Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162067
Lv Chao, Wang Jing, Jin Qibing, Zhou Jinglin, Wu HaiYan
Particle size distribution (PSD) control is very complicated to realize due to the absence of effective measuring methods for PSD. In order to solve this problem, an iteration learning control strategy based on the moment generation network model is proposed. The tracking control of PSD which cannot be measured online is converted into the measurable moment control. There are two steps to develop the control strategy. Firstly, a moment generation network is built to construct the relationship between the moment and process measurements. Then an iteration learning control strategy is designed to drive the process to achieve a target PSD according to the repetitive nature of the process. The cobalt oxalate synthesis process was selected to test the performance of the control strategy. The experimental results demonstrated that the approach had a strong ability in convergence and resisting disturbance.
{"title":"Iteration control of particle size distribution in cobalt oxalate process based on moment generation network","authors":"Lv Chao, Wang Jing, Jin Qibing, Zhou Jinglin, Wu HaiYan","doi":"10.1109/CCDC.2015.7162067","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162067","url":null,"abstract":"Particle size distribution (PSD) control is very complicated to realize due to the absence of effective measuring methods for PSD. In order to solve this problem, an iteration learning control strategy based on the moment generation network model is proposed. The tracking control of PSD which cannot be measured online is converted into the measurable moment control. There are two steps to develop the control strategy. Firstly, a moment generation network is built to construct the relationship between the moment and process measurements. Then an iteration learning control strategy is designed to drive the process to achieve a target PSD according to the repetitive nature of the process. The cobalt oxalate synthesis process was selected to test the performance of the control strategy. The experimental results demonstrated that the approach had a strong ability in convergence and resisting disturbance.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"35 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114129827","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162389
Zhuohua Duan, Hui Ma, Liang Yang
Fault detection and diagnosis is an important issue for mobile robots, especially for the case that the dynamics of fault models are unknown, where the samples of fault models are difficult to obtain. Support vector data description (SVDD) is an useful tool for model construction based only on one class of samples. This paper presents a fault detection method for mobile robots internal sensors based on SVDD. It assumes that only the samples from the normal model are available. The presented method firstly builds an compact hypersphere for these normal samples based on SVDD, then a new test data is validated with the obtained hypersphere. Simulation results of mobile robot fault detection show the accuracy of the method.
{"title":"Fault detection for internal sensors of mobile robots based on support vector data description","authors":"Zhuohua Duan, Hui Ma, Liang Yang","doi":"10.1109/CCDC.2015.7162389","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162389","url":null,"abstract":"Fault detection and diagnosis is an important issue for mobile robots, especially for the case that the dynamics of fault models are unknown, where the samples of fault models are difficult to obtain. Support vector data description (SVDD) is an useful tool for model construction based only on one class of samples. This paper presents a fault detection method for mobile robots internal sensors based on SVDD. It assumes that only the samples from the normal model are available. The presented method firstly builds an compact hypersphere for these normal samples based on SVDD, then a new test data is validated with the obtained hypersphere. Simulation results of mobile robot fault detection show the accuracy of the method.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114151354","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162241
Jiang Xin-liang, Zhao Jian-min, Li Zhi-wei, Zhang Xiu-ping
In order to solve the problems of decision-making on inspection intervals of hidden functional failures for electronic equipment, a mathematical model was developed using probability and stochastic process theories. The maintenance costs were modeled by using the concept of delay time and considering the imperfect inspections. The optimal intervals of inspections were obtained by minimizing expected maintenance cost per unit time. And then, the corresponding optimization algorithm was presented, and an example was provided to show the optimization process and rectify the effectiveness of the algorithm.
{"title":"Hidden functional failure detection model of electronic equipment","authors":"Jiang Xin-liang, Zhao Jian-min, Li Zhi-wei, Zhang Xiu-ping","doi":"10.1109/CCDC.2015.7162241","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162241","url":null,"abstract":"In order to solve the problems of decision-making on inspection intervals of hidden functional failures for electronic equipment, a mathematical model was developed using probability and stochastic process theories. The maintenance costs were modeled by using the concept of delay time and considering the imperfect inspections. The optimal intervals of inspections were obtained by minimizing expected maintenance cost per unit time. And then, the corresponding optimization algorithm was presented, and an example was provided to show the optimization process and rectify the effectiveness of the algorithm.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114440741","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162274
L. Huai
There are a large quantity of control loops in an Networked Control Systems (NCSs) and a control loop consists of two message tasks and a control task which are interactional and interrelated and run on different kinds of resources. For asynchronous NCS, a new algorithm is presented in this paper to schedule these tasks. In our algorithm, the precedence constraints among the subtasks of a loop can be met by controlling their start times and finish times. And the second message tasks of all the loop tasks are arranged according to backward non-preemptive EDF. The first message tasks of all loop tasks are scheduled according to non-preemptive EDF. The algorithm for assigning control tasks to processors is designed and control tasks are scheduled according to their available times. The experiment results show that the algorithm can schedule message tasks and control tasks effectively.
