IEEE Transactions on Control Systems Technology最新文献_第4页

Optimizing Photovoltaic Panel Quantity for Water Distribution Networks 优化配水网光伏板数量

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-03-02 DOI: 10.1109/TCST.2025.3560173

Mirhan Ürkmez;Carsten Kallesøe;Jan Dimon Bendtsen;John Leth

{"title":"Optimizing Photovoltaic Panel Quantity for Water Distribution Networks","authors":"Mirhan Ürkmez;Carsten Kallesøe;Jan Dimon Bendtsen;John Leth","doi":"10.1109/TCST.2025.3560173","DOIUrl":"https://doi.org/10.1109/TCST.2025.3560173","url":null,"abstract":"The article introduces a procedure for determining an approximation of the optimal amount of photovoltaics (PVs) for powering water distribution networks (WDNs) through grid-connected PVs. The procedure aims to find the PV amount, minimizing the total expected cost of the WDN over the lifespan of the PVs. The approach follows an iterative process, starting with an initial estimate of the PV quantity and then calculating the total cost of WDN operation. To calculate the total cost of the WDN, we sample PV power profiles that represent the future production based on a probabilistic PV production model. Simulations are conducted assuming these sampled PV profiles power the WDN, and pump flow rates are determined using a control method designed for PV-powered WDNs. Following the simulations, the overall WDN cost is calculated. Since we lack access to derivative information, we employ the derivative-free Nelder-Mead method for iteratively adjusting the PV quantity to find an approximation of the optimal value. The procedure is applied for the WDN of Randers, a Danish town. By determining an approximation of the optimal quantity of PVs, we observe a 14.5% decrease in WDN costs compared to the scenario without PV installations, assuming a 25-year lifespan for the PV panels.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1727-1742"},"PeriodicalIF":3.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891239","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 Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization 基于安全屏障贝叶斯优化的安全临界控制最优参数自适应

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-03-02 DOI: 10.1109/TCST.2025.3561059

Shengbo Wang;Ke Li;Zheng Yan;Zhenyuan Guo;Song Zhu;Guanghui Wen;Shiping Wen

{"title":"Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization","authors":"Shengbo Wang;Ke Li;Zheng Yan;Zhenyuan Guo;Song Zhu;Guanghui Wen;Shiping Wen","doi":"10.1109/TCST.2025.3561059","DOIUrl":"https://doi.org/10.1109/TCST.2025.3561059","url":null,"abstract":"Safety is of paramount importance in control systems to avoid costly risks and catastrophic damages. The control barrier function (CBF) method, a promising solution for safety-critical control, poses a new challenge of enhancing control performance due to its direct modification of original control design and the introduction of uncalibrated parameters. In this work, we shed light on the crucial role of configurable parameters in the CBF method for performance enhancement with a systematical categorization. Based on that, we propose a novel framework combining the CBF method with Bayesian optimization (BO) to optimize the safe control performance. Considering feasibility/safety-critical constraints, we develop a safe version of BO using the barrier-based interior method to efficiently search for promising feasible configurable parameters. Furthermore, we provide theoretical criteria of our framework regarding safety and optimality. An essential advantage of our framework lies in that it can work in model-agnostic environments, leaving sufficient flexibility in designing objective and constraint functions. Finally, simulations on swing-up control and high-fidelity adaptive cruise control (ACC) are conducted to demonstrate the effectiveness of our framework.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1953-1959"},"PeriodicalIF":3.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891203","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

Elastic Structure Preserving Control for Flexible Joint Robots With Position-Controlled Actuators 基于位置控制的柔性关节机器人弹性结构保持控制

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-03-01 DOI: 10.1109/TCST.2025.3562024

Jerónimo Moyrón;Christian Ott;Annika Kirner;Javier Moreno-Valenzuela

{"title":"Elastic Structure Preserving Control for Flexible Joint Robots With Position-Controlled Actuators","authors":"Jerónimo Moyrón;Christian Ott;Annika Kirner;Javier Moreno-Valenzuela","doi":"10.1109/TCST.2025.3562024","DOIUrl":"https://doi.org/10.1109/TCST.2025.3562024","url":null,"abstract":"This article presents a novel control approach for flexible joint robots that use servo systems to control their motion. Under this configuration, the servo system is understood to have an inner feedback loop that accepts motor positions as inputs and uses torques as outputs. Hence, the soft robot uses motor positions as control inputs instead of torques. To address this system configuration with a reliable control system of high performance, we aim to generalize the elastic structure preserving (ESP) control approach, which previously has been proposed for backdrivable torque-controlled elastic robots, to robots with position-controlled elastic actuators. This scheme results in a dynamic feedback controller that recovers the elastic structure of the uncontrolled robot in the closed loop. At the same time, damping is injected, thus achieving a control system with high compliance and desired energy dissipation. Our results are supported by a rigorous analysis, where local input-to-state stability and output strict passivity can be concluded if the inner feedback loop from the servo system satisfies some assumptions. Experiments on two platforms validate the proposed control scheme and show the overall control system’s performance.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1810-1819"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891009","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

Model Predictive Valve Control to Assist Lung Pressure Profile Tracking 模型预测阀控制，以协助肺压力轮廓跟踪

IF 3.9 2区计算机科学

IEEE Transactions on Control Systems Technology Pub Date : 2025-02-27 DOI: 10.1109/TCST.2025.3542215

M. C. Thompson;C. T. Freeman;N. O’Brien;A.-M. Hughes;R. Marchbanks;A. Birch

引用次数: 0

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