2017 13th IEEE Conference on Automation Science and Engineering (CASE)最新文献_第2页

Improved genetic algorithm based delivery time control for Fourth Party Logistics 基于改进遗传算法的第四方物流配送时间控制

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256134

Fuqiang Lu, Hualing Bi, Lin Huang, Wang Bo

引用次数: 3

Warehouse workload control for production logistic 控制生产物流的仓库工作量

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256109

Bingzhu Chen, T. Qu, M. Thürer, G. Huang, Congdong Li, Subo Xu

引用次数: 3

Modeling and analysis of primary care to specialty care referral process: A case study at the university of florida health Jacksonville 初级保健到专科护理转诊过程的建模与分析:以杰克逊维尔佛罗里达大学健康中心为例

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256204

Xiang Zhong, A. Prakash, Leanne Petty, Rita James

引用次数: 0

A model-based learning controller with predictor augmentation for non-stationary conditions and time delay in water shooting 一种针对非平稳条件和时间延迟的基于模型的预测增强学习控制器

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256253

C. Goh, G. Seet, K. Shimada

{"title":"A model-based learning controller with predictor augmentation for non-stationary conditions and time delay in water shooting","authors":"C. Goh, G. Seet, K. Shimada","doi":"10.1109/COASE.2017.8256253","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256253","url":null,"abstract":"As evident in the Fukushima incident, shooting water to hit a target at a distance under a windy condition from a moving vehicle is challenging. The challenges include (i) the non-stationary condition caused by the wind and (ii) the time delay due to the distance between the water source and target. This paper proposes a model-based learning controller to address these issues. The proposed controller can adapt the water's shooting angle to different wind conditions or vehicle motions by measuring only the shooting error and angle. First, a forward model uses the current shooting error and its corresponding past shooting angle to predict the future shooting error, thereby addressing the time delay issue like the Smith Predictor. Next, the current shooting angle and its predicted future error are given to an inverse model as the augmented predictor to determine the required shooting angle necessary to achieve zero error. Both the forward and inverse models are learned using the Receptive Field-Weighted regression (RFWR) algorithm. Interpolation, cross correlation and active probing based techniques are developed to estimate the time delay adjustment needed to synchronize the shooting angle and error feedback for model learning. Experimental results obtained from computer simulations indicate that the proposed controller can adapt to non-stationary conditions and address the time-delay issue. The performance of the controller outperforms human operators and a simple PID controller in water-shooting tasks under changing wind and vehicle motion.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122929056","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

4PL collaborative routing customization problem on the dynamic networks 动态网络上的第四方物流协同路由定制问题

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256289

Yan Cui, Min Huang, Qin Dai

引用次数: 3

A study on attribute selection for job shop scheduling problem 作业车间调度问题的属性选择研究

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256239

Zhenjiang Wang, Zhengcai Cao, Ran Huang, Jiaqi Zhang

{"title":"A study on attribute selection for job shop scheduling problem","authors":"Zhenjiang Wang, Zhengcai Cao, Ran Huang, Jiaqi Zhang","doi":"10.1109/COASE.2017.8256239","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256239","url":null,"abstract":"Attribute selection is an effective approach to improve the inference efficiency of data-based scheduling strategies system that many researchers have studied based on computational intelligence methods. Comparing to computational intelligence methods, concept lattice has the advantages in attribute selection protentially. In this paper, attribute selection for production line in job shops based on concept lattice is studied and applied in the neural network (NN) scheduling system. Firstly, owing to the many-valued characteristic of production line attributes, the method of many-valued formal context converts to single-valued formal context is given. Then, the attribute feature is discussed and a concept lattice reduction method for production line attribute selection is proposed to obtain the key production line attributes. Finally, the key attributes are used as the input of neural network scheduling system which can generate optimal scheduling strategies for job shop scheduling problem. The experimental results show that the proposed scheduling system is effective in terms of various performance criteria.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114436863","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 t-level driven search for estimation of distribution algorithm in solving task graph allocation to multiprocessors 求解多处理机任务图分配的t级驱动搜索估计分布算法

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256173

Chu-ge Wu, Ling Wang, Jing-jing Wang

引用次数: 1

Multi-scale event-based optimization for matching uncertain wind supply with EV charging demand 基于多尺度事件的不确定风供给与电动汽车充电需求匹配优化

