The concept of the time-modulated array has been emerging as an alternative to the complex phase shifters, which lowers the cost of the array feeding network due to the utilization of radio frequency (RF) switches. The various forms of hexagonal antenna array geometries can be used for applications like surveillance tracking in phased array radar and wireless communication systems. This work proposes the generalized array factor (AF) for the hexagonal antenna array geometry based on time modulation. The time modulation in generalized hexagonal geometry can maintain the fixed static amplitude excitation, giving more flexibility over time. Furthermore, a novel trapezoidal switching function is also proposed and applied to the generalized array factor to enable future researchers to use this array factor in the field of advancement to observe how switching schemes like trapezoidal and rectangular affect the array pattern's side lobe level (SLL). The generalized equation can be utilized for the analysis and synthesis of radiation characteristics of the time-modulated hexagonal array (TMHA), time-modulated concentric hexagonal array (TMCHA), time-modulated hexagonal cylindrical array (TMHCA), and time-modulated hexagonal concentric cylindrical array (TMHCCA). The numerical result illustrates the generation of AF of time-modulated hexagonal structures and also shows that the trapezoidal switching sequence outperforms the rectangular switch using the cat swarm optimization (CSO) approach.
作为复杂移相器的替代品，时间调制阵列的概念不断涌现，由于利用了射频（RF）开关，降低了阵列馈电网络的成本。各种形式的六边形天线阵列几何结构可用于相控阵雷达和无线通信系统中的监视跟踪等应用。这项研究提出了基于时间调制的六边形天线阵列几何的广义阵列因子（AF）。广义六边形几何中的时间调制可以保持固定的静态振幅激励，从而在时间上具有更大的灵活性。此外，还提出了一种新颖的梯形开关函数，并将其应用于广义阵列因子，使未来的研究人员能够在先进领域使用该阵列因子，观察梯形和矩形等开关方案如何影响阵列图案的边叶电平（SLL）。广义方程可用于分析和综合时间调制六边形阵列（TMHA）、时间调制同心六边形阵列（TMCHA）、时间调制六边形圆柱阵列（TMHCA）和时间调制六边形同心圆柱阵列（TMHCCA）的辐射特性。数值结果表明了时间调制六边形结构的 AF 生成情况，还表明梯形开关序列优于使用猫群优化 (CSO) 方法的矩形开关。
{"title":"A Generalized Array Factor for Time-Modulated Hexagonal Based Antenna Array Geometry with Novel Trapezoidal Switching","authors":"Gopi Ram","doi":"10.1109/JAS.2024.124458","DOIUrl":"https://doi.org/10.1109/JAS.2024.124458","url":null,"abstract":"The concept of the time-modulated array has been emerging as an alternative to the complex phase shifters, which lowers the cost of the array feeding network due to the utilization of radio frequency (RF) switches. The various forms of hexagonal antenna array geometries can be used for applications like surveillance tracking in phased array radar and wireless communication systems. This work proposes the generalized array factor (AF) for the hexagonal antenna array geometry based on time modulation. The time modulation in generalized hexagonal geometry can maintain the fixed static amplitude excitation, giving more flexibility over time. Furthermore, a novel trapezoidal switching function is also proposed and applied to the generalized array factor to enable future researchers to use this array factor in the field of advancement to observe how switching schemes like trapezoidal and rectangular affect the array pattern's side lobe level (SLL). The generalized equation can be utilized for the analysis and synthesis of radiation characteristics of the time-modulated hexagonal array (TMHA), time-modulated concentric hexagonal array (TMCHA), time-modulated hexagonal cylindrical array (TMHCA), and time-modulated hexagonal concentric cylindrical array (TMHCCA). The numerical result illustrates the generation of AF of time-modulated hexagonal structures and also shows that the trapezoidal switching sequence outperforms the rectangular switch using the cat swarm optimization (CSO) approach.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing, aviation, and healthcare, the data driven vibration control (DDVC) has attracted broad interests from both the industrial and academic communities. Input shaping (IS), as a simple and effective feedforward method, is greatly demanded in DDVC methods. It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure, thereby suppressing the residual vibration separately. Based on a thorough investigation into the state-of-the-art DDVC methods, this survey has made the following efforts: 1) Introducing the IS theory and typical input shapers; 2) Categorizing recent progress of DDVC methods; 3) Summarizing commonly adopted metrics for DDVC; and 4) Discussing the engineering applications and future trends of DDVC. By doing so, this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives, aiming at promoting future research regarding this emerging and vital issue.
