{"title":"A Unified Dual-Consensus Approach to Distributed Optimization With Globally Coupled Constraints","authors":"Zixuan Liu;Xuyang Wu;Dandan Wang;Jie Lu","doi":"10.1109/TCNS.2025.3649114","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3649114","url":null,"abstract":"This article explores distributed convex optimization with globally coupled constraints, where the objective function is a general nonsmooth convex function, the constraints include nonlinear inequalities and affine equalities, and the feasible region is possibly unbounded. To address such problems, a unified DUal-Consensus Algorithm (DUCA) and its proximal variant (Pro-DUCA) are proposed, which are unified frameworks that approximate the method of multipliers applied to the corresponding dual problem in no need of a closed-form dual objective. With varied parameter settings, DUCA and Pro-DUCA not only extend a collection of existing consensus optimization methods to solve the dual problem that they used to be inapplicable to, but also aid in offering new efficient algorithms to the literature. The proposed unified algorithms are shown to achieve <inline-formula><tex-math>$O(1/k)$</tex-math></inline-formula> convergence rates in terms of optimality and feasibility, providing new or enhanced convergence results for a number of existing methods. Simulation results demonstrate that these algorithms outperform several state-of-the-art alternatives in terms of objective and feasibility errors.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 1","pages":"593-605"},"PeriodicalIF":5.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuzhuo Zhao;Dan Ma;Jingge Wang;Yanyan Liu;Hongjun Lin
{"title":"Global Fixed-Time PPF-Dependent Event-Triggered Adaptive Control for Thermoacoustic Systems With Multiple Unknown Time Delays via FAS Approach","authors":"Yuzhuo Zhao;Dan Ma;Jingge Wang;Yanyan Liu;Hongjun Lin","doi":"10.1109/TCNS.2025.3649163","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3649163","url":null,"abstract":"This article addresses the event-triggered adaptive control problem with a global fixed-time prescribed performance function (PPF) for the thermoacoustic system with multiple-acoustic-mode and multiple-time-delay nonlinear flame response coupling characteristics. First of all, the acoustic model coupled with the flame response subject to multiple unknown time delays is presented to describe the general thermoacoustic systems. Subsequently, an adaptive controller is proposed within the fully actuated system (FAS) framework, thereby ensuring the stability of the thermoacoustic system. Next, by constructing a global fixed-time PPF, the dynamic constraint on the system output pressure is achieved, ensuring that its transient and steady-state performance indicators meet the design requirements. What is more, an event-triggered scheme optimized in collaboration with the global fixed-time PPF is proposed, which significantly reduces the frequency of actuator actions and communication resource consumption while maintaining the system transient performance. Furthermore, the FAS architecture is employed to design the controller, which effectively avoids the nondifferentiability issue of the virtual control at event-triggered instants. Finally, simulation studies verify the superior performance and practical feasibility of the proposed controllers.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 1","pages":"619-631"},"PeriodicalIF":5.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asynchronous Event-Triggered Impulsive Decentralized Control of Complex-Valued Multilayer Large-Scale Systems Under Deception Attacks","authors":"Ni Yang;Liting Liu;Huan Su","doi":"10.1109/TCNS.2025.3649160","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3649160","url":null,"abstract":"This article develops an asynchronous event-triggered impulsive decentralized control scheme for a class of complex-valued multilayer large-scale systems with time-varying coupling strengths and delays, under deception attacks where adversaries achieve their objectives by tampering with historical data. Unlike existing studies on event-triggered impulsive control where all node controllers are activated synchronously, each node in the proposed framework independently determines its triggering instants based on its own state. Initially, the interconnection effects are neglected, and node-specific Lyapunov functions are constructed and analyzed. Subsequently, graph-theoretic techniques, combined with the Razumikhin method, are employed to handle the cross-coupling terms and to derive several sufficient conditions. These conditions guarantee the <inline-formula><tex-math>$p$</tex-math></inline-formula>-th moment exponential stability of the closed-loop system while explicitly accounting for communication delays and attack probabilities. Finally, the theoretical results are applied to inertial neural networks, and numerical simulations demonstrate the effectiveness of the proposed control strategy.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 1","pages":"606-618"},"PeriodicalIF":5.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2026.3670832","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3670832","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 1","pages":"632-633"},"PeriodicalIF":5.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11447356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2025 Index IEEE Transactions on Control of Network Systems Vol. 12","authors":"","doi":"10.1109/TCNS.2026.3664266","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3664266","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 4","pages":"1-56"},"PeriodicalIF":5.0,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11395382","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2025.3641584","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3641584","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 4","pages":"3109-3110"},"PeriodicalIF":5.0,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11315890","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahtab Talaei, Apostolos I Rikos, Alex Olshevsky, Laura F White, Ioannis Ch Paschalidis
