Pub Date : 2018-06-01DOI: 10.1109/CCDC.2018.8407341
H. Fang, Wenhai Chen, Lixin Gao
In this paper, the stability problem of continuous-time linear system via sampled output is investigated. By assumption that only sampled output can be available, a sampled-data based state observer is provided, by which a controller is constructed for the continuous-time linear system. By using the Lyapunov approach, the stability problem is addressed via our provided control law. Finally, a simulation example is provided to illustrate the efficiency of the theoretical analysis.
{"title":"Stability analysis of continuous-time linear system with sampled-data observer","authors":"H. Fang, Wenhai Chen, Lixin Gao","doi":"10.1109/CCDC.2018.8407341","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407341","url":null,"abstract":"In this paper, the stability problem of continuous-time linear system via sampled output is investigated. By assumption that only sampled output can be available, a sampled-data based state observer is provided, by which a controller is constructed for the continuous-time linear system. By using the Lyapunov approach, the stability problem is addressed via our provided control law. Finally, a simulation example is provided to illustrate the efficiency of the theoretical analysis.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125162249","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8408077
Xiao Min, Shaocheng Tong, Yong-ming Li, Wei Wu
In this paper, an observer-based adaptive fuzzy backstepping control approach is proposed for a class of uncertain nonlinear stochastic systems with the immeasurable states and unknown-time-delays. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed to estimate the unmeasured states. By combining the backstepping design technique, an observer-based adaptive fuzzy control method is developed. It is proved that the proposed adaptive fuzzy control approach can not only guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) in mean square, but also the output of the system converge to a small neighborhood of the origin.
{"title":"Fuzzy output-feedback control for nonlinear stochastic systems with unknown-time-delays","authors":"Xiao Min, Shaocheng Tong, Yong-ming Li, Wei Wu","doi":"10.1109/CCDC.2018.8408077","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408077","url":null,"abstract":"In this paper, an observer-based adaptive fuzzy backstepping control approach is proposed for a class of uncertain nonlinear stochastic systems with the immeasurable states and unknown-time-delays. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed to estimate the unmeasured states. By combining the backstepping design technique, an observer-based adaptive fuzzy control method is developed. It is proved that the proposed adaptive fuzzy control approach can not only guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) in mean square, but also the output of the system converge to a small neighborhood of the origin.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129652027","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8408061
Mingli Lei, Daijun Wei
Community property has been found in many real complex networks. Identifying influence of community is open issue in complex networks. In this paper, we develop method for identifying influence of community, in which community structure is divided by hierarchical agglomerative algorithm (HAA), communities is converted nodes using renormaliztion process, and then a renormalized network is obtained. Then, using state of critical functionality (SCF), influences of nodes of renormalized networks are identified. The proposed method is applied to analyze influence of community of 9/11 terrorist network. The results show that the method is efficient in identifying influential community of complex networks.
{"title":"Identifying influence for community in complex networks","authors":"Mingli Lei, Daijun Wei","doi":"10.1109/CCDC.2018.8408061","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408061","url":null,"abstract":"Community property has been found in many real complex networks. Identifying influence of community is open issue in complex networks. In this paper, we develop method for identifying influence of community, in which community structure is divided by hierarchical agglomerative algorithm (HAA), communities is converted nodes using renormaliztion process, and then a renormalized network is obtained. Then, using state of critical functionality (SCF), influences of nodes of renormalized networks are identified. The proposed method is applied to analyze influence of community of 9/11 terrorist network. The results show that the method is efficient in identifying influential community of complex networks.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129657183","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8407726
Li Yongxue, Zhao Min, Sun Dihua
Pedestrian detection is a necessary means of support in modern traffic management. The error and miss detection rate of traditional pedestrian detection are high due to uneven illumination, dim environment in the tunnel, and the blurred monitored image, which makes it difficult for the subsequent identification. Therefore, in this paper, a fast image enhancement algorithm based on imaging model constraint is proposed and narrowed to the pedestrian ROI in the pavement near the street under the scene of highway tunnel. First, the method uses the combination of global atmospheric light and partitioned atmospheric light to estimate the local atmospheric light. Second, transmission is estimated based on the formula derived from the imaging model constraints. Third, the method uses constant instead of illumination to balance tunnel image illumination. Last, the tunnel image is enhanced according to the imaging model. Furthermore, because of the algorithm's real-time requirement, we propose a narrowing region method to thoroughly improve the overall computing efficiency. Considering about the characteristics of high way tunnel, which is a blurred scene and has difficulty recognizing the foreground from the background, we adopt a method of multi-feature integration to detect the enhanced image. Experimental and comparative analysis results show that the proposed method can rapidly and effectively enhance the tunnel image, and improve the effect of pedestrian detection in high way.
