Automatica最新文献_第6页

Strongly stabilizing the Acrobot by optimizing maximal relative stability via observation point selection 通过观察点选择优化最大相对稳定性，使Acrobot具有较强的稳定性

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.automatica.2025.112814

Xin Xin , Xiaohui Ji , Ziyu Wang , Yannian Liu

引用次数: 0

Distributed Nash equilibrium computation in multi-group resource allocation games over digraphs 有向图上多群资源分配博弈的分布式纳什均衡计算

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.automatica.2025.112816

Jialing Zhou , Guanghui Wen , Yuezu Lv , Xinlei Yi , Tao Yang , Karl Henrik Johansson

{"title":"Distributed Nash equilibrium computation in multi-group resource allocation games over digraphs","authors":"Jialing Zhou , Guanghui Wen , Yuezu Lv , Xinlei Yi , Tao Yang , Karl Henrik Johansson","doi":"10.1016/j.automatica.2025.112816","DOIUrl":"10.1016/j.automatica.2025.112816","url":null,"abstract":"<div><div>The existing distributed resource allocation (DRA) algorithms for multi-agent networks can rarely be implemented for multiple interacting groups of agents with conflicts of interest. The directed interaction, together with the hard balance constraint that follows from maintaining supply–demand balance during the execution process, make the DRA more challenging. To address this problem, the paper studies DRA over multiple interacting groups from a game-theoretic perspective, introducing the resource allocation game (RAG). A novel out-Laplacian matrix based methodology is developed for distributed Nash equilibrium (NE) computation. Following this methodology, distributed algorithms are designed using leader-follower tracking protocols to estimate partial derivatives of individual objective functions for the RAG. A reduced-order distributed algorithm is further developed for the RAG by integrating a gradient-tracking mechanism for estimating partial derivatives of group-level objective functions. It is shown that agent states converge to the NE of the games linearly while satisfying the balance constraint during the whole execution process under the proposed algorithms. The effectiveness of the proposed algorithms is illustrated through numerical examples.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"185 ","pages":"Article 112816"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear bidirectional dynamic latent modeling for closed-loop process monitoring 闭环过程监测的非线性双向动态潜建模

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.automatica.2025.112751

Xu Chen , Xiao He , S. Joe Qin

引用次数: 0

Constrained output regulation for linear systems performing iterative tasks via robust learning MPC 基于鲁棒学习MPC的线性系统迭代任务约束输出调节

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-29 DOI: 10.1016/j.automatica.2025.112801

Yu Xiao , Yuan Yuan , Biao Huang , Xiaodong Xu

引用次数: 0

Distributed strategy for autonomous nonlinear multi-coalition games of high-order players over unconnected intra-coalition communications 非连通联盟内通信下高阶参与人自治非线性多联盟博弈的分布式策略

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.automatica.2025.112749

Zhenhua Deng , Xiang-Peng Xie

{"title":"Distributed strategy for autonomous nonlinear multi-coalition games of high-order players over unconnected intra-coalition communications","authors":"Zhenhua Deng , Xiang-Peng Xie","doi":"10.1016/j.automatica.2025.112749","DOIUrl":"10.1016/j.automatica.2025.112749","url":null,"abstract":"<div><div>As cyber–physical systems march toward intelligence, physical systems have the ability to execute distributed game tasks autonomously. Hence this paper focuses on multi-coalition games (MCGs) of autonomous high-order nonlinear players (HNPs). The intra-coalition communication networks are not connected in our problem, distinct from almost all existing MCGs. Moreover, here there are local nonlinear convex inequalities, intra-coalition and inter-coalition coupling nonlinear convex inequalities, different from most of works about MCGs of physical systems. Mainly attributed to the high-order nonlinear dynamics, the unconnected intra-coalition communications and/or the nonlinear convex constraints, existing methods cannot solve our problem. Also, these characteristics put a crime in the strategy design and analysis of our problem. For the purpose of steering the heterogeneous HNPs to autonomously seek the variational generalized Nash equilibrium (vGNE) of MCGs, a distributed strategy is proposed by utilizing primal–dual methods and state feedback. Supported by Lasalle invariance principle, our strategy is analyzed rigorously. Under our strategy, all HNPs globally converge to the exact vGNE. Finally, the merits of our strategy are verified by two examples.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"185 ","pages":"Article 112749"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An algebraic approach to solve the model matching problem for single input single output systems 一种求解单输入单输出系统模型匹配问题的代数方法

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.automatica.2025.112784

Laura Menini, Corrado Possieri, Antonio Tornambe

引用次数: 0

Distributed output synchronization of discrete-time multi-agent systems: A data-driven approach 离散时间多智能体系统的分布式输出同步：一种数据驱动方法

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.automatica.2025.112789

Giulio Fattore, Maria Elena Valcher

引用次数: 0

Prescribed-time output feedback control for nonlinear systems with unknown measurement sensitivity 测量灵敏度未知非线性系统的规定时间输出反馈控制

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.automatica.2025.112765

Liuliu Zhang, Xianglin Liu, Changchun Hua

引用次数: 0

Remote robust state estimation for nonlinear systems 非线性系统的远程鲁棒状态估计

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-19 DOI: 10.1016/j.automatica.2025.112795

Alexander Yu. Pogromsky , Alexey S. Matveev

引用次数: 0

Achieving violation-free distributed optimization under coupling constraints 在耦合约束下实现无冲突的分布式优化

IF 5.9 2区计算机科学

Automatica Pub Date : 2026-03-01 Epub Date: 2025-12-18 DOI: 10.1016/j.automatica.2025.112774

Changxin Liu , Xiao Tan , Xuyang Wu , Dimos V. Dimarogonas , Karl H. Johansson

{"title":"Achieving violation-free distributed optimization under coupling constraints","authors":"Changxin Liu , Xiao Tan , Xuyang Wu , Dimos V. Dimarogonas , Karl H. Johansson","doi":"10.1016/j.automatica.2025.112774","DOIUrl":"10.1016/j.automatica.2025.112774","url":null,"abstract":"<div><div>Constraint satisfaction is a critical component in a wide range of engineering applications, including safe multi-agent control and economic dispatch in power systems. This study explores violation-free distributed optimization techniques for problems characterized by separable objective functions and coupling constraints. First, we incorporate auxiliary decision variables together with a network-dependent linear mapping to each coupling constraint. For the reformulated problem, we show that the projection of its feasible set onto the space of primal variables is identical to that of the original problem, which is the key to achieving all-time constraint satisfaction. Upon treating the reformulated problem as a min-min optimization problem with respect to auxiliary and primal variables, we demonstrate that the gradients in the outer minimization problem have a locally computable closed-form. Then, two violation-free distributed optimization algorithms are developed and their convergence under reasonable assumptions is analyzed. Finally, the proposed algorithm is applied to implement a control barrier function based controller in a distributed manner, and the results verify its effectiveness.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"185 ","pages":"Article 112774"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0