Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068061
Fangming Li, Jian Feng, Senxiang Lu, Jinhai Liu, Yu Yao
Magnetic flux leakage (MFL) inspection is one of the most commonly used nondestructive testing (NDE) technologies. This paper proposes a novel method for classifying the MFL response segments based on convolution neural network (CNN). In order to skip the procedure of saving the normalized MFL segment and save some computing time, a normalization layer is added to the proposed model. Moreover, the rectified linear units (ReLUs) is employed as the activation functions in the convolution layers to allow the proposed model to easily obtain sparse representations. The performance of the proposed model is tested by the real MFL data collected from the experimental pipelines. The results demonstrate that the presented method can achieve a satisfactory accuracy of MFL response segment classification and can be applied to practical application.
{"title":"Convolution neural network for classification of magnetic flux leakage response segments","authors":"Fangming Li, Jian Feng, Senxiang Lu, Jinhai Liu, Yu Yao","doi":"10.1109/DDCLS.2017.8068061","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068061","url":null,"abstract":"Magnetic flux leakage (MFL) inspection is one of the most commonly used nondestructive testing (NDE) technologies. This paper proposes a novel method for classifying the MFL response segments based on convolution neural network (CNN). In order to skip the procedure of saving the normalized MFL segment and save some computing time, a normalization layer is added to the proposed model. Moreover, the rectified linear units (ReLUs) is employed as the activation functions in the convolution layers to allow the proposed model to easily obtain sparse representations. The performance of the proposed model is tested by the real MFL data collected from the experimental pipelines. The results demonstrate that the presented method can achieve a satisfactory accuracy of MFL response segment classification and can be applied to practical application.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128306313","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068127
B. Chu, D. Owens, C. Freeman, Yanhong Liu
This paper proposes a novel point-to-point iterative learning control (ILC) algorithm for high performance trajectory tracking applications. Based on a successive project formulation of the point-to-point ILC design problem, two point-to-point ILC design algorithms are derived: one algorithm reCovers the norm optimal point to point ILC algorithm with a desirable physical property of converging to the minimum norm (energy) solution, and the other one (interestingly) accelerates convergence speed which could lead to significant reduction in system configuration time/cost. Numerical results are provided to demonstrate the proposed algorithms' effectiveness.
{"title":"Point-to-point ILC with accelerated convergence","authors":"B. Chu, D. Owens, C. Freeman, Yanhong Liu","doi":"10.1109/DDCLS.2017.8068127","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068127","url":null,"abstract":"This paper proposes a novel point-to-point iterative learning control (ILC) algorithm for high performance trajectory tracking applications. Based on a successive project formulation of the point-to-point ILC design problem, two point-to-point ILC design algorithms are derived: one algorithm reCovers the norm optimal point to point ILC algorithm with a desirable physical property of converging to the minimum norm (energy) solution, and the other one (interestingly) accelerates convergence speed which could lead to significant reduction in system configuration time/cost. Numerical results are provided to demonstrate the proposed algorithms' effectiveness.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129279036","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8067717
Minnan Piao, Kai Zhu, Mingwei Sun, Zenghui Wang, Zengqiang Chen
Active Disturbance Rejection Control (ADRC), an innovative control method, has been applied successfully in dealing with internal uncertainties and external disturbances. However, ADRC for time-delay plants is still a challenge due to the restriction on the bandwidth of the extended state observer (ESO). When designing the ESO for time-delay plants, both full-order and reduced-order extended state observers can be utilized and the selection of the proper order and the bandwidth of the ESO is necessary. Therefore we seek to compare the two kinds of observers in terms of the time-delay tolerance of the closed-loop stability and find an appropriate bandwidth to ensure the robustness to the time-delay uncertainty. First, the quantitative bandwidth relationship between the two kinds of observers is established with the equivalent effective bandwidth, and then the time-delay tolerance of the closed-loop stability are calculated for the first- and second-order plants to conduct the comparison, whilst the effects of the bandwidth and other parameters on the time-delay tolerance is analyzed. Furthermore, simulation results for a second-order plant are provided to verify the meaning of this investigation.