{"title":"A fast image enhancement algorithm for highway tunnel pedestrian detection","authors":"Li Yongxue, Zhao Min, Sun Dihua","doi":"10.1109/CCDC.2018.8407726","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407726","url":null,"abstract":"Pedestrian detection is a necessary means of support in modern traffic management. The error and miss detection rate of traditional pedestrian detection are high due to uneven illumination, dim environment in the tunnel, and the blurred monitored image, which makes it difficult for the subsequent identification. Therefore, in this paper, a fast image enhancement algorithm based on imaging model constraint is proposed and narrowed to the pedestrian ROI in the pavement near the street under the scene of highway tunnel. First, the method uses the combination of global atmospheric light and partitioned atmospheric light to estimate the local atmospheric light. Second, transmission is estimated based on the formula derived from the imaging model constraints. Third, the method uses constant instead of illumination to balance tunnel image illumination. Last, the tunnel image is enhanced according to the imaging model. Furthermore, because of the algorithm's real-time requirement, we propose a narrowing region method to thoroughly improve the overall computing efficiency. Considering about the characteristics of high way tunnel, which is a blurred scene and has difficulty recognizing the foreground from the background, we adopt a method of multi-feature integration to detect the enhanced image. Experimental and comparative analysis results show that the proposed method can rapidly and effectively enhance the tunnel image, and improve the effect of pedestrian detection in high way.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129908803","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8407547
Xianxian Hou, Shaohan Zhu, Li Xia, Gang Wu
Stock market data is extremely large and complicated. In stock prediction research, the selection of technical indicators has not a scientific theory as a guide. This paper proposes a novel method based on Grey Relational Analysis to select the technical indicators. Then make predictions by Support Vector Regression that optimized by improved fruit fly optimization algorithm. Firstly, the fruit fly optimization algorithm is improved by decreasing footstep and simulated annealing. Secondly, the improved fruit fly optimization algorithm is adopted to optimize the penalty factor c and the kernel function parameter g of the support vector regression. Finally, modeling and forecasting of the stock price with optimized support vector regression are conducted and some simulation experiments are carried out. The Support Vector Regression is adept at analyzing small size and multi-dimensional samples, so it is suitable for short-term stock prediction. By comparing with other three methods, the one this paper proposed could fast convergence and improve the accuracy of forecasting and is an efficient and feasible method.
{"title":"Stock price prediction based on Grey Relational Analysis and support vector regression","authors":"Xianxian Hou, Shaohan Zhu, Li Xia, Gang Wu","doi":"10.1109/CCDC.2018.8407547","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407547","url":null,"abstract":"Stock market data is extremely large and complicated. In stock prediction research, the selection of technical indicators has not a scientific theory as a guide. This paper proposes a novel method based on Grey Relational Analysis to select the technical indicators. Then make predictions by Support Vector Regression that optimized by improved fruit fly optimization algorithm. Firstly, the fruit fly optimization algorithm is improved by decreasing footstep and simulated annealing. Secondly, the improved fruit fly optimization algorithm is adopted to optimize the penalty factor c and the kernel function parameter g of the support vector regression. Finally, modeling and forecasting of the stock price with optimized support vector regression are conducted and some simulation experiments are carried out. The Support Vector Regression is adept at analyzing small size and multi-dimensional samples, so it is suitable for short-term stock prediction. By comparing with other three methods, the one this paper proposed could fast convergence and improve the accuracy of forecasting and is an efficient and feasible method.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126874375","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}
One of the areas in the high-temperature continuous casting process that has not been definitively addressed is a method for accurately determining of solidified shell thickness. Therefore, this paper investigates a novel method for non-destructive detection of the solidified shell thickness based on the electromagnetic ultrasonic (EMA) technology. In this method, an electromagnetic ultrasonic transducer (EMAT) was utilized for exciting ultrasonic waves in the continuous casting slab. According to the fact that the propagation velocity of ultrasonic waves is a considerable difference in the solid and liquid metal, the TOF delay caused by the reflection and refraction at a solid-liquid interface of ultrasonic waves has been analyzed. Furthermore, studies on the effect of solidification shell thickness on ultrasonic echoes have been carried out by finite element simulation. Through the construction of the experimental platform, the measured data show close agreement with the simulation results and thus verify the reasonable and feasible of the proposed method which can provide reference for on-line detection of solidified shell thickness during continuous casting.
