IEEE Transactions on Control Systems Technology最新文献

Efficient, Structured Controller Synthesis for Linear Parameter-Varying Systems 线性变参数系统的高效、结构化控制器综合

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.1109/TCST.2026.3677853

Emily Burgin;Harald Pfifer

{"title":"Efficient, Structured Controller Synthesis for Linear Parameter-Varying Systems","authors":"Emily Burgin;Harald Pfifer","doi":"10.1109/TCST.2026.3677853","DOIUrl":"https://doi.org/10.1109/TCST.2026.3677853","url":null,"abstract":"A structured output-feedback controller synthesis in linear fractional transformation (LFT) formulation is derived. It is presented as a novel approach to the control of linear parameter-varying (LPV) systems. The LFT formulation leads to a controller synthesis with no approximation steps and it scales better than a gridded formulation when increasing the number of scheduling parameters. The proposed approach has better computational efficiency than a traditional output-feedback controller synthesis, as it solves two small semi-definite programs (SDP) in a two-step synthesis, rather than one large SDP posed by the traditional approach. This two-step synthesis also results in the controller’s fixed structure. The design process uses a recently proposed weighting scheme to impose unambiguous, tractable and physically interpretable closed-loop performance requirements; suitable for use on many aerospace applications. An exemplary spacecraft control problem demonstrates the computational superiority of the novel approach over standard output-feedback synthesis when using different scheduling parameters. There is also minimal loss in performance in the structured controller compared to the output-feedback controller.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1520-1534"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828828","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

Reliability-Based Design and Control of Crystallization Systems Under Parametric and Process Uncertainties 参数和工艺不确定条件下结晶系统可靠性设计与控制

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.1109/TCST.2026.3670402

Yash G. Barhate;Zoltan K. Nagy

{"title":"Reliability-Based Design and Control of Crystallization Systems Under Parametric and Process Uncertainties","authors":"Yash G. Barhate;Zoltan K. Nagy","doi":"10.1109/TCST.2026.3670402","DOIUrl":"https://doi.org/10.1109/TCST.2026.3670402","url":null,"abstract":"Population balance model-based approaches are widely employed in crystallization process design to meet the industry-specific critical quality attributes (CQAs). However, their reliability is often limited by parameter uncertainties arising from noisy experimental data, which if, unaccounted for, can lead to suboptimal or failed designs. This study introduces a novel reliability-based design optimization (RBDO) framework for open-loop design of crystallization systems under uncertainty. The framework formulates CQA constraints as probabilistic constraints with user-defined reliability thresholds, enabling quantified, risk-informed process design. To solve the resulting RBDO problems efficiently, a surrogate modeling-based, nested simulation-optimization workflow is developed. The proposed methodology is applied to both batch and continuous pharmaceutical crystallization systems, demonstrating its ability to generate robust design trajectories with significantly higher probabilities of meeting CQAs under both parametric and operational uncertainties compared to the deterministic designs. The computational efficiency and accuracy of the approach are further validated through benchmarking against back-mapping-based solutions of the underlying chance constrained formulations.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1550-1562"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828969","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

Structured Dataset Management for Data-Enabled Predictive Control of Nonlinear Systems 非线性系统数据支持预测控制的结构化数据集管理

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-03-09 DOI: 10.1109/TCST.2026.3666551

Alexandre Faye-Bédrin;Paul Chauchat;Stanislav Aranovskiy;Romain Bourdais

引用次数: 0

Finite-Time Boundedness Control of Dynamic Wireless Charging System via a Switched Impulsive LPV Model 基于切换脉冲LPV模型的动态无线充电系统的有限时间有界控制

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-03-16 DOI: 10.1109/TCST.2026.3671331

