Pub Date : 2011-06-21DOI: 10.1109/WCICA.2011.5970720
Taifu Li, Jun Yi, Yingying Su, Wenjing Hu, C. Yu
A novel method based on partial least-squares regression (PLS) and false nearest neighbor method (FNN) is proposed on select the most suitable secondary process variables used as soft sensing inputs. In the proposed approach, the PLS can be employed to overcome difficulties encountered with the existing multicollinearity between the factors. In the new orthogonal space, it is inspired by FNN that interpretation of primary variable would be estimated by calculating the variables' relativity in the low-dimensional space to select secondary variables. The least square method can be used to get a soft-sensing model after the variables selection. The variable selection results of structure sample demonstrate that the method is effective and suitable for variable selection.
{"title":"Reduction of secondary variables on soft-sensing model based on similarity in feature subspace","authors":"Taifu Li, Jun Yi, Yingying Su, Wenjing Hu, C. Yu","doi":"10.1109/WCICA.2011.5970720","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970720","url":null,"abstract":"A novel method based on partial least-squares regression (PLS) and false nearest neighbor method (FNN) is proposed on select the most suitable secondary process variables used as soft sensing inputs. In the proposed approach, the PLS can be employed to overcome difficulties encountered with the existing multicollinearity between the factors. In the new orthogonal space, it is inspired by FNN that interpretation of primary variable would be estimated by calculating the variables' relativity in the low-dimensional space to select secondary variables. The least square method can be used to get a soft-sensing model after the variables selection. The variable selection results of structure sample demonstrate that the method is effective and suitable for variable selection.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129609124","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970633
Yanhua Wu, Dong Sun, Wenhao Huang
Optical tweezers utilize highly focused laser beam to produce optical forces on the object, and can be used for trapping, orienting and moving micro-/nano-scaled particles, ideally for biological cells. At present time, the majority of tasks with optical tweezers are carried out manually. Increasing demands for both accuracy and efficiency in cell manipulation highlight the need for automation process that integrates robotics and optical tweezer technologies. In this paper, we propose to use a robot-tweezer manipulation system to automatically transport cells. We calibrate the forces applied to the trapped cell by a dynamic viscous-drag-force method to determine the optimal motion parameters, and adopt a modified A-star algorithm for path planning during automated transportation. Experiments are performed on manipulating living cells to demonstrate the effectiveness of the proposed approach.
{"title":"Force and motion analysis for automated cell transportation with optical tweezers","authors":"Yanhua Wu, Dong Sun, Wenhao Huang","doi":"10.1109/WCICA.2011.5970633","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970633","url":null,"abstract":"Optical tweezers utilize highly focused laser beam to produce optical forces on the object, and can be used for trapping, orienting and moving micro-/nano-scaled particles, ideally for biological cells. At present time, the majority of tasks with optical tweezers are carried out manually. Increasing demands for both accuracy and efficiency in cell manipulation highlight the need for automation process that integrates robotics and optical tweezer technologies. In this paper, we propose to use a robot-tweezer manipulation system to automatically transport cells. We calibrate the forces applied to the trapped cell by a dynamic viscous-drag-force method to determine the optimal motion parameters, and adopt a modified A-star algorithm for path planning during automated transportation. Experiments are performed on manipulating living cells to demonstrate the effectiveness of the proposed approach.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"65 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130996182","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970607
Yulin Nong, Zaikang Qi, D. Lin
The usage of system identification has been increasing in small unmanned aerial vehicle (UAV) model development. Most of previous methods for small UAV model identification has limitations in deriving an accurate model with wide frequency spectrum, or the identification results rely on the selection of weight parameters. These motive us to seek an efficient method to obtain accurate small UAV models. The method proposed in this paper uses pseudo-random signal (PRS) as test signal in small UAV model identification experiment for the first time. By using PRS, a small UAV's modes can be stimulated sufficiently. In this method, we also combine the advantages of time and frequency domain identification technologies together by increasing the order of target models in time domain identification and then deceasing model order by using frequency domain identification. The model validation results in time and frequency domain proved the fidelity of identified models and feasibility of our proposed small UAV model identification method.
