IFAC-PapersOnLine最新文献

筛选
英文 中文
On the rate of convergence of distributed relaxed-ADMM algorithms in distributed optimization 分布式松弛admm算法在分布式优化中的收敛速度
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.066
Leonardo Armijos-Bacuilima , A. Mohamed Messilem , Luca Schenato , Ruggero Carli
{"title":"On the rate of convergence of distributed relaxed-ADMM algorithms in distributed optimization","authors":"Leonardo Armijos-Bacuilima ,&nbsp;A. Mohamed Messilem ,&nbsp;Luca Schenato ,&nbsp;Ruggero Carli","doi":"10.1016/j.ifacol.2025.07.066","DOIUrl":"10.1016/j.ifacol.2025.07.066","url":null,"abstract":"<div><div>In this paper, we present a preliminary analysis of the convergence rate of the relaxed ADMM-based algorithm recently introduced in the literature for distributed optimization problems. It is well known that the relaxed ADMM is a more general algorithm than the classical ADMM. Indeed, while the performance of the latter typically depends on one parameter, say <em>p,</em> the performance of the former depends on two parameters, say <em>p</em> and a, and the relaxed ADMM reduces to the classical ADMM when <em>α =</em> 1/2. Interestingly, from a computational point of view, the presence of the additional parameter <em>a</em> does not significantly complicate the updating steps of the algorithm. Nevertheless, the relaxed ADMM is much less considered in distributed optimization problems than the classical ADMM. In this paper, we show that by restricting to quadratic functions with the same convexity and to communication graphs that are regular connected graphs, it is possible to analytically compute the eigenvalues of the matrix that governs the dynamics of the algorithm based on the relaxed ADMM. Based on these eigenvalues, it is possible to design an efficient numerical procedure to evaluate the rate of convergence and to optimise it with respect to both <em>α</em> and <em>p.</em> Our results show that, by properly tuning the <em>a</em> parameter, the relaxed ADMM can can achieve superior convergence rates compared to its classical ADMM counterpart; in particular, for the family of graphs we considered, the optimal <em>a</em> typically tends to 1 as the number of agents increases. The analysis we present is preliminary, but suggests that the use of the relaxed ADMM can significantly improve the performance of the classical ADMM when applied to distributed optimization problems, at the price of a slight increase in computational complexity.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 187-192"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness 分布式约束耦合优化:利用admm一致性实现鲁棒性
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.067
A. Mohamed Messilem , Guido Carnevale , Ruggero Carli
{"title":"Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness","authors":"A. Mohamed Messilem ,&nbsp;Guido Carnevale ,&nbsp;Ruggero Carli","doi":"10.1016/j.ifacol.2025.07.067","DOIUrl":"10.1016/j.ifacol.2025.07.067","url":null,"abstract":"<div><div>In this paper, we consider a network of agents that jointly aim to minimize the sum of local functions subject to coupling constraints involving all local variables. To solve this problem, we propose a novel solution based on a primal-dual architecture. The algorithm is derived starting from an alternative definition of the Lagrangian function, and its convergence to the optimal solution is proved using recent advanced results in the theory of timescale separation in nonlinear systems. The rate of convergence is shown to be linear under standard assumptions on the local cost functions. Interestingly, the algorithm is amenable to a direct implementation to deal with asynchronous communication scenarios that may be corrupted by other non-idealities such as packet loss. We numerically test the validity of our approach on a real-world application related to the provision of ancillary services in three-phase low-voltage microgrids.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 193-198"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multilayer Information Spillover Networks: Application to Stocks Cross-listed in Mainland China and Hong Kong 多层信息溢出网络:在内地与香港交叉上市公司中的应用
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.069
Hongyu Liu , Hao Xia
{"title":"Multilayer Information Spillover Networks: Application to Stocks Cross-listed in Mainland China and Hong Kong","authors":"Hongyu Liu ,&nbsp;Hao Xia","doi":"10.1016/j.ifacol.2025.07.069","DOIUrl":"10.1016/j.ifacol.2025.07.069","url":null,"abstract":"<div><div>This study constructs a multilayer network framework that captures both within and across market interactions, to measure the volatility spillovers among stocks listed across both Hong Kong and Mainland Chinese exchanges. We find that: (i) From a system-level perspective, the volatility network’s total connectedness reacts notably to major events, while the leader for cross-market spillovers is not constant but shifts with time. (ii) From an individual-level perspective, cross-listed stock pairs display varying spillover influence across and within markets; however, the bidirectional spillovers between them are generally symmetric and tend to be strengthened by the introduction of inter-market connectivity policies. This research offers an innovative approach for a deeper understanding of the connectedness characteristics of cross-listed stocks and for optimizing risk management decisions.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 205-209"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed Parameter Estimation with Adversaries via Multi-Hop Relays⁎ 基于多跳中继的对手分布式参数估计
