2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)最新文献

{"title":"Extended Iterative Learning Control for Inconsistent Tracking Problems with Random Dropouts","authors":"Zeyi Zhang, Hao Jiang, D. Shen","doi":"10.1109/DDCLS55054.2022.9858520","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858520","url":null,"abstract":"For the inconsistent tracking problem where the given reference cannot be precisely generated by the system dynamics, it is generally required to achieve the best approximation to the reference trajectory. This study first clarify a general convergence condition of this best tracking performance for the traditional P-type learning control scheme. However, such performance may be no longer achievable under incomplete information such as data dropouts. To resolve this problem, a novel extended iterative learning control scheme is proposed for linear time-varying systems. In this scheme, the tracking errors are modified utilizing the output sampling, which has low-memory footprints and is data driven. The input sequence is proved convergent to the desired input, which produces the closest output to the desired reference in the least-square sense. Numerical simulations are provided to verify the theoretical results.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131149072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Discriminant Analysis Based Fault Diagnosis Scheme for Marine Diesel Engines","authors":"K. Zhong, Jiayi Wang, Donghui Pan","doi":"10.1109/DDCLS55054.2022.9858506","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858506","url":null,"abstract":"Since the marine diesel engine is one of the most popular power equipments for modern shipping, accurate and timely diagnose the faults occurred in diesel engine is extraordinary important for long service life and high reliability. Note that Fisher discriminant analysis (FDA) has been widely applied in fault diagnosis field. However, it is quite susceptible to the small sample size (SSS) problem, which is very common in the running process of diesel engine. In response to the problem, this study pro-poses a new fault classification criterion based exponential discriminant analysis (EDA) scheme for diesel engine fault diagnosis, in which the exponential transformation is carried out first to enlarge the margin between different classes, thus the different fault classes are further separated and the diagnosis capability is enhanced. In addition, the theorems of matrix exponential guarantee that the matrix exp (Sw) is always full-rank, even though the Sw is singular. That means, the novel methodology is still appli-cable when confronts with the SSS problem. Finally, based on the more reasonable fault classification criterion, the simulation results on a real-world two-stroke six-cylinder low-speed marine diesel engine indicate that the EDA based diagnosis scheme achieves higher fault diagnosis accuracy with good robustness and practicability in real-world engineering applications.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"471 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133056969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unknown System Dynamics Estimator for Motion Control of Robotic Manipulator with Flexible Joints","authors":"Yantian Li, Yingbo Huang, J. Na, Xian Wang, Guanbin Gao","doi":"10.1109/DDCLS55054.2022.9858359","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858359","url":null,"abstract":"In this paper, an unknown system dynamic estimator (USDE) with only partial model information is proposed to design a feedback controller for a flexible joint manipulator. In this framework, both the unmodeled dynamics of the system and the effect of flexible joints are estimated and a diagonal matrix is constructed to reduce the computational burden in multi-degree-of-freedom robot control. Furthermore, the USDE-based feedback controller is designed to guarantee the tracking performance. Theoretical analysis is studied in terms of the Lyapunov theory. Finally, comparative numerical simulation results are provided based on Baxter robotic system to demonstrate the feasibility and effectiveness of the proposed method.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115231677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural Network Based Adaptive Consensus Control for a Class of Nonlinear Multi-Agent Systems with Time Delays","authors":"Zuo Wang, Yanzheng Zhu, Liheng Chen","doi":"10.1109/DDCLS55054.2022.9858362","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858362","url":null,"abstract":"This paper studies the tracking consensus control issue for a class of time-delay multi-agent systems. The nonlinear functions usually exist in the practical systems, which can be handled by using the neural network technique. Then, on account of the Lyapunov stability theorem and Lyapunov-Krasovskii functions, it verifies that the tracking consensus errors are semi-globally uniformly ultimately bounded. Finally, the feasibility and effectiveness of the proposed method are verified by a numerical example.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114308997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Second-Order Integral Sliding Mode Control for Underactuated Robotic System","authors":"Pan Hu, Xia Liu, Wenbo Jiang, Yi Guo","doi":"10.1109/DDCLS55054.2022.9858584","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858584","url":null,"abstract":"An optimal second-order integral sliding mode control (OSISMC) strategy is proposed for the stabilization control of underactuated robotic system. The proposed control strategy consists of an optimal control law and a second-order integral sliding mode (SISM) control law. The optimal control law is designed for the nominal system by the state-dependent Riccati equation (SDRE), making the system reach the optimal performance. Then, the optimal control law is introduced into the integral sliding mode surface, ensuring the robustness to the disturbance. In order to weaken the chattering, a SISM sliding surface is further designed and the OSISMC is obtained. The stabilization of the system is proved by Lyapunov theory. The simulation shows that the proposed OSISMC can improve the control performance and reduce the chattering.