IEEE open journal of control systems最新文献_第3页

Control Oriented Real-Time Nonlinear Dynamic Pseudo-Inverse for Non-Minimum Phase Systems 面向控制的非最小相位系统实时非线性动态伪逆

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-04-23 DOI: 10.1109/OJCSYS.2026.3687077

Miguel Sempertegui;J. Jim Zhu;Douglas A. Lawrence

引用次数: 0

Robust Stability of Event-Triggered Nonlinear Moving Horizon Estimation 事件触发非线性移动地平线估计的鲁棒稳定性

IF 2.1

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-08-20 DOI: 10.1109/OJCSYS.2026.3725865

Isabelle Krauss;Victor G. Lopez;Matthias A. Müller

引用次数: 0

Data-Driven Synthesis of Probabilistic Controlled Invariant Sets for Linear Markov Decision Processes 线性马尔可夫决策过程的概率控制不变量集数据驱动综合

IF 2.1

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-08-20 DOI: 10.1109/OJCSYS.2026.3723719

Kazumune Hashimoto;Shunki Kimura;Junya Ikemoto;Kazunobu Serizawa;Yulong Gao;Kai Cai

{"title":"Data-Driven Synthesis of Probabilistic Controlled Invariant Sets for Linear Markov Decision Processes","authors":"Kazumune Hashimoto;Shunki Kimura;Junya Ikemoto;Kazunobu Serizawa;Yulong Gao;Kai Cai","doi":"10.1109/OJCSYS.2026.3723719","DOIUrl":"https://doi.org/10.1109/OJCSYS.2026.3723719","url":null,"abstract":"We study data-driven computation of <italic>probabilistic controlled invariant sets (PCIS) for safety-critical reinforcement learning under unknown dynamics. Assuming a linear MDP model, we use regularized least squares and self-normalized confidence bounds to construct a conservative estimate of the states from which the system can be kept inside a prescribed safe region over an <inline-formula><tex-math>$N$</tex-math></inline-formula>-step horizon, together with the corresponding set-valued safe action map. This construction is obtained through a backward recursion and can be interpreted as a conservative approximation of the <inline-formula><tex-math>$N$</tex-math></inline-formula>-step safety predecessor operator. When the associated conservative-inclusion event holds, a conservative fixed point of the approximate recursion can be certified as an <inline-formula><tex-math>$(N,epsilon)$</tex-math></inline-formula>-PCIS with confidence at least <inline-formula><tex-math>$eta$</tex-math></inline-formula>. For continuous state spaces, we introduce a lattice abstraction and a Lipschitz-based discretization error bound to obtain a tractable approximation scheme. Finally, we use the resulting conservative fixed-point approximation as a runtime candidate PCIS in a practical shielding architecture with iterative updates, and illustrate the approach on a numerical experiment.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"5 ","pages":"436-452"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11660483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148985802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trajectory Tracking for Systems With Unknown Time-Varying Disturbances 未知时变扰动系统的轨迹跟踪

IF 2.1

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-09-14 DOI: 10.1109/OJCSYS.2026.3733928

Michael Enqi Cao;Akash Harapanahalli;Evanns Morales-Cuadrado;Samuel Coogan

引用次数: 0

Optimal Control of Network Routing Under Blameless Constraints: A Convex Approach 无缺陷约束下网络路由的最优控制：一种凸方法

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-03-18 DOI: 10.1109/OJCSYS.2026.3675413

