Unknown High-frequency-gain Signs

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Distributed Optimization for Multi-agent Systems with Unknow...

Distributed Optimization for High-order Nonlinear Multi-agent Systems with Unknown Dynamics

第三十九届中国控制会议

作者： yutao tang School of Automation Beijing University of Posts and Telecommunications

In this paper, we consider a distributed optimization problem for a group of single-integrator agents without a prior knowledge of their high-frequency-gain signs. By an embedded design, we first propose an optimal signal generator to generate the global optimal point, and then solve the distributed optimization problem by designing some tracking controllers for these agents. A numerical example is given to verify the effectiveness of our algorithms.

关键词： distributed optimization multi-agent unknown control direction adaptive control

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Distributed Optimization for High-order Nonlinear Multi-agen...