{"title":"Scheduling algorithm for tasks and messages in asynchronous networked control systems","authors":"L. Huai","doi":"10.1109/CCDC.2015.7162274","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162274","url":null,"abstract":"There are a large quantity of control loops in an Networked Control Systems (NCSs) and a control loop consists of two message tasks and a control task which are interactional and interrelated and run on different kinds of resources. For asynchronous NCS, a new algorithm is presented in this paper to schedule these tasks. In our algorithm, the precedence constraints among the subtasks of a loop can be met by controlling their start times and finish times. And the second message tasks of all the loop tasks are arranged according to backward non-preemptive EDF. The first message tasks of all loop tasks are scheduled according to non-preemptive EDF. The algorithm for assigning control tasks to processors is designed and control tasks are scheduled according to their available times. The experiment results show that the algorithm can schedule message tasks and control tasks effectively.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114476548","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162652
T. Lan, Maoyun Guo, J. Qu, Yi Chai, Zhenglei Liu, Xunjie Zhang
In order to improve the traditional Particle Swarm Optimization (PSO) algorithm's speed and optimization ability, this paper proposes a new algorithm based on CUDA (Compute Unified Device Architecture) technology which employs the two level PSO, the bottom level PSO and the top level PSO. And in the bottom level, the particles are divided into N groups, each of which will run the PSO and send the best particle to the top level individually to achieve better convergency. And the algorithm applys the CUDA threads to run the above PSO at different levels parallel to accelerate the algorithm speed. The simulation results show that the performance of the algorithm the paper provided is better than that of the traditional PSO.
{"title":"CUDA-based hierarchical multi-block particle swarm optimization algorithm","authors":"T. Lan, Maoyun Guo, J. Qu, Yi Chai, Zhenglei Liu, Xunjie Zhang","doi":"10.1109/CCDC.2015.7162652","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162652","url":null,"abstract":"In order to improve the traditional Particle Swarm Optimization (PSO) algorithm's speed and optimization ability, this paper proposes a new algorithm based on CUDA (Compute Unified Device Architecture) technology which employs the two level PSO, the bottom level PSO and the top level PSO. And in the bottom level, the particles are divided into N groups, each of which will run the PSO and send the best particle to the top level individually to achieve better convergency. And the algorithm applys the CUDA threads to run the above PSO at different levels parallel to accelerate the algorithm speed. The simulation results show that the performance of the algorithm the paper provided is better than that of the traditional PSO.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121987174","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7161665
Kairui Chen, Junwei Wang, Yun Zhang
This paper studies the leader-following consensus problem of general multi-agent systems, in which dynamics of all agents are affected by unknown nonlinear dynamics. By parameterizing the unknown nonlinear terms, a distributed adaptive consensus algorithm is proposed for each follower agent. With a modified labeling rule, consensus analysis is conducted for the multi-agent systems with jointly connected topology based on algebraic graph theory and Lyapunov theory. Finally, a simulation example is provided to validate the theoretical results.
{"title":"Adaptive leader-following consensus of nonlinear multi-agent systems with jointly connected topology","authors":"Kairui Chen, Junwei Wang, Yun Zhang","doi":"10.1109/CCDC.2015.7161665","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161665","url":null,"abstract":"This paper studies the leader-following consensus problem of general multi-agent systems, in which dynamics of all agents are affected by unknown nonlinear dynamics. By parameterizing the unknown nonlinear terms, a distributed adaptive consensus algorithm is proposed for each follower agent. With a modified labeling rule, consensus analysis is conducted for the multi-agent systems with jointly connected topology based on algebraic graph theory and Lyapunov theory. Finally, a simulation example is provided to validate the theoretical results.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122156329","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162572
Hu Tao, Wang Jingcheng, Zhang Lang-wen
Penetration Rate is an important parameter of hard rock tunnel boring machine (TBM) in tunneling project. The prediction accuracy of Penetration Rate has great effect on the successful accomplishment of tunneling project. The aim of this paper is to predict the penetration rate and rank the importance of rock mass properties via Random Forests algorithm. Random Forests is a high accuracy regression algorithm, which is not prone to over fitting and has good tolerance to outliers and noise. A database including actual, measured penetration rates and several rock mass properties are established by using the data collected from a real tunnel project. Based on the database, we use random forests algorithm to model the penetration rate of the tunnel project. The simulation results show that the random forest based prediction model has better predictive accuracy and can sort the features of rock mass properties (UCS, BTS, PSI, DPW and alpha) by the importance.