{"title":"Network-Based Epidemic Control Through Optimal Travel and Quarantine Management.","authors":"Mahtab Talaei, Apostolos I Rikos, Alex Olshevsky, Laura F White, Ioannis Ch Paschalidis","doi":"10.1109/tcns.2025.3590383","DOIUrl":"10.1109/tcns.2025.3590383","url":null,"abstract":"<p><p>Motivated by the swift global transmission of infectious diseases, we present a comprehensive framework for network-based epidemic control. Our aim is to curb epidemics using two different approaches. In the first approach, we introduce an optimization strategy that optimally reduces travel rates. We analyze the convergence of this strategy and show that it hinges on the network structure to minimize infection spread. In the second approach, we expand the classic SIR model by incorporating and optimizing quarantined states to strategically contain the epidemic. We show that this problem reduces to the problem of matrix balancing. We establish a link between optimization constraints and the epidemic's reproduction number, highlighting the relationship between network structure and disease dynamics. We demonstrate that applying augmented primal-dual gradient dynamics to the optimal quarantine problem ensures exponential convergence to a stationary point. We conclude by validating our approaches using simulation studies that leverage public data from counties in the state of Massachusetts.</p>","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 4","pages":"2726-2738"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12830048/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146055078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Adaptive Global Stabilization of a Class of Rigid Formation Systems","authors":"Qin Wang;Hanyu Yin;Guangyu Zhu;Yang Yi;Jun Yang","doi":"10.1109/TCNS.2025.3623001","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3623001","url":null,"abstract":"Accurate distance-based formation control is frequently compromised by the presence of multiple equilibria. A standard gradient law can direct a multiagent system to the zero-gradient set; however, it may fail to attain the unique desired configuration, thereby jeopardizing the overall mission reliability. To overcome this limitation while maintaining collision safety, we put forward a fully distributed, globally stabilizing control framework. First, a scalable graph-decomposition algorithm is employed to verify whether a formation graph exhibits the requisite cascade structure and automatically extract its interconnections. Subsequently, based on the cascade structure derived from the algorithm, a distributed perturbed gradient control law is implemented to facilitate the multiagent system in achieving the desired globally stable formation. Furthermore, the distributed adaptive velocity estimation law is introduced, relying solely on the relative positions of the agents, thus eliminating the necessity to ascertain the velocities of neighboring agents. This method effectively addresses the challenge of simultaneously ensuring collision avoidance and maintaining the desired formation shape. Finally, the global convergence and stability properties are obtained using the cascade system stability theory and adaptive control theory. Simulations are included to validate the effectiveness of the globally asymptotically stable formation control strategy.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 4","pages":"3096-3108"},"PeriodicalIF":5.0,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Node-to-Node Fault-Tolerant Control of Layered Multiagent Systems Under Deception Attack","authors":"Cui-Qin Ma;Jiashuo Liu;Yu Kang;Yun-Bo Zhao","doi":"10.1109/TCNS.2025.3613571","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3613571","url":null,"abstract":"The node-to-node bipartite consensus problem of multiagent systems with a two-layer network consisting of general linear dynamics is investigated. A novel observer technique composed of two state and fault observers is introduced in the presence of deception attack and sensor faults. Then, an observer-based fault-tolerant control framework is proposed to deal with joint effects of sensor faults and deception attack obeying the Bernoulli distribution launched from malicious adversaries. By exploiting matrix analysis and Lyapunov stability theory, sufficient conditions for achieving node-to-node mean-square bounded bipartite consensus are obtained. Numerical examples illustrate the effectiveness of the proposed approach.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 4","pages":"3086-3095"},"PeriodicalIF":5.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2025.3606301","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3606301","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2460-2461"},"PeriodicalIF":5.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11175266","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}