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2010 IEEE International Conference on Automation and Logistics最新文献

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Morphogenetic models of virtual plant: A survey 虚拟植物形态发生模式综述
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585377
Yuanyuan Fu, Dong Ren, Guangzhu Xu, Jihua Wang
{"title":"Morphogenetic models of virtual plant: A survey","authors":"Yuanyuan Fu, Dong Ren, Guangzhu Xu, Jihua Wang","doi":"10.1109/ICAL.2010.5585377","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585377","url":null,"abstract":"Plant growth modeling is one of the key issues in virtual plant research. In this paper, we mainly focus on the morphogenetic models of virtual plant. The procedures for simulation and visualization of plant morphological structure during the period of plant growth are summarized first. The techniques for data acquisition of plant morphological structure are introduced since it is the initial work of modeling. We divide the existing morphogenetic models into three categories: static models, non-interactive dynamic models and morphology-environment interactive models. An extensive survey of morphogenetic models is presented. Advantages and disadvantages of these models are analyzed. The remaining problems in the current morphogenetic model research are also pointed out.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115140801","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}
引用次数: 2
Global robust output regulation for nonlinear systems with iISS inverse dynamics 具有iISS逆动力学的非线性系统的全局鲁棒输出调节
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585283
Dabo Xu, Jie Huang
{"title":"Global robust output regulation for nonlinear systems with iISS inverse dynamics","authors":"Dabo Xu, Jie Huang","doi":"10.1109/ICAL.2010.5585283","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585283","url":null,"abstract":"This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control. As iISS condition is strictly weaker than ISS condition, the result of this paper applies to a larger class of nonlinear systems.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"362 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134063960","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}
引用次数: 1
Dynamic modeling and analysis of a front-wheel drive bicycle robot moving on a slope 前轮驱动自行车机器人斜坡运动动力学建模与分析
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585382
Yonghua Huang, Q. Liao, S. Wei, Lei Guo
{"title":"Dynamic modeling and analysis of a front-wheel drive bicycle robot moving on a slope","authors":"Yonghua Huang, Q. Liao, S. Wei, Lei Guo","doi":"10.1109/ICAL.2010.5585382","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585382","url":null,"abstract":"Bicycle robots are such a kind of mobile robots subjected to nonholonomic constraints and under-actuated degree of freedom (DOF) simultaneously, and it is a common scenario for these robots to climb a slope. The research in this paper is focused on dynamic modeling and dynamic characteristics analysis of a front-wheel drive bicycle robot under the state of slope-climbing. The concepts of critical angle and critical driving torque were proposed to estimate the slope-climbing capability. Kinematics of the robot was derived under the assumption of rolling without slipping of the two road wheels on a slope plane. Recursion dynamic model of the bicycle robot was constructed by using Kane equation and energy and work analysis is introduced to validate the model. Numerical simulations of the running behavior on different gradients were implemented in MATLAB to analyze the dynamical characteristics of the bicycle robot. Simulations results show the model is basically in agreement with the real working condition of the bicycle robot.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132964127","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}
引用次数: 7
Robotic leg control based on Human motion analysis and neural control methods 基于人体运动分析和神经控制方法的机器人腿控制
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585292
D. Popescu, C. Ionete, L. Popescu, M. Poboroniuc
{"title":"Robotic leg control based on Human motion analysis and neural control methods","authors":"D. Popescu, C. Ionete, L. Popescu, M. Poboroniuc","doi":"10.1109/ICAL.2010.5585292","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585292","url":null,"abstract":"This work presents some results obtained from image processing and motion analysis of the human body. The issues raised in motion analysis are of interest for obtaining motion-specific parameters for movements of the human body. The resulting data (spatial coordinates, velocities and accelerations) are used for further processing in humanoid robotics and assistive and recuperative technologies for people with disabilities. The results are implemented on a robotic leg, which was developed in our laboratories. A model based neural control strategy is implemented, too. The performances of the implemented control strategies for trajectory tracking are analyzed by computer simulation.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134413206","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}
引用次数: 0
Rule driven multi objective dynamic scheduling by data envelopment analysis and reinforcement learning 基于数据包络分析和强化学习的规则驱动多目标动态调度
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585316
Xili Chen, X. Hao, H. Lin, Tomohiro Murata
{"title":"Rule driven multi objective dynamic scheduling by data envelopment analysis and reinforcement learning","authors":"Xili Chen, X. Hao, H. Lin, Tomohiro Murata","doi":"10.1109/ICAL.2010.5585316","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585316","url":null,"abstract":"This paper presents a rule driven method of developing composite dispatching rule for multi objective dynamic scheduling. Data envelopment analysis is adopted to select elementary dispatching rules, where each rule is justified as efficient for optimizing specific operational objectives of interest. The selected rules are subsequently combined into a single composite rule using the weighted aggregation manner. An intelligent agent is trained using reinforcement learning to acquire the scheduling knowledge of assigning the appropriate weighting values for building the composite rule to cope with the WIP fluctuation of a machine. Implementation of the proposed method in a two objective dynamic job shop scheduling problem is demonstrated and the results are satisfactory.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128189304","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}
引用次数: 23
Application for manufacturing systems served by collaborative robots monitoring 协同机器人监控在制造系统中的应用
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585397
E. Minca, Otilia Elena Dragomir, Florin Dragomir, V. Stefan