{"title":"Data Driven Vibration Control: A Review","authors":"Weiyi Yang;Shuai Li;Xin Luo","doi":"10.1109/JAS.2024.124431","DOIUrl":"https://doi.org/10.1109/JAS.2024.124431","url":null,"abstract":"With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing, aviation, and healthcare, the data driven vibration control (DDVC) has attracted broad interests from both the industrial and academic communities. Input shaping (IS), as a simple and effective feedforward method, is greatly demanded in DDVC methods. It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure, thereby suppressing the residual vibration separately. Based on a thorough investigation into the state-of-the-art DDVC methods, this survey has made the following efforts: 1) Introducing the IS theory and typical input shapers; 2) Categorizing recent progress of DDVC methods; 3) Summarizing commonly adopted metrics for DDVC; and 4) Discussing the engineering applications and future trends of DDVC. By doing so, this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives, aiming at promoting future research regarding this emerging and vital issue.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Battery production is crucial for determining the quality of electrode, which in turn affects the manufactured battery performance. As battery production is complicated with strongly coupled intermediate and control parameters, an efficient solution that can perform a reliable sensitivity analysis of the production terms of interest and forecast key battery properties in the early production phase is urgently required. This paper performs detailed sensitivity analysis of key production terms on determining the properties of manufactured battery electrode via advanced data-driven modelling. To be specific, an explainable neural network named generalized additive model with structured interaction (GAM-SI) is designed to predict two key battery properties, including electrode mass loading and porosity, while the effects of four early production terms on manufactured batteries are explained and analysed. The experimental results reveal that the proposed method is able to accurately predict battery electrode properties in the mixing and coating stages. In addition, the importance ratio ranking, global interpretation and local interpretation of both the main effects and pairwise interactions can be effectively visualized by the designed neural network. Due to the merits of interpretability, the proposed GAM-SI can help engineers gain important insights for understanding complicated production behavior, further benefitting smart battery production.
{"title":"Explainable Neural Network for Sensitivity Analysis of Lithium-Ion Battery Smart Production","authors":"Kailong Liu;Qiao Peng;Yuhang Liu;Naxin Cui;Chenghui Zhang","doi":"10.1109/JAS.2024.124539","DOIUrl":"https://doi.org/10.1109/JAS.2024.124539","url":null,"abstract":"Battery production is crucial for determining the quality of electrode, which in turn affects the manufactured battery performance. As battery production is complicated with strongly coupled intermediate and control parameters, an efficient solution that can perform a reliable sensitivity analysis of the production terms of interest and forecast key battery properties in the early production phase is urgently required. This paper performs detailed sensitivity analysis of key production terms on determining the properties of manufactured battery electrode via advanced data-driven modelling. To be specific, an explainable neural network named generalized additive model with structured interaction (GAM-SI) is designed to predict two key battery properties, including electrode mass loading and porosity, while the effects of four early production terms on manufactured batteries are explained and analysed. The experimental results reveal that the proposed method is able to accurately predict battery electrode properties in the mixing and coating stages. In addition, the importance ratio ranking, global interpretation and local interpretation of both the main effects and pairwise interactions can be effectively visualized by the designed neural network. Due to the merits of interpretability, the proposed GAM-SI can help engineers gain important insights for understanding complicated production behavior, further benefitting smart battery production.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dear Editor, This letter deals with the tracking problem of quadrotors subject to external disturbances and visibility constraints by designing a robust model predictive control (RMPC) scheme. According to the image-based visual servoing (IBVS) method, a virtual camera is constructed to express image moments of the tracking target. Furthermore, we design time-varying visibility constraints to cater to UAV attitudes in the RMPC optimization problem so that the tracking target always stays within the field of view (FoV) of the aerial camera. Moreover, the RMPC algorithm is proved to be recursively feasible, and the closed-loop system is stable. Finally, numerical experiments verify the efficacy of the proposed method.
