IET Control Theory and Applications最新文献

Neuro-adaptive prescribed performance control for spacecraft rendezvous based on the fully-actuated system approach 基于全动系统方法的航天器交会的神经自适应规定性能控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-30 DOI: 10.1049/cth2.12736

Shiyi Li, Kerun Liu, Ming Liu, Xibin Cao

{"title":"Neuro-adaptive prescribed performance control for spacecraft rendezvous based on the fully-actuated system approach","authors":"Shiyi Li, Kerun Liu, Ming Liu, Xibin Cao","doi":"10.1049/cth2.12736","DOIUrl":"https://doi.org/10.1049/cth2.12736","url":null,"abstract":"This paper investigates the control problem of spacecraft rendezvous with obstacle constraint, considering the external disturbance forces caused by orbit perturbation. Firstly, the translational dynamic model of spacecraft rendezvous is given and then rewritten into a second-order fully-actuated system form. Then, by employing the prescribed performance control method, the performance function and error transformation are determined, pre-defining the prescribed performance bounds. Moreover, the fully-actuated system approach is used to linearize the original nonlinear system, which simplifies the processes of control law design and ensures model accuracy. After that, to ensure that the spacecraft could avoid the dangerous zone during its manoeuvre, the artificial potential function is introduced, based on which a sliding mode surface is designed. Finally, the prescribed performance control–artificial potential function-based control law is derived, further adopting the neuro-adaptive method to deal with external interferences. The stability of the close-loop control system is analysed through the Lyapunov approach and the effectiveness of the proposed control scheme is verified by carrying out a numerical simulation.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12736","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients 自适应多项式卡尔曼滤波器用于具有固定系数的修正 AR 时间序列中的非线性状态估计

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-29 DOI: 10.1049/cth2.12727

Dileep Sivaraman, Songpol Ongwattanakul, Branesh M. Pillai, Jackrit Suthakorn

{"title":"Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients","authors":"Dileep Sivaraman, Songpol Ongwattanakul, Branesh M. Pillai, Jackrit Suthakorn","doi":"10.1049/cth2.12727","DOIUrl":"https://doi.org/10.1049/cth2.12727","url":null,"abstract":"This article presents a novel approach for adaptive nonlinear state estimation in a modified autoregressive time series with fixed coefficients, leveraging an adaptive polynomial Kalman filter (APKF). The proposed APKF dynamically adjusts the evolving system dynamics by selecting an appropriate autoregressive time-series model corresponding to the optimal polynomial order, based on the minimum residual error. This dynamic selection enhances the robustness of the state estimation process, ensuring accurate predictions, even in the presence of varying system complexities and noise. The proposed methodology involves predicting the next state using polynomial extrapolation. Extensive simulations were conducted to validate the performance of the APKF, demonstrating its superiority in accurately estimating the true system state compared with traditional Kalman filtering methods. The root-mean-square error was evaluated for various combinations of standard deviations of sensor noise and process noise for different sample sizes. On average, the root-mean-square error value, which represents the disparity between the true sensor reading and estimate derived from the adaptive Kalman filter, was 35.31% more accurate than that of the traditional Kalman filter. The comparative analysis highlights the efficacy of the APKF, showing significant improvements in state estimation accuracy and noise resilience.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12727","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Observer-based adaptive control of vehicle platoon with uncertainty and input constraints 基于观测器的具有不确定性和输入约束条件的车辆编队自适应控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-28 DOI: 10.1049/cth2.12731

Shengping Lin, Lei Liu

引用次数: 0

An improved two-degree-of-freedom ADRC for asynchronous motor vector system 用于异步电机矢量系统的改进型两自由度 ADRC

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-27 DOI: 10.1049/cth2.12733

Changhui Wan, Na Duan, Guochao Xie, Yuang Liu

引用次数: 0

Receding horizon control for persistent monitoring tasks with monitoring count requirements 针对有监测次数要求的持续监测任务的后退视界控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-26 DOI: 10.1049/cth2.12730

