IEEE Transactions on Control Systems Technology最新文献_第6页

Data-Driven LPV Control for Harmonic Disturbance Rejection in a Hybrid Isolation Platform 数据驱动LPV控制在混合隔离平台中抑制谐波干扰

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-25 DOI: 10.1109/TCST.2025.3542212

Elias Klauser;Alireza Karimi

{"title":"Data-Driven LPV Control for Harmonic Disturbance Rejection in a Hybrid Isolation Platform","authors":"Elias Klauser;Alireza Karimi","doi":"10.1109/TCST.2025.3542212","DOIUrl":"https://doi.org/10.1109/TCST.2025.3542212","url":null,"abstract":"A novel approach for linear parameter-varying (LPV) controller synthesis for adaptive rejection of frequency-varying sinusoidal disturbances is proposed. Only the frequency response data of a linear time-invariant (LTI) multiple-input-multiple-output (MIMO) system are used to design the LPV controller that stabilizes the system for arbitrarily fast variation of the disturbance frequencies. Global stability is achieved thanks to the specific structure of the LPV controller and the use of integral quadratic constraints (IQCs) to represent the frequency variations. The LPV controller is designed by convex optimization in the frequency domain. A hybrid microvibration damping platform (MIVIDA) for space applications is considered for experimental validation of the proposed method. An LPV controller for rejection of unknown frequency-varying sinusoidal disturbances is designed and implemented on the real system. Experimental results demonstrate the effectiveness of the proposed approach in asymptotically rejecting disturbances and ensuring closed-loop stability against arbitrarily fast variations in disturbance frequencies.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1532-1542"},"PeriodicalIF":3.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891241","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

Causality-Informed Data-Driven Predictive Control 因果关系数据驱动的预测控制

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-19 DOI: 10.1109/TCST.2025.3541179

Malika Sader;Yibo Wang;Dexian Huang;Chao Shang;Biao Huang

{"title":"Causality-Informed Data-Driven Predictive Control","authors":"Malika Sader;Yibo Wang;Dexian Huang;Chao Shang;Biao Huang","doi":"10.1109/TCST.2025.3541179","DOIUrl":"https://doi.org/10.1109/TCST.2025.3541179","url":null,"abstract":"As a useful and efficient alternative to generic model-based control scheme, data-driven predictive control (DDPC) is subject to bias-variance tradeoff and is known to not perform desirably in face of uncertainty. Through the connection between direct data-driven control and subspace predictive control (SPC), we gain insight into the reason being the lack of causality as a main cause for their high variance of implicit prediction. In this brief, we derive a new causality-informed formulation of DDPC and its regularized form that balances between control cost minimization and implicit identification of a causal multistep predictor. Since the proposed causality-informed formulations only call for block-triangularization of a submatrix in the generic noncausal DDPC based on LQ factorization, our causality-informed formulation of DDPC enjoys computational efficiency. Its efficacy is investigated through numerical examples and application to model-free control of a simulated industrial heating furnace. Empirical results corroborate that the proposed method yields obvious performance improvement over existing formulations in handling stochastic noise and process nonlinearity.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1921-1928"},"PeriodicalIF":3.9,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891057","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

Collision Avoidance and Geofencing for Fixed-Wing Aircraft With Control Barrier Functions 具有控制屏障功能的固定翼飞机避碰与地理围栏

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-17 DOI: 10.1109/TCST.2025.3536215

Tamas G. Molnar;Suresh K. Kannan;James Cunningham;Kyle Dunlap;Kerianne L. Hobbs;Aaron D. Ames

引用次数: 0

Passivation of Clustered DC Microgrids With Non-Monotone Loads 非单调负载集群直流微电网的钝化研究

IF 4.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-13 DOI: 10.1109/TCST.2025.3537861

Albertus Johannes Malan;Joel Ferguson;Michele Cucuzzella;Jacquelien M. A. Scherpen;Sören Hohmann

引用次数: 0

Control of a Class of High-Dimensional Nonlinear Oscillators: Application to Flow Stabilization 一类高维非线性振子的控制：在流动镇定中的应用

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-13 DOI: 10.1109/TCST.2025.3539219