{"title":"RMPC-Based Visual Servoing for Trajectory Tracking of Quadrotor UAVs with Visibility Constraints","authors":"Qifan Yang;Huiping Li","doi":"10.1109/JAS.2024.124533","DOIUrl":"https://doi.org/10.1109/JAS.2024.124533","url":null,"abstract":"Dear Editor, This letter deals with the tracking problem of quadrotors subject to external disturbances and visibility constraints by designing a robust model predictive control (RMPC) scheme. According to the image-based visual servoing (IBVS) method, a virtual camera is constructed to express image moments of the tracking target. Furthermore, we design time-varying visibility constraints to cater to UAV attitudes in the RMPC optimization problem so that the tracking target always stays within the field of view (FoV) of the aerial camera. Moreover, the RMPC algorithm is proved to be recursively feasible, and the closed-loop system is stable. Finally, numerical experiments verify the efficacy of the proposed method.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10637429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
It was a shock and disbelief to learn of Peter's death last December. To me, he was so fit in his figure, so healthy in his lifestyle, so mild and mindful in his social behavior, and so devout in his religious belief,……, I had expected a long and happy life for him, and planned to join his 80th or even 100th birthday celebration.
{"title":"A Scholar of Dignity: Remembering Peter Luh","authors":"Fei-Yue Wang","doi":"10.1109/JAS.2024.124833","DOIUrl":"https://doi.org/10.1109/JAS.2024.124833","url":null,"abstract":"It was a shock and disbelief to learn of Peter's death last December. To me, he was so fit in his figure, so healthy in his lifestyle, so mild and mindful in his social behavior, and so devout in his religious belief,……, I had expected a long and happy life for him, and planned to join his 80th or even 100th birthday celebration.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10637477","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
This article mainly investigates the fuzzy optimization robust control issue for nonlinear networked systems characterized by the interval type-2 (IT2) fuzzy technique under a differential evolution algorithm. To provide a more reasonable utilization of the constrained communication channel, a novel adaptive memory event-triggered (AMET) mechanism is developed, where two event-triggered thresholds can be dynamically adjusted in the light of the current system information and the transmitted historical data. Sufficient conditions with less conservative design of the fuzzy imperfect premise matching (IPM) controller are presented by introducing the Wirtinger-based integral inequality, the information of membership functions (MFs) and slack matrices. Subsequently, under the IPM policy, a new MFs intelligent optimization technique that takes advantage of the differential evolution algorithm is first provided for IT2 Takagi-Sugeno (T-S) fuzzy systems to update the fuzzy controller MFs in real-time and achieve a better system control effect. Finally, simulation results demonstrate that the proposed control scheme can obtain better system performance in the case of using fewer communication resources.