{"title":"System identification of a small unmanned aerial vehicle based on time and frequency domain technologies","authors":"Yulin Nong, Zaikang Qi, D. Lin","doi":"10.1109/WCICA.2011.5970607","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970607","url":null,"abstract":"The usage of system identification has been increasing in small unmanned aerial vehicle (UAV) model development. Most of previous methods for small UAV model identification has limitations in deriving an accurate model with wide frequency spectrum, or the identification results rely on the selection of weight parameters. These motive us to seek an efficient method to obtain accurate small UAV models. The method proposed in this paper uses pseudo-random signal (PRS) as test signal in small UAV model identification experiment for the first time. By using PRS, a small UAV's modes can be stimulated sufficiently. In this method, we also combine the advantages of time and frequency domain identification technologies together by increasing the order of target models in time domain identification and then deceasing model order by using frequency domain identification. The model validation results in time and frequency domain proved the fidelity of identified models and feasibility of our proposed small UAV model identification method.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129728946","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970625
Yu Kang, B. Yin, Weike Shang, H. Xi
Markov process and semi-Markov process are widely used in many practical engineering problems. Based on the potential theory, the problems of sensitivity analysis of a class of countable Markov decision processes is given in this paper. Based on this, the corresponding problems are investigated for a class of semi-Markov decision processes. The existence of the optimality equations are proved for both countable Markov decision process and countable semi-Markov decision process respectively.
{"title":"Performance sensitivity analysis and optimization for a class of countable semi-Markov decision processes","authors":"Yu Kang, B. Yin, Weike Shang, H. Xi","doi":"10.1109/WCICA.2011.5970625","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970625","url":null,"abstract":"Markov process and semi-Markov process are widely used in many practical engineering problems. Based on the potential theory, the problems of sensitivity analysis of a class of countable Markov decision processes is given in this paper. Based on this, the corresponding problems are investigated for a class of semi-Markov decision processes. The existence of the optimality equations are proved for both countable Markov decision process and countable semi-Markov decision process respectively.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129747794","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970558
Sheng Chen, C. Chen, Han-Pang Huang, Chen-Chain Hwu
To prolong battery life cycle of the robot is one of major issues which can be improved by Battery series balancing. Cell balancing is generally classified as either active or passive. The active balancing method is applied by super-capacitor switching scheme. Since super capacitor's power density and life cycle performance are better than a high power battery, it can transfer energy between cells without redundant overheads. The complementary characteristics analysis between the super-capacitor and lithium battery is introduced, and the simulation of this power system reveals a good effect under pulse-load robot. The super-capacitor applied not only absorbed massive surging power to lighten burden of the lithium battery but also balanced cells through switching. A control board with super-capacitor is realized for practical installing on robot. The simulation and experimental results has shown this method can be realized in practical environment with multiple applications.