Xiaohu Zhao, Yuanyuan Zou, Shaoyuan Li

{"title":"Receding horizon control for persistent monitoring tasks with monitoring count requirements","authors":"Xiaohu Zhao, Yuanyuan Zou, Shaoyuan Li","doi":"10.1049/cth2.12730","DOIUrl":"https://doi.org/10.1049/cth2.12730","url":null,"abstract":"This article presents a reachability-based receding horizon control (RHC) method for addressing persistent monitoring problems with count requirements. An agent is assigned to monitor multiple targets in a given environment to minimize the average uncertainty metric of all targets, while ensuring the monitoring count requirements of specific targets within predetermined time windows. To account for the spatial and temporal constraints in the monitoring requirements, a persistence predicate within the signal temporal logic (STL) specifications is introduced, which incorporates cumulative target state signals to effectively describe the monitoring count constraints. Considering the complexities arising from global time domain information requirements in STL constraints validation, an STL formula segmentation method based on completion progress is proposed. Subsequently, a reachability-based controller for the agent is developed by solving a short-term RHC problem while ensuring the satisfaction of the STL formulae. Simulation results are provided to illustrate the performance of proposed method.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Improved multiverse optimizer-based anti-saturation model free adaptive control and its application to manipulator grasping systems 基于多元宇宙优化器的改进型抗饱和无模型自适应控制及其在机械手抓取系统中的应用

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-15 DOI: 10.1049/cth2.12726

Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He

{"title":"Improved multiverse optimizer-based anti-saturation model free adaptive control and its application to manipulator grasping systems","authors":"Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He","doi":"10.1049/cth2.12726","DOIUrl":"https://doi.org/10.1049/cth2.12726","url":null,"abstract":"To address the stable grasping control issue in manipulator grasping systems, this manuscript proposes an improved multiverse optimizer-based anti-saturation model-free adaptive control (IMVO-AS-MFAC) algorithm. Initially, the manuscript converts the manipulator grasping system into an equivalent data model through dynamic linearization techniques. Then, based on the dynamic linearization model, the IMVO-AS-MFAC controller is designed. To address the actuator saturation problem that commonly occurs during the clamping process of manipulator grasping systems, a saturation parameter is introduced into the IMVO-AS-MFAC algorithm. Meanwhile, the controller parameters are optimized using an improved multiverse optimizer algorithm, which involves modifications to the initial population distribution and location update strategy. The improved algorithm demonstrates more competitive optimization performance compared to the traditional multiverse optimizer. The major advantage of the IMVO-AS-MFAC algorithm lies in the fact that only the input and output data of the manipulator grasping system are required throughout the entire control process, and the controller parameters are derived using an optimization algorithm rather than relying on empirical knowledge. Furthermore, rigorous mathematical analysis confirms the stability of the IMVO-AS-MFAC approach, and its effectiveness is validated through semi-physical experiments conducted in an environment integrating the MATLAB/Simulink module and the RecurDyn platform.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12726","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Data-driven Buck converter model identification method with missing outputs 具有缺失输出的数据驱动降压转换器模型识别方法

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-08-13 DOI: 10.1049/cth2.12728

Jie Hou, Xinhua Zhang, Huiming Wang, Shiwei Wang

引用次数: 0

Finite-time consensus for variable-order fractional non-linear multi-agent systems under actuator faults and external disturbances 执行器故障和外部干扰下的变阶分数非线性多代理系统的有限时间共识

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-07-23 DOI: 10.1049/cth2.12724

Ehsan Nazemorroaya, Mohsen Shafieirad, Mahnaz Hashemi

{"title":"Finite-time consensus for variable-order fractional non-linear multi-agent systems under actuator faults and external disturbances","authors":"Ehsan Nazemorroaya, Mohsen Shafieirad, Mahnaz Hashemi","doi":"10.1049/cth2.12724","DOIUrl":"10.1049/cth2.12724","url":null,"abstract":"The present investigation aims to address the leader-following consensus issue for variable-order fractional multi-agent systems (VOFMASs) under actuator faults and unknown external disturbances. The Caputo definition for the variable-order fractional (VOF) derivative is used to model the non-linear dynamics of the leader and follower agents. Consequently, two lemmas are developed for the Caputo VOF derivative of the Lyapunov function. In the first case, it is assumed that the multi-agent system (MAS) operates without actuator faults and an adaptive controller is proposed. With the aid of the developed lemmas, assurance is provided for the finite-time bounded cooperative tracking of the VOFMAS despite the presence of unknown external disturbances. In the second case, a novel fault-tolerant controller is designed for the finite-time consensus of the MAS under two common kinds of actuator faults: loss of effectiveness fault and bias fault. Finally, the efficacy of the proposed controller is demonstrated through the presentation of results from three simulation examples.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12724","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

A robust predictive control scheme for uncertain continuous-time delayed systems under actuator saturation 执行器饱和状态下不确定连续时间延迟系统的鲁棒预测控制方案

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-07-23 DOI: 10.1049/cth2.12725

Valiollah Ghaffari

引用次数: 0

Convex equilibrium-free stability and performance analysis of discrete-time nonlinear systems 离散时间非线性系统的无凸均衡稳定性和性能分析

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-07-22 DOI: 10.1049/cth2.12719

Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth

引用次数: 0