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114458198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel Multimode Process Soft Sensing Methods Based on the Dynamic Mixture Variational Autoencoder Regression Model","authors":"Linlin Cui, Le Yao, Zhiqiang Ge, Zhihuan Song","doi":"10.1109/DDCLS55054.2022.9858375","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858375","url":null,"abstract":"Modern industrial processes with increasing complexity not only contain nonlinear and multi-mode characteristics, but also are commonly the dynamic processes, which brought challenging problems to soft sensor modeling. In order to solve these problems, a dynamic mixture variational autoencoder regression (DMVAER) model is proposed for the nonlinear multi-mode modeling, which is suitable for industrial process quality prediction with multiple complex process characteristics. Furthermore, in order to deal with the problem of semi-supervised data with a large number of unlabeled samples, a semi-supervised dynamic mixture variational autoencoder regression (ssDMVAER) model is proposed, and the corresponding semi-supervised data sequence division method is adopted to make full use of the information in both labeled data and unlabeled data. Finally, in order to verify the feasibility and effectiveness of the proposed methods, the two models are applied to an actual industrial process of methanation furnace. The results show that the proposed methods have superior soft sensing performance than existing methods.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114838065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracking Control of Two Virtually Coupled Trains via Prescribed Performance Control Method","authors":"Yuqi Jia, Deqing Huang, Xuefang Li","doi":"10.1109/DDCLS55054.2022.9858518","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858518","url":null,"abstract":"As a new concept in railways, virtual coupling has been proven that could reduce the separation between two adjacent trains, and thus increase the railway capacity effectively. However, the shorter separation distance will lead to the stricter requirements for the tracking accuracy. The prescribed performance control method could restrict the convergence rate and the convergence range of the tracking error, thus could improve the tracking accuracy effectively. Based on this, a novel tracking control scheme for two virtually coupled trains under the framework of the prescribed performance control is developed in this paper. To deal with the system uncertainties, a fuzzy logic system is applied to approximate the unknown resistance. At last, the convergence of the proposed controller is proved by virtue of the Lyapunov stability theorem and its effectiveness is analyzed through numerical simulations.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127391943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Fuzzy Asymptotic Tracking Control for Fractional-order Nonlinear Systems with Nonstrict-feedback Structure","authors":"Xiao Li, Yuanxin Li, Weiwei Che","doi":"10.1109/DDCLS55054.2022.9858555","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858555","url":null,"abstract":"This paper solves the adaptive dynamic surface asymptotic tracking control problem of fractional order nonlinear systems(FONSs) with non-strict feedback structure. Firstly, the fuzzy logic systems(FLSs) is utilized to deal with unknown nonlinear functions to eliminate the influence of uncertainties. Secondly, the problem of “explosion of complexity” is solved by designing dynamic surface control(DSC) algorithm. The stability and asymptotic tracking performance of the system are proved by using fractional Lyapunov function theory. Finally, a simulation example is supplied to verify the effectiveness of the control method.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127243865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On a Competition-Reciprocity Network of State-Owned Commercial Banks in Wuhan and Its Statistics Analysis","authors":"Yao-Yi Han, Jie Liu, Hongling Liu, Guidong Liu, Hui Zhou","doi":"10.1109/DDCLS55054.2022.9858440","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858440","url":null,"abstract":"In recent years, the research on the layout and performance evaluation of urban financial services have been a hot and forward issue in the field of econometric research. With the rapid development of the economy and technology, the strength of domestic large commercial banks have been constantly enhanced, which plays an important role in supporting and guaranteeing the development of the local economy and the improvement of people's living standards. At the same time, the competition among commercial banks is becoming more and more fierce. Trying to find out the geographical distribution characteristics of the existing commercial banks in the core cities can not only help the urban financial function planning and management decision-makers arrange the layout of existing banks to serve the real economy and the public life; but also improve the performance of commercial banks. Based on the complex network analysis and visualization analysis method, by using the geographic information data visualization technology, firstly, this paper analyzes the main factors that affect the distribution of outlets of state-owned commercial banks in Wuhan. Our results show that the distribution of outlets of state-owned commercial banks in Wuhan has a significant positive correlation with the output value of the tertiary industry and the number of permanent residents. It also has a significant negative correlation with the output value of the secondary industry. At the same time, by using the data visualization method, we analyzed the geographical distribution characteristics of Wuhan state-owned commercial banks. Secondly, the network of competition reciprocity relationships among outlets was constructed. Finally, this paper gave a quantitative analysis of the digital characteristics of the competition reciprocity network among the existing state-owned commercial banks in Wuhan. The results of this paper can provide some valuable quantitative references for the scientific decision-making practice of optimizing the layout of urban financial functional areas of state-owned commercial banks.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130787304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model-free Adaptive Sliding Mode Control for Interconnected Power Systems under DoS Attacks","authors":"Zongyao Chen, Xuhui Bu, Jinfu Guo","doi":"10.1109/DDCLS55054.2022.9858367","DOIUrl":"https://doi.org/10.1109/DDCLS55054.2022.9858367","url":null,"abstract":"In this paper, a new model-free adaptive sliding mode load frequency control (LFC) scheme is designed for inter-connected power systems, where modeling is difficult and suffers from load change disturbances and denial of service (DoS) attacks. The proposed algorithm only uses real-time I/O data of the power system to achieve a high control performance. Firstly, the dynamic linearization strategy is used to build a data-based model of the power system, and intermittent DoS attacks are modeled by limiting their duration and frequency. Secondly, the model-free adaptive sliding mode control (MFASMC) scheme is designed based on optimization theory and sliding mode reaching law, and its stability is analyzed. Finally, the three-area interconnected power system was selected to test the presented MFASMC scheme. Simulation data shows the effectiveness of the LFC algorithm in this paper.","PeriodicalId":412672,"journal":{"name":"2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129236915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}