{"title":"Quantitative relationship in terms of time-delay tolerance of two kinds of extended state observers","authors":"Minnan Piao, Kai Zhu, Mingwei Sun, Zenghui Wang, Zengqiang Chen","doi":"10.1109/DDCLS.2017.8067717","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8067717","url":null,"abstract":"Active Disturbance Rejection Control (ADRC), an innovative control method, has been applied successfully in dealing with internal uncertainties and external disturbances. However, ADRC for time-delay plants is still a challenge due to the restriction on the bandwidth of the extended state observer (ESO). When designing the ESO for time-delay plants, both full-order and reduced-order extended state observers can be utilized and the selection of the proper order and the bandwidth of the ESO is necessary. Therefore we seek to compare the two kinds of observers in terms of the time-delay tolerance of the closed-loop stability and find an appropriate bandwidth to ensure the robustness to the time-delay uncertainty. First, the quantitative bandwidth relationship between the two kinds of observers is established with the equivalent effective bandwidth, and then the time-delay tolerance of the closed-loop stability are calculated for the first- and second-order plants to conduct the comparison, whilst the effects of the bandwidth and other parameters on the time-delay tolerance is analyzed. Furthermore, simulation results for a second-order plant are provided to verify the meaning of this investigation.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129144940","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068084
Xiaoxia Han, Lei Ma, Kun Feng
The distributed Coverage control of networked heterogeneous mobile robots is proposed. The heterogeneous robots are driven to their centroid of multiplicatively-weighted Voronoi regions under the action of the proposed control law, the target position is modified in real-time based on the density distribution of the environment. Two types driving mechanisms are considered in this paper, different control methods are used to drive different robots to their target positions. Simulative and experimental results are given to verify the effectiveness of the improved Coverage algorithm.
{"title":"Distributed coverage control of networked heterogeneous robots","authors":"Xiaoxia Han, Lei Ma, Kun Feng","doi":"10.1109/DDCLS.2017.8068084","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068084","url":null,"abstract":"The distributed Coverage control of networked heterogeneous mobile robots is proposed. The heterogeneous robots are driven to their centroid of multiplicatively-weighted Voronoi regions under the action of the proposed control law, the target position is modified in real-time based on the density distribution of the environment. Two types driving mechanisms are considered in this paper, different control methods are used to drive different robots to their target positions. Simulative and experimental results are given to verify the effectiveness of the improved Coverage algorithm.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129203105","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068099
Yu-ping Qin, Fengfeng Qin, Q. Leng, Aihua Zhang
Aim to multiclass text categorization problem, a classification algorithm based on multiconlitron and 1-a-r method is presented. 1-a-r method is used to convert a multiclass categorization problem to several binary problems. Multiconlitron is constructed for each binary problem in input space. For the text to be classified, its class is decided by multiconlitrons. The classification experiments are made on the Reuters 21578. Experimental results indicate that the proposed algorithm has better classification performance compare with 1-a-r SVMs.
{"title":"On multiclass text classification algorithm based on 1-a-r and multiconlitron","authors":"Yu-ping Qin, Fengfeng Qin, Q. Leng, Aihua Zhang","doi":"10.1109/DDCLS.2017.8068099","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068099","url":null,"abstract":"Aim to multiclass text categorization problem, a classification algorithm based on multiconlitron and 1-a-r method is presented. 1-a-r method is used to convert a multiclass categorization problem to several binary problems. Multiconlitron is constructed for each binary problem in input space. For the text to be classified, its class is decided by multiconlitrons. The classification experiments are made on the Reuters 21578. Experimental results indicate that the proposed algorithm has better classification performance compare with 1-a-r SVMs.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116516946","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}
The system health management technology uses observation data, system models, and relative intelligent algorithms to monitor system anomaly, evaluate system degradation, predict residual life, and further determine the corresponding maintenance and operation strategy. Recently, the in-orbit management work of spacecraft in China focuses on fault detection and diagnosis, whereas the spacecraft's health management technology stays in the framework study status. For the spacecraft's health monitoring, the theory and algorithm are important to support practical engineering. Therefore, this paper introduces the profust-reliability-based health monitoring method into the in-orbit management work of spacecraft. This method analyzes telemetry parameters of spacecraft, and calculates the profust reliability of telemetry parameters, component, and system, respectively. Then, the health level of the spacecraft is classified according to the calculated profust reliability value. This method provides a new thought to the in-orbit management work of spacecraft. The simulation result shows that this method can effectively evaluate the health status of spacecraft system.