William Jussiau;Fabrice Demourant;Colin Leclercq;Pierre Apkarian

{"title":"Control of a Class of High-Dimensional Nonlinear Oscillators: Application to Flow Stabilization","authors":"William Jussiau;Fabrice Demourant;Colin Leclercq;Pierre Apkarian","doi":"10.1109/TCST.2025.3539219","DOIUrl":"https://doi.org/10.1109/TCST.2025.3539219","url":null,"abstract":"This article presents a methodology for designing linear time-invariant (LTI) controllers to stabilize high-dimensional nonlinear oscillator systems with an unstable equilibrium and a periodic or quasiperiodic attractor. The proposed approach is hybrid, combining ideas from classic model- based methods and more recent data-based approaches. The model-based component is aimed at guaranteeing the stability of the closed-loop system near the equilibrium, which is formulated using Youla parametrization. The data-based component tackles the nonlinearity and high-dimensionality of the system by utilizing simulation data in conjunction with derivative-free optimization to design LTI controllers. The approach results in a collection of LTI controllers that not only asymptotically stabilize the system near its equilibrium, but also drive the system from the attractor to the stabilized equilibrium. The efficacy of the method is demonstrated on a challenging example of a high-dimensional nonlinear oscillator from fluid mechanics: the incompressible flow over a 2-D open cavity at <inline-formula> <tex-math>$text {Re}=7500$ </tex-math></inline-formula>. Not only does it confirm the existence of simple LTI controllers stabilizing high-dimensional nonlinear dynamics in simulation, but it also shows the possibility of systematically finding solutions to this problem.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1521-1531"},"PeriodicalIF":3.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891242","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

Data-Driven Combined Longitudinal and Lateral Control for the Car Following Problem 汽车跟随问题的数据驱动纵向和横向联合控制

IF 4.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-11 DOI: 10.1109/TCST.2025.3539216

Leilei Cui;Sayan Chakraborty;Kaan Ozbay;Zhong-Ping Jiang

{"title":"Data-Driven Combined Longitudinal and Lateral Control for the Car Following Problem","authors":"Leilei Cui;Sayan Chakraborty;Kaan Ozbay;Zhong-Ping Jiang","doi":"10.1109/TCST.2025.3539216","DOIUrl":"https://doi.org/10.1109/TCST.2025.3539216","url":null,"abstract":"This article studies the problem of data-driven combined longitudinal and lateral control of autonomous vehicles (AVs) such that the AV can stay within a safe but minimum distance from its leading vehicle and, at the same time, in the lane. Most of the existing methods for combined longitudinal and lateral control are either model-based or developed by purely data-driven methods such as reinforcement learning. Traditional model-based control approaches are insufficient to address the adaptive optimal control design issue for AVs in dynamically changing environments and are subject to model uncertainty. Moreover, the conventional reinforcement learning approaches require a large volume of data, and cannot guarantee the stability of the vehicle. These limitations are addressed by integrating the advanced control theory with reinforcement learning techniques. To be more specific, by utilizing adaptive dynamic programming (ADP) techniques and using the motion data collected from the vehicles, a policy iteration algorithm is proposed such that the control policy is iteratively optimized in the absence of the precise knowledge of the AV’s dynamical model. Furthermore, the stability of the AV is guaranteed with the control policy generated at each iteration of the algorithm. The efficiency of the proposed approach is validated by the integrated simulation of SUMO and CommonRoad.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 3","pages":"991-1005"},"PeriodicalIF":4.9,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883414","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

Adaptive Residual-Based Modulating Function Regressor for Decoupled Estimation of Leak Size and Localization in Uncertain Water Network Systems 基于残差自适应调制函数回归量的不确定管网泄漏大小解耦估计与定位

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-11 DOI: 10.1109/TCST.2025.3537820

Italo Aranda-Cetraro;Gustavo Pérez-Zuñiga

引用次数: 0

Stator Flux Observers for Speed-Controlled PMSMs in Low-Speed Sensorless Applications: Comparative Tests and Hybrid Strategy 低速无传感器调速永磁同步电机的定子磁链观测器：比较测试和混合策略

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-06 DOI: 10.1109/TCST.2025.3536203

Emilio Carfagna;Cristiano Maria Verrelli;Giovanni Migliazza;Fabio Bernardi;Emilio Lorenzani

