IET Control Theory and Applications最新文献

{"title":"Neuro-adaptive prescribed performance control for spacecraft rendezvous based on the fully-actuated system approach","authors":"Shiyi Li,&nbsp;Kerun Liu,&nbsp;Ming Liu,&nbsp;Xibin Cao","doi":"10.1049/cth2.12736","DOIUrl":"https://doi.org/10.1049/cth2.12736","url":null,"abstract":"<p>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.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1868-1876"},"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}

{"title":"Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients","authors":"Dileep Sivaraman,&nbsp;Songpol Ongwattanakul,&nbsp;Branesh M. Pillai,&nbsp;Jackrit Suthakorn","doi":"10.1049/cth2.12727","DOIUrl":"https://doi.org/10.1049/cth2.12727","url":null,"abstract":"<p>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.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1806-1824"},"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}

{"title":"Observer-based adaptive control of vehicle platoon with uncertainty and input constraints","authors":"Shengping Lin,&nbsp;Lei Liu","doi":"10.1049/cth2.12731","DOIUrl":"https://doi.org/10.1049/cth2.12731","url":null,"abstract":"<p>This study focuses on the highway platoon driving mode and proposes a distributed adaptive control algorithm based on an observer. Firstly, the adaptive observer is designed to compensate for the effect of unknown driving resistance and thus enhance the adaptation ability of the system to uncertainty. Secondly, an auxiliary system is introduced to specifically address actuator saturation constraints, ensuring the stability of the platoon driving in extreme conditions. Lastly, combining an event-triggered mechanism, a control strategy is designed to achieve the stability of the entire platoon while maximizing the conservation of communication resources. The algorithm's viability and efficiency are confirmed through simulation outcomes.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1846-1853"},"PeriodicalIF":2.2,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12731","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174161","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}

{"title":"An improved two-degree-of-freedom ADRC for asynchronous motor vector system","authors":"Changhui Wan,&nbsp;Na Duan,&nbsp;Guochao Xie,&nbsp;Yuang Liu","doi":"10.1049/cth2.12733","DOIUrl":"https://doi.org/10.1049/cth2.12733","url":null,"abstract":"<p>This paper proposes an improved two-degree-of-freedom active disturbance rejection controller for the coupling problem of asynchronous motor vector system. To simplify the analysis process and accommodate observers of different types, a unified expression based on different controllers for the system output is developed. The closed-loop transfer function generated by the reference input and load disturbance is given. For the coupling problem of motor output speed and immunity, the structure of a higher-order extended state observer is reconstructed. The extended state observer estimates both the output speed and the total system disturbance, which serve as feedback and feed-forward compensation quantities. Compared to the PI controller and traditional active disturbance rejection controller, the proposed controller achieves decoupling of output response speed and immunity, simplifies the process of parameter tuning. Finally, simulation and experiment results verify the feasibility and effectiveness of the algorithm in this paper.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1854-1867"},"PeriodicalIF":2.2,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174251","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}

{"title":"Receding horizon control for persistent monitoring tasks with monitoring count requirements","authors":"Xiaohu Zhao,&nbsp;Yuanyuan Zou,&nbsp;Shaoyuan Li","doi":"10.1049/cth2.12730","DOIUrl":"https://doi.org/10.1049/cth2.12730","url":null,"abstract":"<p>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.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1836-1845"},"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}