{"title":"Application for manufacturing systems served by collaborative robots monitoring","authors":"E. Minca, Otilia Elena Dragomir, Florin Dragomir, V. Stefan","doi":"10.1109/ICAL.2010.5585397","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585397","url":null,"abstract":"The article proposes an improvement tool, Petri Nets type, dedicated to hierarchical recurrent systems modeling. This tool can be implemented in manufacturing systems served by collaborative robots if the recurrent modeling function is structured on hierarchical levels. Each level is similar with previous ones, from superior hierarchical level, but has allocated different time intervals. In low hierarchical levels, those intervals are bigger, decreasing detection accuracy. Hierarchical levels are interfaced by LIFO module and OOPN (Object Oriented Petri Nets). This new approach base on temporal hierarchical structure, refined monitoring function modeling. On each horizontal level is proposed an elementary detection model, but transitions are associated with external events synchronized with fault occurrence, expected specific temporal windows. Not all the external events may occur in the assigned intervals so the model is designed to evolve to the next level, and to preserve / transferring its set of detected external events. The model evolution is made on every horizontal level, until the node where detection is finished, and moves to the next level.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133083856","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}
引用次数: 3
Design of mixed H∞ and optimal controller for three-phase PWM rectifiers 三相PWM整流器混合H∞及最优控制器设计
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585321
Hui Zhang, Guojun Tan, Minglian Zhang, Rui-Wen Yu
{"title":"Design of mixed H∞ and optimal controller for three-phase PWM rectifiers","authors":"Hui Zhang, Guojun Tan, Minglian Zhang, Rui-Wen Yu","doi":"10.1109/ICAL.2010.5585321","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585321","url":null,"abstract":"The mathematic model of three-phase pulse-width modulated (PWM) voltage rectifiers is nonlinear, strong coupling. And the mathematic model error, time-varying uncertainties and external disturbance will influence the performance of the system. This paper presents a linear quadratic regulator (LQR) for the inner current loop control without decoupling, and a robust H∞ control method for the outer voltage loop. For the inner current loop, a Riccati equation is solved and a constant value adjoint matrix is calculated to derive the designed controller. For the outer voltage loop, the state equations are established and the suitable weighting functions are selected. And then, the Riccati inequality is solved to derive the H∞ controller. The simulation results show that the designed controller can achieve unit power factor control, and has faster response and better external disturbance rejection capabilities compared with the conventional PI controller.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130482669","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}
引用次数: 2
Pre-processing for missing data: A hybrid approach to air pollution prediction in Macau 缺失数据的预处理:澳门空气污染预测的混合方法
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585320
K. S. Lei, Feng Wan
{"title":"Pre-processing for missing data: A hybrid approach to air pollution prediction in Macau","authors":"K. S. Lei, Feng Wan","doi":"10.1109/ICAL.2010.5585320","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585320","url":null,"abstract":"Recently, as an important issue in both urban and industrial areas due to the rapid development in economics, more and more conceptions in air pollution have been studied, and consequently forecasting the air pollution index (API) becomes increasingly important. In the past decades, researchers proposed various methods to predict the API based on previous observed data. On the other hand, however, missing of the observed data always occurs in practice and it may deteriorate the prediction performance. How to handle the missing data is often a challenge in API forecasting. This paper presents a method for pre-processing the missing observed data by adopting the multiple imputation technique for Macau API prediction using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The forecasting performance after missing data pre-processing is compared with the conventional case without pre-processing and the results in terms of the root mean square error (RMSE) shows effectiveness in API forecasting against nine-years measured data in the Macau City.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"15 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123140454","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}
引用次数: 16
An active learning method under very limited initial labeled data 在非常有限的初始标记数据下的主动学习方法
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585339
Yue Zhao, Q. Ji
{"title":"An active learning method under very limited initial labeled data","authors":"Yue Zhao, Q. Ji","doi":"10.1109/ICAL.2010.5585339","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585339","url":null,"abstract":"Active learning methods seek to reduce the number of labeled instances needed to train an effective classifier. Most current methods assume the availability of some reasonable amount of initially labeled training data so that the learners can be trained with sufficient quality. However, for many applications, the amount of initial training data is often limited, this will affect the quality of the initial learners, which, in turn, affect the performance of the active learning methods. In this paper, we introduce a new non-parametric active learning strategy that can perform well even under very limited initial training data. Our method selects the query instance that simultaneously maximizes its label uncertainty and the classification accuracy on the unlabelled test data. Our method hence avoids selecting outliers and does not require good initial learner. The experimental results with benchmark datasets show that our method outperforms state of the art methods especially when the amount of the initially labeled data is small or when the quality of the initially labeled data is poor.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123144889","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}
引用次数: 0
A new descriptor for 3D trajectory recognition via modified CDTW 基于改进CDTW的三维轨迹识别描述符
2010 IEEE International Conference on Automation and Logistics Pub Date : 2010-09-23 DOI: 10.1109/ICAL.2010.5585379
Jianyu Yang, Y.F. Li, Keyi Wang
{"title":"A new descriptor for 3D trajectory recognition via modified CDTW","authors":"Jianyu Yang, Y.F. Li, Keyi Wang","doi":"10.1109/ICAL.2010.5585379","DOIUrl":"https://doi.org/10.1109/ICAL.2010.5585379","url":null,"abstract":"Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data alignment method in the matching algorithm for motion recognition. Experimental results demonstrate the effectiveness of the method in the motion recognition.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123663697","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}
引用次数: 15
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