Systems & Control Letters最新文献_第4页

Power-constrained networked process control system design 功率约束网络化过程控制系统设计

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-12 DOI: 10.1016/j.sysconle.2025.106231

Alejandro J. Rojas , Hugo O. Garcés

{"title":"Power-constrained networked process control system design","authors":"Alejandro J. Rojas , Hugo O. Garcés","doi":"10.1016/j.sysconle.2025.106231","DOIUrl":"10.1016/j.sysconle.2025.106231","url":null,"abstract":"<div><div>Networked control systems (NCSs) operate at the interface between the physical world and cyberspace enabling the realization of emergent cyber–physical systems that can be controlled over long distance, potentially even from the cloud, thereby reducing the complexity associated with wired solutions. Networked process control systems (NPCSs), as proposed herein, incorporate the challenges inherent in NCS design within the context of process control (the application of automatic control theory). For this purpose, the essential components of an NPCS are considered to be: on the process side, the presence of dominant unstable dynamics, modeled by a first-order (or at most a second-order) transfer function; and on the network side, the presence of additive white noise (AWN) channels on both over the control and feedback paths. The contribution of this work lies in the development of new optimal designs for the stabilization of a first-order unstable NPCS that minimize the associated channel power constraints, thereby mitigating signal distortion, and preserving battery life in cases where the transmitters are not connected to an external power supply. The NPCS optimal controller configures the closed loop dynamics to exhibit a repeated stable pole, while simultaneously minimizing one of the following objectives: the input power of the AWN channel over the control path; the input power of the AWN channel over the feedback path; or the sum of the input powers of both AWN channels, all under a constant reference signal. To illustrate the theoretical developments, a first-principles-based linearized ball and beam model is derived, demonstrating the effectiveness of the proposed NPCS optimal controller designs, and their properties, in comparison to those of a classical proportional-integral (PI) design. The contributions presented in this work are readily extendable to any arbitrary linear plant model possessing a single unstable pole.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"205 ","pages":"Article 106231"},"PeriodicalIF":2.5,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046684","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

Good Lie Brackets for classical and quantum harmonic oscillators 经典谐振子和量子谐振子的Good Lie托架

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-11 DOI: 10.1016/j.sysconle.2025.106233

Andrei Agrachev , Bettina Kazandjian , Eugenio Pozzoli

引用次数: 0

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

A distributed influence measurement algorithm in leader–follower networks 领导-追随者网络中的分布式影响力度量算法

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-08 DOI: 10.1016/j.sysconle.2025.106230

Hyung-Gon Lee , Jeong-Min Ma , Nam-Jin Park , Hyo-Sung Ahn

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

Harnessing optimal robustness towards PI regulators of linear perturbed unstable systems 利用线性摄动不稳定系统的PI调节器的最优鲁棒性

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-04 DOI: 10.1016/j.sysconle.2025.106225

Qi Mao , Jun Chen , Fei Xie , Liqian Dou , Bailing Tian , Qun Zong

{"title":"Harnessing optimal robustness towards PI regulators of linear perturbed unstable systems","authors":"Qi Mao , Jun Chen , Fei Xie , Liqian Dou , Bailing Tian , Qun Zong","doi":"10.1016/j.sysconle.2025.106225","DOIUrl":"10.1016/j.sysconle.2025.106225","url":null,"abstract":"<div><div>In this paper, we investigate how a regulator can be implemented for gaining the optimal robustness margin of second-order plants in the presence of uncertain perturbations. We are primarily interested in an intricate system, i.e., the second-order unstable plant with a zero relative degree that is accompanied by at least one unstable pole and non-minimum phase dynamics, both implemented by the proportional and proportional–integral (PI) type regulators. More specifically, we shall examine three scenarios of the system ranging from the worst case of two unstable poles and two minimum phase zeros to the case of one unstable pole and one minimum phase zero. For each class of systems, we furnish the bi-dimensional feasible horizons for the controller parameters of PI regulators. Drawing upon the feasible domains, we derive the explicit expressions of the optimal robustness margin against unknown uncertainties. Beyond that, we determine the regulator parameters for accomplishing the maximum margins, i.e., the optimum proportional and integral gains. At last, we extend to explore the optimum robustness margin achievable with a PI regulator for third-order non-minimum phase systems. Our results illustrate that the optimal robustness margins obtainable are dependent on the locations of the system’s unstable poles and non-minimum phase dynamics while attaining the optimized margin is relevant to the control parameters of the PI regulator, thus casting insight upon the design and adaptation of the regulator parameters.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"205 ","pages":"Article 106225"},"PeriodicalIF":2.5,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989546","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

Adaptive sampling-based event-triggered consensus for multi-agent systems 基于自适应采样的多智能体系统事件触发共识

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2025-09-01 DOI: 10.1016/j.sysconle.2025.106218

Yiming Wu , Nan Tang , Xiaozhen Pan , Ming Xu , Shuai Liu

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

Adaptive prescribed-time stabilization for uncertain unmeasured-state-dependent systems 不确定非测量状态相关系统的自适应定时镇定