{"title":"A profust-reliability-based health monitoring technique of spacecraft","authors":"Bo-neng Tan, Hai-Yan Yu, Jinlun Zhou, Danni Nian, Zhiyao Zhao","doi":"10.1109/DDCLS.2017.8068115","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068115","url":null,"abstract":"The system health management technology uses observation data, system models, and relative intelligent algorithms to monitor system anomaly, evaluate system degradation, predict residual life, and further determine the corresponding maintenance and operation strategy. Recently, the in-orbit management work of spacecraft in China focuses on fault detection and diagnosis, whereas the spacecraft's health management technology stays in the framework study status. For the spacecraft's health monitoring, the theory and algorithm are important to support practical engineering. Therefore, this paper introduces the profust-reliability-based health monitoring method into the in-orbit management work of spacecraft. This method analyzes telemetry parameters of spacecraft, and calculates the profust reliability of telemetry parameters, component, and system, respectively. Then, the health level of the spacecraft is classified according to the calculated profust reliability value. This method provides a new thought to the in-orbit management work of spacecraft. The simulation result shows that this method can effectively evaluate the health status of spacecraft system.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124086539","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068149
Zhe Dong, Wenjuan Liu, Yueheng Li, Jie Han, Mengjiao Chen
Ozone is considered as one of the strongest oxidizing agent, yet it leaves no residues that are harmful to global environment. In this paper, the close loop control of ozone generator has been studied. The main concern of this issue is to achieve desired ozone concentration. Due to the ozone generation process is a complex nonlinear multivariable system, which is difficult to model and regulate, thus a date-driven neuro-control method is adopted to construct the dynamics of the system, and the adaptive dynamic programming algorithm(ADP) is used for controller design and optimization. According to the hardware-in-loop simulation, the ozone generation process can be effectively approximated by the neuro-network model, and the concentration and flow rate of ozone can be tracked by the ADP controller.
{"title":"Data-driven neuro-optimal tracking control of ozone generation process based on adaptive dynamic programming","authors":"Zhe Dong, Wenjuan Liu, Yueheng Li, Jie Han, Mengjiao Chen","doi":"10.1109/DDCLS.2017.8068149","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068149","url":null,"abstract":"Ozone is considered as one of the strongest oxidizing agent, yet it leaves no residues that are harmful to global environment. In this paper, the close loop control of ozone generator has been studied. The main concern of this issue is to achieve desired ozone concentration. Due to the ozone generation process is a complex nonlinear multivariable system, which is difficult to model and regulate, thus a date-driven neuro-control method is adopted to construct the dynamics of the system, and the adaptive dynamic programming algorithm(ADP) is used for controller design and optimization. According to the hardware-in-loop simulation, the ozone generation process can be effectively approximated by the neuro-network model, and the concentration and flow rate of ozone can be tracked by the ADP controller.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115806402","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}
The Tujia nationality's brocade (short as Tujia brocade or Xilankapu) is one of the Tujia traditional handicrafts; it has been widely used in Tujia people's daily life, especially for the people reside in the YouShui River Basin. Tujia brocade not only has many varieties, manifestations and performance styles, but also very rich design patterns, these exhibits aesthetic sentiment and national consciousness. It is important effect on the deep excavation of Tujia brocade culture and virtual design by analyzing the compositional structure and structural parameters of Tujia brocade, The paper deconstructs and analysis the structures of Tujia brocade, discusses the hierarchical composition and structure parameter in the analysis of a large number of traditional classic patterns. It develops Tujia brocade structure simulation and interactive design system based on Unity 3D technology, which simulates innovative patterns and presents them visually by changing the compositional structure parameters values, these vector diagrams of Tujia brocade could be directly used in the intelligent machine production.