{"title":"Stator Flux Observers for Speed-Controlled PMSMs in Low-Speed Sensorless Applications: Comparative Tests and Hybrid Strategy","authors":"Emilio Carfagna;Cristiano Maria Verrelli;Giovanni Migliazza;Fabio Bernardi;Emilio Lorenzani","doi":"10.1109/TCST.2025.3536203","DOIUrl":"https://doi.org/10.1109/TCST.2025.3536203","url":null,"abstract":"In-depth performance analysis of stator flux observers (SFOs) is carried out, in the very low-speed range, for sensorless speed-controlled drives based on permanent magnet synchronous machines (PMSMs), in the presence of no idealities of the voltage source inverter (VSI) and uncertainties in the motor electrical parameters. The original contribution of this brief is twofold. First, it relies on the presentation of experiments, within this framework, which comparatively illustrate the closed-loop performance of: 1) a stator flux (open-loop) estimator with a low-pass filter (LPF), endowed with an additional phase shift and magnitude compensation based on the estimation of machine speed and 2) two adaptive observers constituting the most recent representatives of the class of the theoretically based contributions for PMSMs. While the former can achieve more satisfactory results when speed variations are relatively small, its performance degrades—when speed variations become relevant—when compared to the aforementioned adaptive SFOs which, in turn, still exhibit the advantage of estimating an additional critical parameter (under reliable knowledge of the motor inductance) related to demagnetization effects. Indeed, the crucial role of the adaptation is highlighted throughout the sections, while the conditions underlying the design and the stability proofs of such adaptive SFOs are shown to provide actually effective tools and restrictions under which satisfactory performances for the considered adaptive SFOs can be achieved in practice. Second, the common notation of the brief finally leads to the original formulation of a new comprehensive set of equations that simultaneously covers all the tested solutions and defines a hybrid strategy that might be very effective in practical applications.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1905-1912"},"PeriodicalIF":3.9,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891196","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

Q-Learning-Based Optimal Control via Adaptive Critic Network for a Wankel Rotary Engine 基于q学习的Wankel旋转发动机自适应评价网络最优控制

IF 4.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-04 DOI: 10.1109/TCST.2025.3533312

Anthony Siming Chen;Guido Herrmann;Reza Islam;Chris Brace;James W. G. Turner;Stuart Burgess

引用次数: 0

Constraint-Adaptive Model Predictive Control for Radio Frequency Hyperthermia Cancer Treatments 射频热疗癌症治疗的约束自适应模型预测控制

IF 4.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-04 DOI: 10.1109/TCST.2025.3533315

S. A. N. Nouwens;M. M. Paulides;W. P. M. H. Heemels

{"title":"Constraint-Adaptive Model Predictive Control for Radio Frequency Hyperthermia Cancer Treatments","authors":"S. A. N. Nouwens;M. M. Paulides;W. P. M. H. Heemels","doi":"10.1109/TCST.2025.3533315","DOIUrl":"https://doi.org/10.1109/TCST.2025.3533315","url":null,"abstract":"During a mild hyperthermia treatment, tumors are heated to temperatures ranging from <inline-formula> <tex-math>$39~^{circ } $ </tex-math></inline-formula>C to <inline-formula> <tex-math>$45~^{circ } $ </tex-math></inline-formula>C for 60–90 min. This thermal therapy can be a successful adjuvant to conventional cancer treatments such as chemotherapy and radiotherapy. In order to extract the maximum potential from the thermal therapy, it is crucial to heat the tumor to the desired therapeutic temperature while minimally heating the healthy tissue. Due to the recent development of magnetic resonance (MR)-compatible heating devices, MR thermometry techniques can be employed to noninvasively monitor the internal patient temperature in real time. This development enables closed-loop control strategies to improve the clinical value of the hyperthermia treatment. In this article, we propose a novel model predictive control (MPC) solution based on the alternating direction method of multipliers in combination with constraint removal techniques to compute optimal control inputs for radio frequency (RF)-based mild hyperthermia in real time based on models with <inline-formula> <tex-math>$10^{5}$ </tex-math></inline-formula>–<inline-formula> <tex-math>$10^{6}$ </tex-math></inline-formula> states and temperature safety constraints. We validated the proposed controller on high-fidelity patient models with and without patient model mismatches. We will show that the proposed control strategy can track a desired tumor temperature reference, while ensuring patient safety through <inline-formula> <tex-math>$10^{5}$ </tex-math></inline-formula>–<inline-formula> <tex-math>$10^{6}$ </tex-math></inline-formula> constraints and maintaining real-time feasibility with a computation time of 6 s, which is sufficiently fast considering the thermal dynamics.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 3","pages":"1021-1036"},"PeriodicalIF":4.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883424","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