{"title":"Guest editorial: Resilient fuzzy control synthesis of non-linear networked systems against various cyber-attacks","authors":"Xiangpeng Xie,&nbsp;Tae H. Lee,&nbsp;Jianwei Xia,&nbsp;Reinaldo Martinez Palhares,&nbsp;Anh-Tu Nguyen","doi":"10.1049/cth2.12729","DOIUrl":"https://doi.org/10.1049/cth2.12729","url":null,"abstract":"&lt;p&gt;In recent years, there has been a growing interest in non-linear networked systems. They have a wide range of applications, many of which are security-critical. This has triggered a great deal of interest in non-linear network systems where attacks exist, bringing the issue of network security into control theory.&lt;/p&gt;&lt;p&gt;Fuzzy control theory transforms the handling of non-linear network systems under attack, addressing security issues like spoofing and DoS attacks. It enhances resource utilization efficiency through resilient triggering mechanisms suited for frequency/duration-limited attacks. As a rule-based approach using linguistic control rules, it operates on potentially erroneous data without needing an exact mathematical model, simplifying design and application. This special issue focuses on research ideas, articles, and experimental studies related to “Resilient fuzzy control synthesis of non-linear networked systems against various cyber-attacks” in order to learn, analyse, and predict the application of fuzzy control theory in non-linear networked systems against cyber-attacks by deep learning.&lt;/p&gt;&lt;p&gt;In this special issue, the final 17 accepted papers have been peer-reviewed. These papers can be categorized into three main groups, and the following is a brief description of each paper in this special issue.&lt;/p&gt;&lt;p&gt;Arunagirinathan et al., in their paper ‘Robust T-S fuzzy-model-based non-fragile sampled-data control for cyber-physical systems with stochastic delay and cyber-attacks’, proposed a non-vulnerable sampled-data control strategy based on the Takagi-Sugeno fuzzy model for cyber-physical systems under cyber-attack. A T-S fuzzy system with augmented state vectors is designed by using random variables conforming to the Bernoulli distribution to characterize random delays and attack effects in data transmission. A new stability criterion is developed by utilizing the fractional delayed state looped functional method, and its effectiveness against periodic and non-periodic attacks is verified in simulations. The study also demonstrates its superiority over existing methods through three numerical models.&lt;/p&gt;&lt;p&gt;Guo et al., in their paper ‘Resilient control design for large-scale networked control systems under denial-of-service attacks’, explore the exponential stability of large-scale networked control systems under denial-of-service attacks and design a resilient state feedback controller. The prediction-based controller is used to compensate for large input delays within the system to improve system performance, and a stability criterion for large-scale networked control systems under denial-of-service attacks is obtained. In addition, a criterion based on linear matrix inequalities is proposed for designing a controller against denial-of-service attacks and the effectiveness of the proposed method is verified by an interconnected power system in two regions.&lt;/p&gt;&lt;p&gt;Sun et al., in their paper ‘Event-based reduced-order H&lt;sub&gt;∞&lt;/sub","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 16","pages":"2015-2018"},"PeriodicalIF":2.2,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12729","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579787","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}

{"title":"Improved multiverse optimizer-based anti-saturation model free adaptive control and its application to manipulator grasping systems","authors":"Shida Liu,&nbsp;Zhen Li,&nbsp;Jiancheng Li,&nbsp;Honghai Ji,&nbsp;Jingquan He","doi":"10.1049/cth2.12726","DOIUrl":"https://doi.org/10.1049/cth2.12726","url":null,"abstract":"<p>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.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1791-1805"},"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}

{"title":"Data-driven Buck converter model identification method with missing outputs","authors":"Jie Hou,&nbsp;Xinhua Zhang,&nbsp;Huiming Wang,&nbsp;Shiwei Wang","doi":"10.1049/cth2.12728","DOIUrl":"https://doi.org/10.1049/cth2.12728","url":null,"abstract":"<p>A data-driven Buck converter model identification method is proposed to deal with missing (incomplete) outputs, which is robust to the data length and percentage of missing data. A nuclear norm based convex optimization problem instead of linear interpolation, to guarantee the recovered missing data satisfying the potential model structured low-rank character, is constructed to estimate missing outputs. The alternating direction method of multiplier strategy is used to solve the nuclear norm based convex optimization problem. In this way, the high-quality missing data can be estimated, even for short data length and high percentage of missing data. Based on the recovered data, the subspace identification method provides accurate estimates of the structure and parameter of the Buck converter synchronously. By applying the proposed method to a Buck converter, experimental results demonstrate its effectiveness.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1825-1835"},"PeriodicalIF":2.2,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12728","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174129","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}

{"title":"Finite-time consensus for variable-order fractional non-linear multi-agent systems under actuator faults and external disturbances","authors":"Ehsan Nazemorroaya,&nbsp;Mohsen Shafieirad,&nbsp;Mahnaz Hashemi","doi":"10.1049/cth2.12724","DOIUrl":"10.1049/cth2.12724","url":null,"abstract":"<p>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.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1763-1778"},"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}

{"title":"A robust predictive control scheme for uncertain continuous-time delayed systems under actuator saturation","authors":"Valiollah Ghaffari","doi":"10.1049/cth2.12725","DOIUrl":"10.1049/cth2.12725","url":null,"abstract":"<p>This paper concentrates on synthesizing robust predictive controllers in uncertain models with time-delay and saturated input. To handle the complexities simultaneously and reach the desired objective, a state-feedback structure with unknown gains is considered the compensator. Then, to specify the instantaneous values of the regulator's gains, an optimization issue will be derived relying on linear matrix inequality. Accordingly, in uncertain continuous-time systems with some constraints and time-delays, the controller's coefficients would be found in an online way from such an optimization. Numerous continuous-time simulations are numerically performed to reveal the merit and robustness of the suggested methodology over similar techniques.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 14","pages":"1779-1790"},"PeriodicalIF":2.2,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12725","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141812464","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}