{"title":"On compositional structure simulation and interactive design of Tujia brocade","authors":"Gang Zhao, Yawen Chen, Bingbing Di, Shuai Lu, Yali Yu, Hui Zan","doi":"10.1109/DDCLS.2017.8068130","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068130","url":null,"abstract":"The Tujia nationality's brocade (short as Tujia brocade or Xilankapu) is one of the Tujia traditional handicrafts; it has been widely used in Tujia people's daily life, especially for the people reside in the YouShui River Basin. Tujia brocade not only has many varieties, manifestations and performance styles, but also very rich design patterns, these exhibits aesthetic sentiment and national consciousness. It is important effect on the deep excavation of Tujia brocade culture and virtual design by analyzing the compositional structure and structural parameters of Tujia brocade, The paper deconstructs and analysis the structures of Tujia brocade, discusses the hierarchical composition and structure parameter in the analysis of a large number of traditional classic patterns. It develops Tujia brocade structure simulation and interactive design system based on Unity 3D technology, which simulates innovative patterns and presents them visually by changing the compositional structure parameters values, these vector diagrams of Tujia brocade could be directly used in the intelligent machine production.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132560595","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068135
H. Yuan, Yuan Gao, X. Dai, L. Yu
It presents a sliding mode strategy integrated with rear angle and yaw moment to control the four-wheel-steering vehicle. The slip angle and yaw rate of vehicle gravity center are controlled variables. One input of sliding mode controller is the front steering angle which is measured by sensor, while others are estimated values of disturbance bound and the errors of slip angle and yaw rate. Furthermore, the disturbance bound estimator, and sliding mode controller of rear wheel angle and yaw moment are designed based on the dynamic model and ideal vehicle steering model. The results show that the sliding mode control strategy presents good performance and robustness under different driving conditions. After changing vehicle parameters, it found that maneuverability and stability of the vehicle was guaranteed through tracking the yaw rate and zero degree of side slip angle.
{"title":"Four-wheel-steering vehicle control via sliding mode strategy","authors":"H. Yuan, Yuan Gao, X. Dai, L. Yu","doi":"10.1109/DDCLS.2017.8068135","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068135","url":null,"abstract":"It presents a sliding mode strategy integrated with rear angle and yaw moment to control the four-wheel-steering vehicle. The slip angle and yaw rate of vehicle gravity center are controlled variables. One input of sliding mode controller is the front steering angle which is measured by sensor, while others are estimated values of disturbance bound and the errors of slip angle and yaw rate. Furthermore, the disturbance bound estimator, and sliding mode controller of rear wheel angle and yaw moment are designed based on the dynamic model and ideal vehicle steering model. The results show that the sliding mode control strategy presents good performance and robustness under different driving conditions. After changing vehicle parameters, it found that maneuverability and stability of the vehicle was guaranteed through tracking the yaw rate and zero degree of side slip angle.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133979840","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}
Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068044
Jiaxi Chen, Junmi Li, Jinsha Li
This paper investigates the adaptive consensus problem of first-order linearly parameterized multi-agent systems (MASs) with imprecise communication topology structure. T-S fuzzy models are presented to describe leader-followers MASs with imprecise communication topology structure, and a fuzzy distributed adaptive iterative learning control protocol is proposed. With the dynamic of leader unknown to any of the agent, the proposed protocol guarantees that the follower agents can track the leader uniformly on [0, T] for consensus problem. A numerical example is provided to show the effectiveness of the theoretical results.
{"title":"Fuzzy adaptive iterative learning control for consensus of multi-agent systems with imprecise communication topology structure","authors":"Jiaxi Chen, Junmi Li, Jinsha Li","doi":"10.1109/DDCLS.2017.8068044","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068044","url":null,"abstract":"This paper investigates the adaptive consensus problem of first-order linearly parameterized multi-agent systems (MASs) with imprecise communication topology structure. T-S fuzzy models are presented to describe leader-followers MASs with imprecise communication topology structure, and a fuzzy distributed adaptive iterative learning control protocol is proposed. With the dynamic of leader unknown to any of the agent, the proposed protocol guarantees that the follower agents can track the leader uniformly on [0, T] for consensus problem. A numerical example is provided to show the effectiveness of the theoretical results.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844843","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}
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