{"title":"Novel Adaptive Memory Event-Triggered-Based Fuzzy Robust Control for Nonlinear Networked Systems via the Differential Evolution Algorithm","authors":"Wei Qian;Yanmin Wu;Bo Shen","doi":"10.1109/JAS.2024.124419","DOIUrl":"https://doi.org/10.1109/JAS.2024.124419","url":null,"abstract":"This article mainly investigates the fuzzy optimization robust control issue for nonlinear networked systems characterized by the interval type-2 (IT2) fuzzy technique under a differential evolution algorithm. To provide a more reasonable utilization of the constrained communication channel, a novel adaptive memory event-triggered (AMET) mechanism is developed, where two event-triggered thresholds can be dynamically adjusted in the light of the current system information and the transmitted historical data. Sufficient conditions with less conservative design of the fuzzy imperfect premise matching (IPM) controller are presented by introducing the Wirtinger-based integral inequality, the information of membership functions (MFs) and slack matrices. Subsequently, under the IPM policy, a new MFs intelligent optimization technique that takes advantage of the differential evolution algorithm is first provided for IT2 Takagi-Sugeno (T-S) fuzzy systems to update the fuzzy controller MFs in real-time and achieve a better system control effect. Finally, simulation results demonstrate that the proposed control scheme can obtain better system performance in the case of using fewer communication resources.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oscar Castillo;Fevrier Valdez;Patricia Melin;Weiping Ding
In this paper, we offer a review of type-3 fuzzy logic systems and their applications in control. The main objective of this work is to observe and analyze in detail the applications in the control area using type-3 fuzzy logic systems. In this case, we review their most important applications in control and other related topics with type-3 fuzzy systems. Intelligent algorithms have been receiving increasing attention in control and for this reason a review in this area is important. This paper reviews the main applications that make use of Intelligent Computing methods. Specifically, type-3 fuzzy logic systems. The aim of this research is to be able to appreciate, in detail, the applications in control systems and to point out the scientific trends in the use of Intelligent Computing techniques. This is done with the construction and visualization of bibliometric networks, developed with VosViewer Software, which it is a free Java-based program, mainly intended to be used for analyzing and visualizing bibliometric networks. With this tool, we can create maps of publications, authors, or journals based on a co-citation network or construct maps of keywords, countries based on a co-occurrence networks, research groups, etc.
{"title":"A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications","authors":"Oscar Castillo;Fevrier Valdez;Patricia Melin;Weiping Ding","doi":"10.1109/JAS.2024.124530","DOIUrl":"https://doi.org/10.1109/JAS.2024.124530","url":null,"abstract":"In this paper, we offer a review of type-3 fuzzy logic systems and their applications in control. The main objective of this work is to observe and analyze in detail the applications in the control area using type-3 fuzzy logic systems. In this case, we review their most important applications in control and other related topics with type-3 fuzzy systems. Intelligent algorithms have been receiving increasing attention in control and for this reason a review in this area is important. This paper reviews the main applications that make use of Intelligent Computing methods. Specifically, type-3 fuzzy logic systems. The aim of this research is to be able to appreciate, in detail, the applications in control systems and to point out the scientific trends in the use of Intelligent Computing techniques. This is done with the construction and visualization of bibliometric networks, developed with VosViewer Software, which it is a free Java-based program, mainly intended to be used for analyzing and visualizing bibliometric networks. With this tool, we can create maps of publications, authors, or journals based on a co-citation network or construct maps of keywords, countries based on a co-occurrence networks, research groups, etc.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sheng Qi;Rui Wang;Tao Zhang;Weixiong Huang;Fan Yu;Ling Wang
Sparse large-scale multi-objective optimization problems (SLMOPs) are common in science and engineering. However, the large-scale problem represents the high dimensionality of the decision space, requiring algorithms to traverse vast expanse with limited computational resources. Furthermore, in the context of sparse, most variables in Pareto optimal solutions are zero, making it difficult for algorithms to identify non-zero variables efficiently. This paper is dedicated to addressing the challenges posed by SLMOPs. To start, we introduce innovative objective functions customized to mine maximum and minimum candidate sets. This substantial enhancement dramatically improves the efficacy of frequent pattern mining. In this way, selecting candidate sets is no longer based on the quantity of non-zero variables they contain but on a higher proportion of non-zero variables within specific dimensions. Additionally, we unveil a novel approach to association rule mining, which delves into the intricate relationships between non-zero variables. This novel methodology aids in identifying sparse distributions that can potentially expedite reductions in the objective function value. We extensively tested our algorithm across eight benchmark problems and four real-world SLMOPs. The results demonstrate that our approach achieves competitive solutions across various challenges.