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256209

Teng Long, Jing-Xian Tang, Q. Jia

{"title":"Multi-scale event-based optimization for matching uncertain wind supply with EV charging demand","authors":"Teng Long, Jing-Xian Tang, Q. Jia","doi":"10.1109/COASE.2017.8256209","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256209","url":null,"abstract":"Due to the global environmental pollution and fossil fuel shortage, there is an increasing demand for renewable energy. In this circumstance, the wind power and the electric vehicle (EV) are an important part of the supply side and the demand side, respectively. Because of the multi-scale system dynamics, to match the random wind supply and EV charging demand to reduce the charging cost is challenging and of great practical interest. This is considered as an important problem in this paper. In order to capture the structure of this problem and to use the area information of EVs, we formulate this charging problem as a multi-scale event-based optimization (EBO) model. At the upper level, we define a series of macro events to determine the number of EVs to be charged for each aggregator. At the lower level, we finally decide every EV's charging plan based on a series of micro events and the upper level action. So as to solve this large-scale problem, we develop a multi-scale event-based policy iteration method in this paper. The numerical testing results show the effectiveness of this multi-scale EBO approach on reducing the total charging cost of all EVs.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940295","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: 14

Position-loop based cross-coupled and synchronization control of a parallel kinematics machine 基于位置环的并联机构交叉耦合与同步控制

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256089

Xiang Zhang, Y. Lou, Ran Shi

{"title":"Position-loop based cross-coupled and synchronization control of a parallel kinematics machine","authors":"Xiang Zhang, Y. Lou, Ran Shi","doi":"10.1109/COASE.2017.8256089","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256089","url":null,"abstract":"Compared with the tracking error, the contouring error has a greater impact on product quality. This paper is concerned with the contouring control of the parallel robots, whose kinematics is nonlinear, so it's hard to utilize the conventional cross-coupled control method directly. Thereby, the position loop-based cross-coupled control is applied. In this method, the contouring error is estimated as the minimum distance from the actual position to the approximated circle. The position-reference input are modified to implement the contouring error compensation. In addition, to strengthen the coordination of the two actual axes further, we proposed to add the synchronization controller to the position loop-based cross-coupled control structure. For the planar motion, the synchronization error of workspace is defined as the difference value between the tracking error of x axis and the tracking error of y axis. It is compensated in the joint space of the driven axes instead of the workspace to improve the motion accuracy more directly. A number of experiments are carried out for circular contour at different speed. The results show the proposed method really leads to improved contouring accuracy.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123640674","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

Energy trading between microgrids towards individual cost and social welfare optimization 面向个体成本和社会福利优化的微电网间能源交易

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256271

Z. Qiao, Bo Yang, Qimin Xu, Fei Xiong, Cailian Chen, X. Guan, Bei Chen

{"title":"Energy trading between microgrids towards individual cost and social welfare optimization","authors":"Z. Qiao, Bo Yang, Qimin Xu, Fei Xiong, Cailian Chen, X. Guan, Bei Chen","doi":"10.1109/COASE.2017.8256271","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256271","url":null,"abstract":"High penetration of renewable energy source makes microgrid (MGs) be environment friendly. However, the stochastic input from renewable energy resource brings difficulty in balancing the energy supply and demand. Purchasing extra energy from macrogrid to deal with energy shortage will increase MG energy cost. To mitigate intermittent nature of renewable energy, energy trading and energy storage which can exploit diversity of renewable energy generation across space and time are efficient and cost-effective methods. But a storage with large capacity will incur additional cost. In addition, due to MG participating energy trading as prosumer, it calls for an efficient trading mechanism. Therefore, this paper focuses on the problem of MG energy management and trading. Energy trading problem is formulated as a stochastic optimization one with both individual profit and social welfare maximization. Firstly a Lyapunov optimization based algorithm is developed to solve the stochastic problem. Secondly the double-auction based mechanism is provided to attract MGs' truthful bidding for buying and selling energy. Through theoretical analysis, we demonstrate that individual MG can achieve a time average energy cost close to offline optimum with tradeoff between storage capacity and energy trading cost. Meanwhile the social welfare is also asymptotically maximized under double auction. Simulation results based on real world data show the effectiveness of our algorithm.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121106508","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