{"title":"Study on electromagnetic ultrasonic testing method for determining solidified shell thickness during continuous casting","authors":"Qi Ouyang, Mengxue Hu, Xinglan Zhang, Siming Wei, Wen-qiang Peng","doi":"10.1109/CCDC.2018.8407260","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407260","url":null,"abstract":"One of the areas in the high-temperature continuous casting process that has not been definitively addressed is a method for accurately determining of solidified shell thickness. Therefore, this paper investigates a novel method for non-destructive detection of the solidified shell thickness based on the electromagnetic ultrasonic (EMA) technology. In this method, an electromagnetic ultrasonic transducer (EMAT) was utilized for exciting ultrasonic waves in the continuous casting slab. According to the fact that the propagation velocity of ultrasonic waves is a considerable difference in the solid and liquid metal, the TOF delay caused by the reflection and refraction at a solid-liquid interface of ultrasonic waves has been analyzed. Furthermore, studies on the effect of solidification shell thickness on ultrasonic echoes have been carried out by finite element simulation. Through the construction of the experimental platform, the measured data show close agreement with the simulation results and thus verify the reasonable and feasible of the proposed method which can provide reference for on-line detection of solidified shell thickness during continuous casting.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126879382","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8407347
Shunde Li, Yang Qin, Ming-Yuan Yang
With the widely promotion of the internet technology, people are more and more focused on the design and experience of the humanized websites. Therefore visual accessibility website design has become respected. This paper mainly designs visual accessibility website for users with disabilities., and uses the principle of barrier free design philosophy of first application and architecture and industrial design for reference, which is also called general design principles, in order to analyze the problems to be solved of accessibility website design. Meanwhile, it solved the problem of webpage dynamic image visual accessibility control optimization by STML technology (multimedia integrated language technology), and tried to set up sound and image or video synchronous design by SMIL technology[1].in order to accomplish webpage time control. Finall it evaluated real using effect of disabled users by taking WCAG2.0 Web Content Accessibility Guidelines as standard, and took the conclusion parameters as the future website design reference.
随着互联网技术的广泛推广，人性化网站的设计和体验越来越受到人们的关注。因此，视觉无障碍网站设计受到了人们的重视。本文主要为残障用户设计视觉无障碍网站。，并借鉴以应用为先的无障碍设计理念和建筑与工业设计的原则，也称为通用设计原则，来分析无障碍网站设计要解决的问题。同时，利用STML技术(多媒体集成语言技术)解决了网页动态图像视觉可达性控制优化问题，并尝试利用SMIL技术建立声音与图像或视频同步设计[1]。以实现网页时间的控制。最后以WCAG2.0 Web Content Accessibility Guidelines为标准，对残障用户的实际使用效果进行评估，并将结论参数作为未来网站设计的参考。
{"title":"Research on visual information accessible website design system control","authors":"Shunde Li, Yang Qin, Ming-Yuan Yang","doi":"10.1109/CCDC.2018.8407347","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407347","url":null,"abstract":"With the widely promotion of the internet technology, people are more and more focused on the design and experience of the humanized websites. Therefore visual accessibility website design has become respected. This paper mainly designs visual accessibility website for users with disabilities., and uses the principle of barrier free design philosophy of first application and architecture and industrial design for reference, which is also called general design principles, in order to analyze the problems to be solved of accessibility website design. Meanwhile, it solved the problem of webpage dynamic image visual accessibility control optimization by STML technology (multimedia integrated language technology), and tried to set up sound and image or video synchronous design by SMIL technology[1].in order to accomplish webpage time control. Finall it evaluated real using effect of disabled users by taking WCAG2.0 Web Content Accessibility Guidelines as standard, and took the conclusion parameters as the future website design reference.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129074096","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8407804
Ye Yang, Weida Chen, Li Wei
Under the carbon emission reduction policy, iron and steel enterprises are faced with huge pressure of carbon emission reduction. In the process of melting scrap steels using electric furnaces, the heats (jobs) are always assigned with different processing routes, and types of the parallel electric furnaces at each production stage are usually different. First, combining these characteristics, a model considering carbon emission and minimization of maximal heat waiting time for multi-objective optimization of scrap steel electric furnace steelmaking and continuous casting (SCC) scheduling is built. Three objectives, i.e. carbon emission, maximal heat waiting time and makespan, are involved in the model. Then the non-dominated sorting genetic algorithm-II (NSGA-II) suitable for solving the problem is designed accordingly. Finally, the numerical analysis shows that the algorithm can obtain satisfactory solution, considering the objective of minimizing maximal heat waiting time is beneficial to avoid the risk of rescheduling, and the research can help decision makers achieve the target of carbon emission reduction ensuring continuous and efficient SCC production.