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.054
Liwei Yuan , Hideaki Ishii
{"title":"Distributed Parameter Estimation with Adversaries via Multi-Hop Relays⁎","authors":"Liwei Yuan ,&nbsp;Hideaki Ishii","doi":"10.1016/j.ifacol.2025.07.054","DOIUrl":"10.1016/j.ifacol.2025.07.054","url":null,"abstract":"<div><div>We study resilient distributed parameter estimation in multi-agent systems where some agents may malfunction. The objective is for each nonfaulty agent to locally estimate its parameter while it may interact with adversaries. To this end, we develop an algorithm using multi-hop relaying to achieve the goal in multi-agent networks with directed topologies. With multi-hop relays, agents can access more information of remote agents even though they communicate with only direct neighbors. We characterize a necessary and sufficient graph condition for our algorithm to succeed, which is denoted by the notion of robust following graphs. We prove that our condition with multi-hop relays is more relaxed than the one with one-hop case, and hence, our approach can tolerate more adversaries in the same network when multi-hop relays are applied. Lastly, numerical examples verify the efficacy of our algorithm.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 115-120"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trade-off in Quantization Between Data-driven Design and Control Inputs⁎ 数据驱动设计和控制输入之间的量化权衡
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.052
Iori Takaki , Ahmet Cetinkaya , Hideaki Ishii
{"title":"Trade-off in Quantization Between Data-driven Design and Control Inputs⁎","authors":"Iori Takaki ,&nbsp;Ahmet Cetinkaya ,&nbsp;Hideaki Ishii","doi":"10.1016/j.ifacol.2025.07.052","DOIUrl":"10.1016/j.ifacol.2025.07.052","url":null,"abstract":"<div><div>In this paper, we consider a remote control problem based on data-driven control with an emphasis on communication constraints. Specifically, we propose a direct data-driven stabilization method with quantization in input and state data for unknown discrete-time linear systems. Moreover, the controller is designed taking account of the effects of quantization in the feedback data. Logarithmic type quantization is employed, and we show the inherent trade-off in the quantization coarseness for data-driven design and feedback control. We illustrate the effectiveness of the method through numerical simulations.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 103-108"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
From Dissensus to Consensus: Bias-Controlled Transition in Nonlinear Opinion Dynamics⁎ 从异议到共识:非线性意见动力学中的偏见控制转变
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.059
Rajul Kumar, Ningshi Yao
{"title":"From Dissensus to Consensus: Bias-Controlled Transition in Nonlinear Opinion Dynamics⁎","authors":"Rajul Kumar,&nbsp;Ningshi Yao","doi":"10.1016/j.ifacol.2025.07.059","DOIUrl":"10.1016/j.ifacol.2025.07.059","url":null,"abstract":"<div><div>We propose a novel bias-based consensus framework for nonlinear opinion dynamics. Due to the observable and malleable nature of bias in human-robot interactions, we utilize it as a control parameter to achieve consensus. First, we analyze the Lyapunov–Schmidt reduced system near equilibrium under small bias assumptions. Through constrained cusp bifurcation, we show that increasing individual biases beyond identified thresholds—and relative biases beyond saddle-node limit points ensures consensus with a unique stable equilibrium. For large biases, we conduct a global phase-plane analysis. By establishing strong monotonicity and applying the Poincaré–Bendixson theorem, we eliminate the possibility of limit cycles and guarantee consensus with a unique stable attractor as equilibrium. Finally, along with numerical simulations for the two-agent, two-option case, we show that the proposed bias control approach extends seamlessly to decentralized multi-agent opinion consensus.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 145-150"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural Network-based Stability Guarantee for Dissensus Opinion Behaviors on the Sphere⁎ 基于神经网络的球面上意见分歧行为稳定性保证[j]
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.044
Junkai Wang , Ziqiao Zhang , Fumin Zhang