{"title":"Implementation of cell balancing with super-capacitor for robot power system","authors":"Sheng Chen, C. Chen, Han-Pang Huang, Chen-Chain Hwu","doi":"10.1109/WCICA.2011.5970558","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970558","url":null,"abstract":"To prolong battery life cycle of the robot is one of major issues which can be improved by Battery series balancing. Cell balancing is generally classified as either active or passive. The active balancing method is applied by super-capacitor switching scheme. Since super capacitor's power density and life cycle performance are better than a high power battery, it can transfer energy between cells without redundant overheads. The complementary characteristics analysis between the super-capacitor and lithium battery is introduced, and the simulation of this power system reveals a good effect under pulse-load robot. The super-capacitor applied not only absorbed massive surging power to lighten burden of the lithium battery but also balanced cells through switching. A control board with super-capacitor is realized for practical installing on robot. The simulation and experimental results has shown this method can be realized in practical environment with multiple applications.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854047","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970703
D. Tian, Z. Deng, Rongqiang Liu, Hongwei Guo
Analysis on dynamic response is one of the important parts of structure analysis for space deployable antenna. To study the dynamic response characteristics of truss structure for deployable truss antenna, according to the structure characteristics of truss structure, the finite element model is built by using ANSYS software. And the harmonic response analysis and transient dynamic analysis are carried out by full method and reduced method respectively, then many response curves of observation nodes are obtained. The results show that the amplitude becomes larger when the frequency of external load is close to or up to the natural frequency of structure, and when the structure hasn't other external damping the amplitude attenuation is relatively slow under impact load. So the damping can be improved by choosing the proper materials and designing the reasonable structure. The results can provide the important reference data to the vibration research of truss structure and theoretical basis of structural optimization design.
{"title":"Analysis on dynamic response of truss structure for deployable truss antenna","authors":"D. Tian, Z. Deng, Rongqiang Liu, Hongwei Guo","doi":"10.1109/WCICA.2011.5970703","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970703","url":null,"abstract":"Analysis on dynamic response is one of the important parts of structure analysis for space deployable antenna. To study the dynamic response characteristics of truss structure for deployable truss antenna, according to the structure characteristics of truss structure, the finite element model is built by using ANSYS software. And the harmonic response analysis and transient dynamic analysis are carried out by full method and reduced method respectively, then many response curves of observation nodes are obtained. The results show that the amplitude becomes larger when the frequency of external load is close to or up to the natural frequency of structure, and when the structure hasn't other external damping the amplitude attenuation is relatively slow under impact load. So the damping can be improved by choosing the proper materials and designing the reasonable structure. The results can provide the important reference data to the vibration research of truss structure and theoretical basis of structural optimization design.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124829347","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970680
Fuguang Ding, Yuanhui Wang, J. Tan
In order to solve the problem of dynamic positioning ships when they lose the GPS signals during their operations, and cause drifting away from their setting points due to the deviant operation of the dynamic positioning system, this paper had designed a nonlinear filter which can use the history data of the ship to make real time estimating of the ship's position. This enable the ship maintains its position near the operation point in a given period. When regain the GPS, it can return to normal operation quickly. In order to make the history data more accurately to the real time position, this paper compensated the history data by using its mean error to the setting point. At the end of this paper, there are the simulating curves of the designed nonlinear filter in the marine simulator system. Analyzing results show that there is an obvious improvement in estimating the real time position of the ship with the nonlinear filter relative to that without the nonlinear filter.
{"title":"Application of nonlinear filter on the position estimation of dynamic positioned ship","authors":"Fuguang Ding, Yuanhui Wang, J. Tan","doi":"10.1109/WCICA.2011.5970680","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970680","url":null,"abstract":"In order to solve the problem of dynamic positioning ships when they lose the GPS signals during their operations, and cause drifting away from their setting points due to the deviant operation of the dynamic positioning system, this paper had designed a nonlinear filter which can use the history data of the ship to make real time estimating of the ship's position. This enable the ship maintains its position near the operation point in a given period. When regain the GPS, it can return to normal operation quickly. In order to make the history data more accurately to the real time position, this paper compensated the history data by using its mean error to the setting point. At the end of this paper, there are the simulating curves of the designed nonlinear filter in the marine simulator system. Analyzing results show that there is an obvious improvement in estimating the real time position of the ship with the nonlinear filter relative to that without the nonlinear filter.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125531623","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970635
Tao Wang, Jun Wang, Hong Peng, Hao Wang
Spiking neural P systems are a new class of emerging and promising computing models, but so far their ability to deal with fuzzy knowledge representation and fuzzy reasoning is hardly ever studied. In this paper, we extend the works in [6] and present a fuzzy reasoning spiking neural P system (FRSN P system) model to express fuzzy knowledge in which rule neurons are divided into three sub-categories which just correspond to the types of fuzzy production rules in the knowledge base of a rule-based system. The new proposed model is more flexible and reasonable than the one we have presented before.