Yang Song;Xin Liu;Zhi Chen;Kang Li

{"title":"Finite-Time Boundedness Control of Dynamic Wireless Charging System via a Switched Impulsive LPV Model","authors":"Yang Song;Xin Liu;Zhi Chen;Kang Li","doi":"10.1109/TCST.2026.3671331","DOIUrl":"https://doi.org/10.1109/TCST.2026.3671331","url":null,"abstract":"The dynamic wireless charging system (DWCS) is characterized by two typical features: 1) pronounced mutual inductance (MI) fluctuations caused by the motion of the receiver (R) coil with the vehicle and 2) impulsive state jump effect induced by switching of the transmitter (T) coil. This article considers the coupled effects of longitudinal displacement and lateral misalignment of the R coil on the MI and derives the corresponding MI formulation. On this basis, combined with the generalized state-space averaging (GSSA) method, a switching impulsive linear parameter-varying (SI-LPV) model is established to describe the dynamic behavior of the DWCS. This framework characterizes the hybrid dynamics, specifically the instantaneous state discontinuities during T-coils switching. Consequently, an average dwell time (ADT)-based finite-time boundedness (FTB) state-feedback controller is designed to ensure that, within a finite charging time window, the system states are always maintained within prescribed safety bounds. Experimental results demonstrate that the proposed scheme effectively suppresses voltage fluctuations and exhibits robust performance against vehicle speed variations and load disturbances.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1535-1549"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828821","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

Optimal Speed and Charging Control for Electric Buses: A Multiscale MPC-Based Framework 电动公交车最优速度与充电控制：基于多尺度mpc的框架

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-03-24 DOI: 10.1109/TCST.2026.3674773

G. Basile;A. Bozzi;S. Bracco;C. Pasquale;S. Sacone;S. Siri;A. Ferrara

引用次数: 0

Vector Field Path Following of Time-Varying Sinusoidal Paths for Underwater Snake Robots 水下蛇形机器人时变正弦路径的矢量场路径跟踪

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-04-29 DOI: 10.1109/TCST.2026.3677852

Ivan Gushkov;Amer Orucevic;Kristin Y. Pettersen;Weijia Yao;Marianna Wrzos-Kaminska;Jan Tommy Gravdahl

引用次数: 0

Generation of Interpretable Residuals for Fault Diagnosis Based on Projection Techniques: Leveraging Variable Redundancy 基于投影技术的可解释残差故障诊断生成：利用可变冗余

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.1109/TCST.2026.3676142

Abel Alberto Cuadrado Vega;Ignacio Díaz Blanco;José María Enguita González;Diego García Pérez;Ana González Muñiz

{"title":"Generation of Interpretable Residuals for Fault Diagnosis Based on Projection Techniques: Leveraging Variable Redundancy","authors":"Abel Alberto Cuadrado Vega;Ignacio Díaz Blanco;José María Enguita González;Diego García Pérez;Ana González Muñiz","doi":"10.1109/TCST.2026.3676142","DOIUrl":"https://doi.org/10.1109/TCST.2026.3676142","url":null,"abstract":"A challenging but common scenario in fault diagnosis (FD) of processes concerns both an abundance of normal operation data and expert knowledge available, but no fault data and no predefined set of faults. In that scenario, a possible method may consist in generating residuals from the process variables, which are interpretable in the sense that nonzero residuals correspond to variables actually involved in the fault, so the kind of fault occurring can be identified by applying expert knowledge about the process. Under these conditions, we lay out the theoretical framework of the generation of residuals with projection techniques with no additional requirements other than to use models that involve low-dimensional latent spaces embedded in high-dimensional ambient spaces. We claim that the estimation of additive faults improves with higher differences between the dimension of the ambient space (measured input data space) and the dimension of the latent space. This improvement can be even greater in the case of sparse faults. In order to take advantage of that fact, we propose possible ways to obtain solutions to a sparse fault reconstruction problem for cases where a linear model is applicable. Some justifications for this idea are provided with simulations and illustrated with a real example using data from a rotating machine.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1563-1575"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11457319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Acoustic Noise Rejection Mode of Atomic Force Microscope Imaging: A Data-Driven Control Approach 原子力显微镜成像的噪声抑制模式：一种数据驱动控制方法

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-03-23 DOI: 10.1109/TCST.2026.3673873