{"title":"Neural Network-based Stability Guarantee for Dissensus Opinion Behaviors on the Sphere⁎","authors":"Junkai Wang ,&nbsp;Ziqiao Zhang ,&nbsp;Fumin Zhang","doi":"10.1016/j.ifacol.2025.07.044","DOIUrl":"10.1016/j.ifacol.2025.07.044","url":null,"abstract":"<div><div>In this paper, we develop a neural network-based method to study opinion behaviors under a covariance-based dissensus algorithm. Driven by this dissensus algorithm, the opinions are updated based on relative interactions and gradually converge to dissensus on the sphere. This proposed neural network-based method samples data and trains a neural network to ensure the Lyapunov conditions, which significantly simplifies the Lyapunov function design for stability analysis. The regions of attraction for different dissensus equilibria can also be estimated under opinion dynamics on a unit sphere by training a neural network to approximate the solution of Zubov’s equation. Simulations demonstrate the performance of the proposed method.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 4","pages":"Pages 55-60"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication 车道保持系统通信中视觉细节对人的影响
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.004
Yu Chul Lee , Junmin Wang
{"title":"Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication","authors":"Yu Chul Lee ,&nbsp;Junmin Wang","doi":"10.1016/j.ifacol.2025.07.004","DOIUrl":"10.1016/j.ifacol.2025.07.004","url":null,"abstract":"<div><div>Visual displays are used in vehicle automation systems to communicate the vehicle’s perception of the surrounding environment to the driver and passengers. This visual communication may impact how humans interact with the vehicle during driving. Thus, careful design of vehicle automation system visual communication is important for vehicle-driver collaboration. However, there is a lack of systematic study on how the level of detail in vehicle automation visual communication affects human driver’s workload, engagement, and acceptance. This paper presents a pilot research aiming to assess the impact of visual communication level of detail in vehicle automation systems. Both objective evaluation and subjective evaluation are conducted with human driving data collected on a driving simulator. Experimental results show a good agreement between the proposed objective assessment and subjective assessment.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 3","pages":"Pages 19-24"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mitigation Strategy for Navigation Errors in Strict Route Plans 严格路由规划中导航错误的缓解策略
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.023
Mohammad Almudhaf , Ümit Özgüner
{"title":"Mitigation Strategy for Navigation Errors in Strict Route Plans","authors":"Mohammad Almudhaf ,&nbsp;Ümit Özgüner","doi":"10.1016/j.ifacol.2025.07.023","DOIUrl":"10.1016/j.ifacol.2025.07.023","url":null,"abstract":"<div><div>Localization errors can be caused by unintentional malfunctions or intentional attacks on localization processes and sensory devices. These errors can occur at critical driving situations and at high speeds, resulting in false navigation for Autonomous Vehicles (AV). Those situations can be at a road fork that is branching to an adjacent parallel road or to a different level of a multi-level road. The AV can merge to the wrong road and continue following the original route plan until the correct current location is realized. This can lead to hazardous driving situations or deviations from a strict plan. This work considers special cases where the AV must adhere to a strictly specified route, i.e. large vehicles that must be driven on highways. An algorithm that we call Road-Class Aware Rerouting (RCAR) is developed to identify the point of deviation within a directed graph representing a road map and find the optimal way to return to the original route or reach the destination while maintaining road network constraints. Simulated examples are included to illustrate the proposed algorithm.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 3","pages":"Pages 133-138"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-time predictive modeling of flight delays using distributed systems and machine learning 利用分布式系统和机器学习对航班延误进行实时预测建模
IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.07.034
Z. Kowalczuk , J. Wszołek , J. Okuniewska
{"title":"Real-time predictive modeling of flight delays using distributed systems and machine learning","authors":"Z. Kowalczuk ,&nbsp;J. Wszołek ,&nbsp;J. Okuniewska","doi":"10.1016/j.ifacol.2025.07.034","DOIUrl":"10.1016/j.ifacol.2025.07.034","url":null,"abstract":"<div><div>This study presents a real-time system for flight delay prediction using distributed systems and machine learning. By integrating flight data from ADS-B signals, METARs, and TAF weather reports, the system processes the data streams via a reactive architecture. The applied predictive models, including random forests and linear regression, were validated and evaluated for their accuracy and scalability. The developed system offers a practical solution for improving decision-making in air traffic management.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 3","pages":"Pages 198-203"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信