{"title":"Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems","authors":"Sheng Qi;Rui Wang;Tao Zhang;Weixiong Huang;Fan Yu;Ling Wang","doi":"10.1109/JAS.2024.124548","DOIUrl":"https://doi.org/10.1109/JAS.2024.124548","url":null,"abstract":"Sparse large-scale multi-objective optimization problems (SLMOPs) are common in science and engineering. However, the large-scale problem represents the high dimensionality of the decision space, requiring algorithms to traverse vast expanse with limited computational resources. Furthermore, in the context of sparse, most variables in Pareto optimal solutions are zero, making it difficult for algorithms to identify non-zero variables efficiently. This paper is dedicated to addressing the challenges posed by SLMOPs. To start, we introduce innovative objective functions customized to mine maximum and minimum candidate sets. This substantial enhancement dramatically improves the efficacy of frequent pattern mining. In this way, selecting candidate sets is no longer based on the quantity of non-zero variables they contain but on a higher proportion of non-zero variables within specific dimensions. Additionally, we unveil a novel approach to association rule mining, which delves into the intricate relationships between non-zero variables. This novel methodology aids in identifying sparse distributions that can potentially expedite reductions in the objective function value. We extensively tested our algorithm across eight benchmark problems and four real-world SLMOPs. The results demonstrate that our approach achieves competitive solutions across various challenges.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we review the development of a phase theory for systems and networks in its first five years, represented by a trilogy: Matrix phases and their properties; The MIMO LTI system phase response, its physical interpretations, the small phase theorem, and the sectored real lemma; The synchronization of a multi-agent network using phase alignment. Towards the end, we also summarize a list of ongoing research on the phase theory and speculate what will happen in the next five years.
{"title":"The First Five Years of a Phase Theory for Complex Systems and Networks","authors":"Dan Wang;Wei Chen;Li Qiu","doi":"10.1109/JAS.2024.124542","DOIUrl":"https://doi.org/10.1109/JAS.2024.124542","url":null,"abstract":"In this paper, we review the development of a phase theory for systems and networks in its first five years, represented by a trilogy: Matrix phases and their properties; The MIMO LTI system phase response, its physical interpretations, the small phase theorem, and the sectored real lemma; The synchronization of a multi-agent network using phase alignment. Towards the end, we also summarize a list of ongoing research on the phase theory and speculate what will happen in the next five years.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhong-Hua Pang;Yumo Zhang;Xueyuan Sun;Shengnan Gao;Guo-Ping Liu
Dear Editor, In this letter, a novel data-driven adaptive predictive control method is proposed using the triangular dynamic linearization technique. The proposed method only contains one time-varying parameter with explicit physical meaning, which can prevent severe deviation in parameter estimation. Specifically, a triangular dynamic linearization (TDL) data model is employed to predict future system outputs, and then to correct inaccurate predictive outputs, a feedback regulator is designed. An autotuned weighing factor is introduced to alleviate the computational burden in practical applications and further improve output tracking performance. Closed-loop stability conditions are derived by rigorous analysis. Simulation results are provided to demonstrate the efficacy of the proposed method.
{"title":"Data-Driven Adaptive Predictive Control Method With Autotuned Weighting Factor for Nonlinear Systems Using Triangular Dynamic Linearization","authors":"Zhong-Hua Pang;Yumo Zhang;Xueyuan Sun;Shengnan Gao;Guo-Ping Liu","doi":"10.1109/JAS.2023.124179","DOIUrl":"https://doi.org/10.1109/JAS.2023.124179","url":null,"abstract":"Dear Editor, In this letter, a novel data-driven adaptive predictive control method is proposed using the triangular dynamic linearization technique. The proposed method only contains one time-varying parameter with explicit physical meaning, which can prevent severe deviation in parameter estimation. Specifically, a triangular dynamic linearization (TDL) data model is employed to predict future system outputs, and then to correct inaccurate predictive outputs, a feedback regulator is designed. An autotuned weighing factor is introduced to alleviate the computational burden in practical applications and further improve output tracking performance. Closed-loop stability conditions are derived by rigorous analysis. Simulation results are provided to demonstrate the efficacy of the proposed method.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":null,"pages":null},"PeriodicalIF":15.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10605732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
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