Systems & Control Letters最新文献_第3页

Global controllability properties of linear control systems 线性控制系统的全局可控性

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-09 DOI: 10.1016/j.sysconle.2025.106229

Fritz Colonius , Alexandre J. Santana

引用次数: 0

Data-driven adversarial online control for unknown linear systems 未知线性系统的数据驱动对抗在线控制

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-08 DOI: 10.1016/j.sysconle.2025.106224

Zishun Liu, Yongxin Chen

{"title":"Data-driven adversarial online control for unknown linear systems","authors":"Zishun Liu, Yongxin Chen","doi":"10.1016/j.sysconle.2025.106224","DOIUrl":"10.1016/j.sysconle.2025.106224","url":null,"abstract":"<div><div>We consider the online control problem with an unknown linear dynamical system in the presence of adversarial perturbations and adversarial convex loss functions. Although the problem is widely studied in model-based control, it remains unclear whether data-driven approaches, which bypass the system identification step, can solve the problem. In this work, we present a novel data-driven online adaptive control algorithm to address this online control problem. Our algorithm leverages the behavioral systems theory to learn a non-parametric system representation and then adopts a perturbation-based controller updated by online gradient descent. We prove that our algorithm guarantees an <span><math><mrow><mover><mrow><mi>O</mi></mrow><mrow><mo>̃</mo></mrow></mover><mrow><mo>(</mo><msup><mrow><mi>T</mi></mrow><mrow><mn>2</mn><mo>/</mo><mn>3</mn></mrow></msup><mo>)</mo></mrow></mrow></math></span> regret bound with high probability, which matches the best-known regret bound for this problem. Furthermore, we extend our algorithm and performance guarantee to the cases with output feedback. A numerical experiment is conducted to validate our theoretical results.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"205 ","pages":"Article 106224"},"PeriodicalIF":2.5,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020291","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}

引用次数: 0

Identifiable specializations for ODE models ODE模型的可识别专门化

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-03 DOI: 10.1016/j.sysconle.2025.106226

Alexey Ovchinnikov , Anand Pillay , Gleb Pogudin , Thomas Scanlon

{"title":"Identifiable specializations for ODE models","authors":"Alexey Ovchinnikov , Anand Pillay , Gleb Pogudin , Thomas Scanlon","doi":"10.1016/j.sysconle.2025.106226","DOIUrl":"10.1016/j.sysconle.2025.106226","url":null,"abstract":"<div><div>The parameter identifiability problem for a dynamical system is to determine whether the parameters of the system can be found from data for the outputs of the system. Verifying whether the parameters are identifiable is a necessary first step before a meaningful parameter estimation can take place. Non-identifiability occurs in practical models. To reparametrize a model to achieve identifiability is a challenge. The existing approaches have been shown to be useful for many important examples. However, these approaches are either limited to linear models and scaling parametrizations or are not guaranteed to find a reparametrization even if it exists. In the present paper, we prove that there always exists a locally identifiable model with the same input–output behavior as the original one obtained from a given one by a partial specialization of the parameters. Our result applies to parametric rational ODE models with or without input, and our algorithm can find non-scaling reparametrizations. As an extra feature of our approach, the resulting (at least) locally identifiable reparametrization has the same shape: the monomials in the new state variables in the new model are formed in the same way as in the original model. Furthermore, we give a sufficient observability condition for the existence of a state space transformation from the original model to the new one. Our proof is constructive and can be translated to an algorithm, which we illustrate by several examples, with and without inputs.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"204 ","pages":"Article 106226"},"PeriodicalIF":2.5,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932140","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}

引用次数: 0

Maximum principle for optimal control problems of extended mean-field forward–backward regime-switching systems with general singular controls 广义奇异控制下扩展平均场前向-后向状态切换系统最优控制问题的极大值原理

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-08-30 DOI: 10.1016/j.sysconle.2025.106216

Hongyu Shi, Zhen Wu

引用次数: 0

Stabilization of nonlinear nonholonomic systems with multiplicative stochastic state sensing noise 具有乘性随机状态感知噪声的非线性非完整系统的镇定

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-08-29 DOI: 10.1016/j.sysconle.2025.106227

Jiabao Gu, Wei Meng

引用次数: 0

Fixed-time prescribed performance control of affine parameter-varying systems with an application in aero engines 仿射变参数系统的定时预定性能控制及其在航空发动机中的应用

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-08-26 DOI: 10.1016/j.sysconle.2025.106221

Jiaxi Zhang, Ji Wang, Jianping Zeng

引用次数: 0

Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming 基于Lie-代数微分动态规划的矩阵李群约束轨迹优化

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-08-23 DOI: 10.1016/j.sysconle.2025.106220

Gokhan Alcan , Fares J. Abu-Dakka , Ville Kyrki

{"title":"Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming","authors":"Gokhan Alcan , Fares J. Abu-Dakka , Ville Kyrki","doi":"10.1016/j.sysconle.2025.106220","DOIUrl":"10.1016/j.sysconle.2025.106220","url":null,"abstract":"<div><div>Matrix Lie groups are an important class of manifolds commonly used in control and robotics, and optimizing control policies on these manifolds is a fundamental problem. In this work, we propose a novel augmented Lagrangian-based constrained Differential Dynamic Programming (DDP) approach specifically designed for trajectory optimization on matrix Lie groups. Our method formulates the optimization problem in the error-state space, employs automatic differentiation during the backward pass, and ensures manifold consistency through discrete-time Lie-group integration during the forward pass. Unlike previous methods limited to specific manifold classes, our approach robustly handles generic nonlinear constraints across arbitrary matrix Lie groups and exhibits resilience to constraint violations during training. We evaluate the proposed DDP algorithm through extensive experiments, demonstrating its efficacy in managing constraints within a rigid-body mechanical system on SE(3), its computational superiority compared to existing optimization solvers, robustness under external disturbances as a Lie-algebraic feedback controller, and effectiveness in trajectory optimization tasks including realistic quadrotor scenarios as underactuated systems and deformable objects whose deformation dynamics are represented in SL(2). The experimental results validate the generality, stability, and computational efficiency of our proposed method.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"204 ","pages":"Article 106220"},"PeriodicalIF":2.5,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892044","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}

引用次数: 0

Results for the omega limit sets of dynamical systems 动力系统极限集的若干结果

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-08-23 DOI: 10.1016/j.sysconle.2025.106223

Iasson Karafyllis

引用次数: 0

Non-asymptotic error analysis of subspace identification for deterministic systems 确定性系统子空间辨识的非渐近误差分析

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-08-23 DOI: 10.1016/j.sysconle.2025.106219

Shuai Sun

引用次数: 0

Differentially private distributed nash equilibrium seeking based on gradient tracking and communication compression 基于梯度跟踪和通信压缩的差分私有分布式纳什均衡寻优