{"title":"Knowledge representation and reasoning based on FRSN P system","authors":"Tao Wang, Jun Wang, Hong Peng, Hao Wang","doi":"10.1109/WCICA.2011.5970635","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970635","url":null,"abstract":"Spiking neural P systems are a new class of emerging and promising computing models, but so far their ability to deal with fuzzy knowledge representation and fuzzy reasoning is hardly ever studied. In this paper, we extend the works in [6] and present a fuzzy reasoning spiking neural P system (FRSN P system) model to express fuzzy knowledge in which rule neurons are divided into three sub-categories which just correspond to the types of fuzzy production rules in the knowledge base of a rule-based system. The new proposed model is more flexible and reasonable than the one we have presented before.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057328","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970751
P. Cheng, Chin-Hsing Cheng, Yao-An Lee
The aim of this paper is to develop a study of Taguchi optimization method for a switching mode DC power supply with power factor corrector (PFC). Power factor and efficiency are the basic indicators for both of power quality and power saving. To attain these two factors in switching mode power supply design is the goal for power engineers. The most effects are the setting of initial parameters. Orthogonal arrays of Taguchi and the signal-to-noise (S/N) ratio are employed to find the optimal levels and to analyze the effect of the parameters for DC-DC converter with PFC. Confirmation tests with optimal levels are carried out in order to illustrate the effectiveness of Taguchi optimization method.
{"title":"Design of a DC power supply with power factor corrector by Taguchi method","authors":"P. Cheng, Chin-Hsing Cheng, Yao-An Lee","doi":"10.1109/WCICA.2011.5970751","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970751","url":null,"abstract":"The aim of this paper is to develop a study of Taguchi optimization method for a switching mode DC power supply with power factor corrector (PFC). Power factor and efficiency are the basic indicators for both of power quality and power saving. To attain these two factors in switching mode power supply design is the goal for power engineers. The most effects are the setting of initial parameters. Orthogonal arrays of Taguchi and the signal-to-noise (S/N) ratio are employed to find the optimal levels and to analyze the effect of the parameters for DC-DC converter with PFC. Confirmation tests with optimal levels are carried out in order to illustrate the effectiveness of Taguchi optimization method.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126939889","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 : 2011-06-21DOI: 10.1109/WCICA.2011.5970754
Liulin Cao, Jing Wang, P. Jiang, Q. Jin
A multiobjective intelligence optimal approach in polymerizing of PET with maximum yield and the best quality is proposed. The hybrid neural network based on B-spline and diagonal recursive neural network is used to model the PET process qualities, i.e. the Intrinsic Viscosity and Molecular Weight distribution. Then a hybrid NSGAII-PSO optimal algorithm with penalty functions is applied to solve the multiobjective optimal problem in order to get the best operation conditions. The simulation result indicates that the hybrid network model and model-based multiobjective optimal algorithm are effective.
{"title":"Multiobjective intelligence optimal operation of PET polymerization","authors":"Liulin Cao, Jing Wang, P. Jiang, Q. Jin","doi":"10.1109/WCICA.2011.5970754","DOIUrl":"https://doi.org/10.1109/WCICA.2011.5970754","url":null,"abstract":"A multiobjective intelligence optimal approach in polymerizing of PET with maximum yield and the best quality is proposed. The hybrid neural network based on B-spline and diagonal recursive neural network is used to model the PET process qualities, i.e. the Intrinsic Viscosity and Molecular Weight distribution. Then a hybrid NSGAII-PSO optimal algorithm with penalty functions is applied to solve the multiobjective optimal problem in order to get the best operation conditions. The simulation result indicates that the hybrid network model and model-based multiobjective optimal algorithm are effective.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127428467","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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