{"title":"Prediction of hard rock TBM penetration rate using random forests","authors":"Hu Tao, Wang Jingcheng, Zhang Lang-wen","doi":"10.1109/CCDC.2015.7162572","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162572","url":null,"abstract":"Penetration Rate is an important parameter of hard rock tunnel boring machine (TBM) in tunneling project. The prediction accuracy of Penetration Rate has great effect on the successful accomplishment of tunneling project. The aim of this paper is to predict the penetration rate and rank the importance of rock mass properties via Random Forests algorithm. Random Forests is a high accuracy regression algorithm, which is not prone to over fitting and has good tolerance to outliers and noise. A database including actual, measured penetration rates and several rock mass properties are established by using the data collected from a real tunnel project. Based on the database, we use random forests algorithm to model the penetration rate of the tunnel project. The simulation results show that the random forest based prediction model has better predictive accuracy and can sort the features of rock mass properties (UCS, BTS, PSI, DPW and alpha) by the importance.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818342","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7161796
Ling Xu
This paper presents a system modeling method for an multi-stage operational amplifier circuit based on the step response experiment. By taking an step voltage signal as the input, the measure data are collected for estimating the system parameters. By defining and minimizing an output error criterion function, a Newton iterative estimation algorithm is derived. In order to show the accuracy of the estimated circuit model, we use a proportional integral controller and construct a closed-loop operational amplifier circuit in terms of the estimated circuit model. Moreover, we take a step experiment to test the tracking performance of the operational amplifier circuit. The simulation results indicate that the proposed method can generate the parameter estimates of the multi-stage operational amplifier circuit system.
{"title":"Newton iterative method for the system modeling based on the step responses signal to the multi-stage operational amplifier circuit","authors":"Ling Xu","doi":"10.1109/CCDC.2015.7161796","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161796","url":null,"abstract":"This paper presents a system modeling method for an multi-stage operational amplifier circuit based on the step response experiment. By taking an step voltage signal as the input, the measure data are collected for estimating the system parameters. By defining and minimizing an output error criterion function, a Newton iterative estimation algorithm is derived. In order to show the accuracy of the estimated circuit model, we use a proportional integral controller and construct a closed-loop operational amplifier circuit in terms of the estimated circuit model. Moreover, we take a step experiment to test the tracking performance of the operational amplifier circuit. The simulation results indicate that the proposed method can generate the parameter estimates of the multi-stage operational amplifier circuit system.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117083226","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162818
Dong Huiying, Jiang Tengguang
For the mobile machine vision navigation process will encounter obstacles, this paper presents a fast obstacle recognition algorithm based on super pixels. First, reduce the resolution of the captured image in order to ensure real-time, and then using the SLIC super-pixel image processing algorithms. Finally, adopting the SAD method for classification estimates whether the pixel belongs to the obstacle. Experimental results show that the algorithm can quickly identify obstacles, playing an important role in visual navigation for mobile robots.
{"title":"Rapid detection of obstacle based on super pixels","authors":"Dong Huiying, Jiang Tengguang","doi":"10.1109/CCDC.2015.7162818","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162818","url":null,"abstract":"For the mobile machine vision navigation process will encounter obstacles, this paper presents a fast obstacle recognition algorithm based on super pixels. First, reduce the resolution of the captured image in order to ensure real-time, and then using the SLIC super-pixel image processing algorithms. Finally, adopting the SAD method for classification estimates whether the pixel belongs to the obstacle. Experimental results show that the algorithm can quickly identify obstacles, playing an important role in visual navigation for mobile robots.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516916","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 : 2015-05-23DOI: 10.1109/CCDC.2015.7162718
Zhao Xiao-qiang, He Zhi-e
Scheduling of water resources is the rational utilization of water resources and the main way and effective means to solve the shortage of water resources, it has some characteristics of more users, more water, multi-level and multi-objective. Chaos genetic algorithm (CGA) can be solved in the process of water resources scheduling problem such as slow convergence speed, easy to fall into local optimization, but there are some limitations in the practical application. In this paper, by using multi-objective decision scheduling, real-time and regularity of rainfall will be combined with chaos genetic algorithm (GA), a more reasonable adjustment of water supply, water resources allocation optimization. The simulation results show that multi-objective decision-making based on chaos genetic algorithm can better satisfy user needs, stick to the waste water, improve the satisfaction degree of the water, more comprehensive benefits.
{"title":"The multi-objective water resources optimization scheduling based on chaos genetic algorithm","authors":"Zhao Xiao-qiang, He Zhi-e","doi":"10.1109/CCDC.2015.7162718","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162718","url":null,"abstract":"Scheduling of water resources is the rational utilization of water resources and the main way and effective means to solve the shortage of water resources, it has some characteristics of more users, more water, multi-level and multi-objective. Chaos genetic algorithm (CGA) can be solved in the process of water resources scheduling problem such as slow convergence speed, easy to fall into local optimization, but there are some limitations in the practical application. In this paper, by using multi-objective decision scheduling, real-time and regularity of rainfall will be combined with chaos genetic algorithm (GA), a more reasonable adjustment of water supply, water resources allocation optimization. The simulation results show that multi-objective decision-making based on chaos genetic algorithm can better satisfy user needs, stick to the waste water, improve the satisfaction degree of the water, more comprehensive benefits.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129789779","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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