Trazon Jimerson;Claus Danielson;Daniel Calderone;Meeko Oishi

{"title":"Optimal Control of Network Routing Under Blameless Constraints: A Convex Approach","authors":"Trazon Jimerson;Claus Danielson;Daniel Calderone;Meeko Oishi","doi":"10.1109/OJCSYS.2026.3675413","DOIUrl":"https://doi.org/10.1109/OJCSYS.2026.3675413","url":null,"abstract":"In disaster scenarios, rescue plans must optimally allocate limited resources to maximize the number of feasible rescues. Full evacuation is often infeasible due to constraints such as limited fuel, time, or transportation capacity, making it crucial that allocations respect pre-established ethical priorities. These priorities are enforced through lexicographically ordered terminal sets. In this paper, we introduce the notion of <italic>blamelessness to network routing, which ensures routing plans yield terminal solutions in the highest feasible priority set. We model disaster response as a network routing problem, minimizing fuel usage while satisfying given ethical and physical constraints. First, we derive conditions on the cost function of a linear program (<sc>lp) to produce blameless but sub-optimal plans. Next, we formulate a two-stage <sc>lp that minimizes network routing cost subject to terminal priority set constraints. Finally, we show that a convex combination of blameless and optimal routing objectives always exists, allowing use of a single convex <sc>lp to produce plans that are resource-optimal subject to being blameless. Disaster rescue simulations are used to empirically study the sensitivity of blamelessness and network optimality to the convex-combination parameter. Routes must respect triage-based ethical priorities while minimizing network cost under a finite time horizon, limited route availability, and transportation capacity constraints.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"5 ","pages":"179-190"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11442642","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear Control Approaches for a Pneumatically Driven Assistance System With Load Balancing 具有负载平衡的气动辅助系统的非线性控制方法

IF 2.1

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-08-03 DOI: 10.1109/OJCSYS.2026.3719599

Kaneewar Ibrahim;Robert Prabel;Harald Aschemann

引用次数: 0

Functional $mathscr {H}_{infty }$ Filtering for Descriptor Systems With Incrementally Quadratic Nonlinearities Under Disturbances 扰动下增量二次非线性广义系统的泛函$mathscr {H}_{infty }$滤波

IF 2.1

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-08-03 DOI: 10.1109/OJCSYS.2026.3719607

Rishabh Sharma;Nutan Kumar Tomar

{"title":"Functional $mathscr {H}_{infty }$ Filtering for Descriptor Systems With Incrementally Quadratic Nonlinearities Under Disturbances","authors":"Rishabh Sharma;Nutan Kumar Tomar","doi":"10.1109/OJCSYS.2026.3719607","DOIUrl":"https://doi.org/10.1109/OJCSYS.2026.3719607","url":null,"abstract":"This paper develops a functional <inline-formula><tex-math>$mathscr {H}_{infty }$</tex-math></inline-formula> filter for nonlinear descriptor systems subject to external disturbances. Conventional <inline-formula><tex-math>$mathscr {H}_{infty }$</tex-math></inline-formula> filtering approaches for descriptor systems impose restrictive regularity assumptions and employ implicit descriptor-form filters, leading to practical implementation difficulties. Moreover, existing approaches mainly target full-or reduced-order state estimation, which is computationally inefficient when only a specific functional of the state is required. To address these limitations, the filter is formulated directly in an explicit state-space framework and can be initialized with arbitrary initial values. The filter order is chosen to be less than or equal to the dimension of the functional vector to be estimated, thereby reducing computational complexity. The considered nonlinearities are characterized using incremental quadratic constraints parameterized by appropriate multiplier matrices, which encompass Lipschitz, one-sided Lipschitz, monotone, and many other nonlinearities. Sufficient criteria for the existence of the proposed filter are established through a rank condition imposed on the system matrices together with a set of linear matrix inequalities (LMIs). Under these conditions, asymptotic stability of the estimation error dynamics is guaranteed, while the influence of external disturbances on the error is bounded within a prescribed <inline-formula><tex-math>$mathcal {L}_{2}$</tex-math></inline-formula>-performance framework. Finally, numerical simulations demonstrate and validate the effectiveness of our theoretical results.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"5 ","pages":"406-419"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11637112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148781351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stabilizing a Linear System Using Phone Calls When Time is Information 当时间是信息时，利用电话稳定线性系统

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-04-03 DOI: 10.1109/OJCSYS.2026.3680768