Jiarong Chen;Qingze Zou

{"title":"Acoustic Noise Rejection Mode of Atomic Force Microscope Imaging: A Data-Driven Control Approach","authors":"Jiarong Chen;Qingze Zou","doi":"10.1109/TCST.2026.3673873","DOIUrl":"https://doi.org/10.1109/TCST.2026.3673873","url":null,"abstract":"In this article, we propose an imaging mode of atomic force microscope (AFM) that is robust to environmental disturbances such as acoustic noise. AFM operation is sensitive to external disturbances such as acoustic noise, as disturbances to the probe-sample interaction directly result in distortions in the images obtained. Although conventional passive noise cancellation has been employed, the passive-noise apparatus limits the function of AFM and its use in emerging applications. Moreover, residual noise still persists. In this work, a noise rejection mode (NRM) is proposed to combat the external disturbance effect during the imaging process—regardless of the disturbance location and without identifying the disturbance dynamics. Specifically, the set point of the feedback control loop for tracking the sample topography is adaptively adjusted online such that the AFM system is insensitive and thereby, robust to the environmental noise. Then, an adaptive feedforward controller is augmented to counteract the noise-caused probe vibration. Moreover, the proposed NRM can be integrated to high-speed imaging. Experimental implementation is presented and discussed to illustrate the proposed technique.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1481-1493"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828873","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

Disturbance-Adaptive Data-Driven Predictive Control: Trading Comfort Violation for Savings in Building Climate Control 扰动自适应数据驱动的预测控制：在建筑气候控制中以舒适违规换取节约

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-02-23 DOI: 10.1109/TCST.2026.3664129

Jicheng Shi;Christophe Salzmann;Colin N. Jones

{"title":"Disturbance-Adaptive Data-Driven Predictive Control: Trading Comfort Violation for Savings in Building Climate Control","authors":"Jicheng Shi;Christophe Salzmann;Colin N. Jones","doi":"10.1109/TCST.2026.3664129","DOIUrl":"https://doi.org/10.1109/TCST.2026.3664129","url":null,"abstract":"Model predictive control (MPC) has demonstrated significant potential in improving energy efficiency in building climate control, outperforming traditional controllers commonly used in modern building management systems (BMSs). Among MPC variants, data-driven predictive control (DPC) offers the advantage of modeling building dynamics directly from data, thereby substantially reducing commissioning efforts. However, inevitable model uncertainties and measurement noise can result in comfort violations, even with dedicated MPC setups. This article introduces a disturbance-adaptive DPC (DAD-DPC) framework that ensures asymptotic satisfaction of predefined violation bounds without knowing the uncertainty and noise distributions. The framework employs a data-driven pipeline based on Willems’ Fundamental Lemma and conformal prediction for application in building climate control. The proposed DAD-DPC framework was validated through four building cases using the high-fidelity building optimization testing framework (BOPTEST) simulation platform and an occupied campus building, Polydome. DAD-DPC successfully regulated the average comfort violations to meet predefined bounds. Notably, the 5% violation DAD-DPC setup achieved 30.1%/11.2%/27.1%/20.5% energy savings compared to default controllers across four cases. These results demonstrate the framework’s effectiveness in balancing energy consumption and comfort violations, offering a practical solution for building climate control applications.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1419-1434"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828824","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

Physics-Guided Gated Recurrent Units for Inversion-Based Feedforward Control 基于反转前馈控制的物理导向门控循环单元

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2026-03-01 Epub Date: 2026-02-25 DOI: 10.1109/TCST.2026.3662610

Mingdao Lin;Max Bolderman;Mircea Lazar

{"title":"Physics-Guided Gated Recurrent Units for Inversion-Based Feedforward Control","authors":"Mingdao Lin;Max Bolderman;Mircea Lazar","doi":"10.1109/TCST.2026.3662610","DOIUrl":"https://doi.org/10.1109/TCST.2026.3662610","url":null,"abstract":"Inversion-based feedforward control relies on an accurate model that describes the inverse system dynamics. The gated recurrent unit (GRU), which is a recent architecture in recurrent neural networks (RNNs), is a strong candidate for obtaining such a model from data. However, due to their closed-box nature, GRUs face challenges such as limited interpretability and vulnerability to overfitting. Recently, physics-guided neural networks (PGNNs) have been introduced, which integrate the prior physical model structure into the prediction process. This approach not only improves training convergence, but also facilitates the learning of a physics-based model. In this work, we integrate a GRU in the PGNN framework to obtain a PG-GRU, based on which we adopt a two-step approach to feedforward control design. First, we adopt stable inversion techniques to design a stable linear model of the inverse dynamics. Then, a GRU trained on the residual is tailored to inverse system identification. The resulting PG-GRU feedforward controller is validated by means of real-life experiments on a two-mass spring-damper system, where it demonstrates roughly a twofold improvement compared to the linear feedforward and a preview-based GRU feedforward in terms of the integral absolute error (IAE).","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"34 3","pages":"1641-1648"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828825","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