{"title":"Multi-objective optimization of scrap steel electric furnace SCC scheduling considering CO2 emission and minimization of maximal heat waiting time","authors":"Ye Yang, Weida Chen, Li Wei","doi":"10.1109/CCDC.2018.8407804","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407804","url":null,"abstract":"Under the carbon emission reduction policy, iron and steel enterprises are faced with huge pressure of carbon emission reduction. In the process of melting scrap steels using electric furnaces, the heats (jobs) are always assigned with different processing routes, and types of the parallel electric furnaces at each production stage are usually different. First, combining these characteristics, a model considering carbon emission and minimization of maximal heat waiting time for multi-objective optimization of scrap steel electric furnace steelmaking and continuous casting (SCC) scheduling is built. Three objectives, i.e. carbon emission, maximal heat waiting time and makespan, are involved in the model. Then the non-dominated sorting genetic algorithm-II (NSGA-II) suitable for solving the problem is designed accordingly. Finally, the numerical analysis shows that the algorithm can obtain satisfactory solution, considering the objective of minimizing maximal heat waiting time is beneficial to avoid the risk of rescheduling, and the research can help decision makers achieve the target of carbon emission reduction ensuring continuous and efficient SCC production.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129214769","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8408160
Liu Wei, Lu Run-ge, L. Xiaolei
Automatic driving has become a extremely hot issue in recent years, and the detection of stop signs is critical for autonomous driving. Different from precious methods in which target features were extracted and then feed to SVM classifier to classify different types of traffic signs, this paper introduces a kind of transfer learning method based on the convolutional neural network(CNN). A deep convolution neural network is trained using a large data sets, and then a valid region convolutional neural network(RCNN) detection can be obtained through a small amount of traffic standard training samples. At the end of this paper, the classic GTSDB data sets and some other data of shenzhen university town are used to show the effectiveness of the transfer learning approach.
{"title":"Traffic sign detection and recognition via transfer learning","authors":"Liu Wei, Lu Run-ge, L. Xiaolei","doi":"10.1109/CCDC.2018.8408160","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408160","url":null,"abstract":"Automatic driving has become a extremely hot issue in recent years, and the detection of stop signs is critical for autonomous driving. Different from precious methods in which target features were extracted and then feed to SVM classifier to classify different types of traffic signs, this paper introduces a kind of transfer learning method based on the convolutional neural network(CNN). A deep convolution neural network is trained using a large data sets, and then a valid region convolutional neural network(RCNN) detection can be obtained through a small amount of traffic standard training samples. At the end of this paper, the classic GTSDB data sets and some other data of shenzhen university town are used to show the effectiveness of the transfer learning approach.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129228228","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 : 2018-06-01DOI: 10.1109/CCDC.2018.8407838
T. Xu, Yang Hou, X. Tian, S. Chai, Chong-ming Song, Jia-song Luo, Yujie Quo, Xin-lei Wang
Aiming at the gas-steam combined cycle system models with complex algorithm structures, the single algorithm simulation software cannot build a friendly man-machine interface. Existing hybrid programming methods that combine MATLAB tools and the foreground interface are restricted by the algebraic loop structure in models and are not able to be applied. A distributed modeling and simulation platform with self-defined interfaces is proposed, which utilizes database as a medium to realize data storage and interaction between the server and clients. And implementation in the gas-steam combined cycle system showed that the proposed platform gave full play to advantages of rapid prototyping's fast iteration, complex control computing capability and the environment-friendly clients' interface. The proposed platform holds effective real-time simulation, strong confidentiality, flexibility, and versatility, which satisfies mass data's simulation and storage need for multiple clients.
{"title":"Research on rapid modeling method and simulation platform of the gas-steam combined cycle system","authors":"T. Xu, Yang Hou, X. Tian, S. Chai, Chong-ming Song, Jia-song Luo, Yujie Quo, Xin-lei Wang","doi":"10.1109/CCDC.2018.8407838","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407838","url":null,"abstract":"Aiming at the gas-steam combined cycle system models with complex algorithm structures, the single algorithm simulation software cannot build a friendly man-machine interface. Existing hybrid programming methods that combine MATLAB tools and the foreground interface are restricted by the algebraic loop structure in models and are not able to be applied. A distributed modeling and simulation platform with self-defined interfaces is proposed, which utilizes database as a medium to realize data storage and interaction between the server and clients. And implementation in the gas-steam combined cycle system showed that the proposed platform gave full play to advantages of rapid prototyping's fast iteration, complex control computing capability and the environment-friendly clients' interface. The proposed platform holds effective real-time simulation, strong confidentiality, flexibility, and versatility, which satisfies mass data's simulation and storage need for multiple clients.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130573640","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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