Mohammad Javad Khojasteh;Massimo Franceschetti;Gireeja Ranade

{"title":"Stabilizing a Linear System Using Phone Calls When Time is Information","authors":"Mohammad Javad Khojasteh;Massimo Franceschetti;Gireeja Ranade","doi":"10.1109/OJCSYS.2026.3680768","DOIUrl":"https://doi.org/10.1109/OJCSYS.2026.3680768","url":null,"abstract":"We study stabilizing a scalar linear system over a “timing” channel, where information is communicated via the timestamps of transmitted symbols. Each symbol, sent from a sensor to a controller in a closed-loop system, is received after a random delay.The sensor encodes information in the waiting times between transmissions, and the controller decodes it using the inter-reception times of symbols. This setup resembles a telephone system: a transmitter signals a call with a “ring,” and the receiver becomes aware of the “ring” after a random connection delay. With no data payload exchanged, this setup provides an abstraction for performing event-triggering control with zero-payload rate. We show that for system stabilization (state converging to zero in probability), the timing capacity of the channel must be at least as large as the entropy rate of the system. For exponentially distributed symbol delays, we provide an “almost” tight sufficient condition using a coding strategy that refines the message estimate with each new symbol. Our results generalize previous zero-payload event-triggering control strategies, revealing a fundamental limit for using timing information in stabilization, independent of the transmission strategy.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"5 ","pages":"191-210"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11474337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Adversarial Attacks Using Partial Sinkhorn Optimization 使用部分下沉角优化的机器学习对抗性攻击

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-04-01 DOI: 10.1109/OJCSYS.2026.3679905

André Bertolace;Konstantinos Gatsis;Kostas Margellos

{"title":"Machine Learning Adversarial Attacks Using Partial Sinkhorn Optimization","authors":"André Bertolace;Konstantinos Gatsis;Kostas Margellos","doi":"10.1109/OJCSYS.2026.3679905","DOIUrl":"https://doi.org/10.1109/OJCSYS.2026.3679905","url":null,"abstract":"Adversarial attacks are often modeled as pointwise perturbations of individual samples, which can miss structured distributional effects and may waste perturbation budget on examples that are already misclassified. We study a data-driven Wasserstein attack model in which the adversary shifts the empirical distribution under a label-preserving transport budget. Starting from this formulation, we derive a finite-dimensional transport surrogate and an equivalent lifting that makes the role of transport couplings explicit. We then introduce an entropic regularization, obtaining a difference-of-convex formulation that penalizes attacks which mainly amplify the loss of already misclassified samples. This leads to <italic>Partial Sinkhorn, an iterative algorithm that combines convex-concave linearization with Sinkhorn-type updates, such that any limit point of a convergent subsequence is a KKT stationary point of the penalized problem. Experiments on synthetic and MNIST tasks show that the proposed method generates stronger attacks than FGSM under comparable perturbation budgets, particularly in the low-distortion regime. The framework also highlights links between adversarial attack, optimal transport, and distributionally robust control.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"5 ","pages":"273-288"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11460207","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust PID Controllers With Measurement Filters for Arbitrary-Order Uncertain Time-Delay Systems 带测量滤波器的任意阶不确定时滞系统鲁棒PID控制器

IEEE open journal of control systems Pub Date : 2026-01-01 Epub Date: 2026-04-16 DOI: 10.1109/OJCSYS.2026.3684858

Elder Pereira Fenili;Leonardo Amaral Mozelli;Fernando De Oliveira Souza

{"title":"Robust PID Controllers With Measurement Filters for Arbitrary-Order Uncertain Time-Delay Systems","authors":"Elder Pereira Fenili;Leonardo Amaral Mozelli;Fernando De Oliveira Souza","doi":"10.1109/OJCSYS.2026.3684858","DOIUrl":"https://doi.org/10.1109/OJCSYS.2026.3684858","url":null,"abstract":"This paper presents a new methodology for the design of PID controllers based on linear matrix inequalities (LMIs). The proposed method can be applied to arbitrary-order SISO time-delay systems. The core of the approach relies on an innovative state-space control architecture that enables the integration of arbitrary-order systems with PI/PID controllers combined with different measurement noise filters, or alternatively, with a pure PI controller. The methodology allows the consideration of multiple design objectives, including disturbance rejection, reference tracking, measurement noise attenuation, the imposition of an exponential decay rate, the guarantee of positive PID controller gains, and robustness margins in the frequency domain, by imposing upper bounds on the <inline-formula><tex-math>${mathscr {H}}_{infty }$</tex-math></inline-formula> norm of the main sensitivity functions. Moreover, the approach explicitly accounts for parametric uncertainties. For validation, numerical examples were carried out ranging from low-order to higher-order models, combining different controller structures and multiple objectives simultaneously. The results were compared with recent and relevant methods from the literature, demonstrating the effectiveness and superiority of the proposed methodology.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"5 ","pages":"258-272"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11482554","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147937645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0