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

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Learning-based modeling and control of underactuated balance robotic systems 欠驱动平衡机器人系统的学习建模与控制
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256254
Kuo Chen, J. Yi, Tao Liu
{"title":"Learning-based modeling and control of underactuated balance robotic systems","authors":"Kuo Chen, J. Yi, Tao Liu","doi":"10.1109/COASE.2017.8256254","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256254","url":null,"abstract":"Underactuated balance robots represent a broad class of mechanical systems, ranging from Furuta pendulum, autonomous motorcycles, and robotic bipedal walkers, etc. The control tasks of these systems include trajectory tracking and balancing requirements. We present a data-driven modeling and control framework of the underactuated balance robots. A machine-learning method is used to capture the dynamics and the balance equilibrium manifold that represents balancing task target. We combine the learning-based models with the structural properties of the external/internal convertible form of these underactuated systems. Applications of the proposed learning-based models and control design are applied to the Furuta pendulum by simulation and experiments.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"28 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":"122360854","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: 5
A decomposition method with discrete abstraction for simultaneous traffic signal control and route selection problem with first-order hybrid Petri Nets 一阶混合Petri网交通信号控制与路径选择问题的离散抽象分解方法
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256128
Ryotaro Yamazaki, T. Nishi, Soh Sakurai
{"title":"A decomposition method with discrete abstraction for simultaneous traffic signal control and route selection problem with first-order hybrid Petri Nets","authors":"Ryotaro Yamazaki, T. Nishi, Soh Sakurai","doi":"10.1109/COASE.2017.8256128","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256128","url":null,"abstract":"We propose a decomposition method for simultaneous traffic signal control and route selection problem with first-order hybrid Petri Nets. The traffic signal control problem is formulated as an optimal firing sequence problem for first order hybrid Petri Nets where a passage of the vehicles is represented by the real number of vehicles and discrete states represent the traffic signal states. A simultaneous traffic signal control and route selection model is developed with the selection of the route for a specific vehicle with traffic flows with the same traffic signals. A discrete abstraction model is introduced to reduce the computational expense for the Lagrangian relaxation technique. Computational results show the superiority of the discrete abstraction model over existing methods.","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":"121056591","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 dispatching for re-entrant production lines — A deep learning approach 重新进入生产线的动态调度——一种深度学习方法
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256238
Fang-Yi Zhou, Cheng-Hung Wu, Cheng-Juei Yu
{"title":"Dynamic dispatching for re-entrant production lines — A deep learning approach","authors":"Fang-Yi Zhou, Cheng-Hung Wu, Cheng-Juei Yu","doi":"10.1109/COASE.2017.8256238","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256238","url":null,"abstract":"This study presents a dynamic dispatching method for re-entrant production systems by combing dynamic programming (DP) with deep learning. First, we use DP to derive optimal value functions and optimal dispatching policies in a small number of numerical cases. The optimal value functions are then applied to train a deep neural network (DNN). The DNN builds an efficient estimation engine for optimal value functions. Since optimal dispatching decisions can be considered a compressed feature of the optimal value function, the value function estimated by DNN can be quickly mapped to dynamic dispatching policies. The accuracy of DNN dispatching policies is validated by the k-fold cross-validation (k-cv) test in a wide variety of re-entrant systems. Our preliminary investigation shows the potential of DNN in instantaneously generating accurate dynamic dispatching policies.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"7 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":"132683959","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
Secure state estimation for DC microgrids control 直流微电网控制的安全状态估计
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256334
Gabriella Fiore, A. Iovine, E. D. Santis, M. D. Benedetto
{"title":"Secure state estimation for DC microgrids control","authors":"Gabriella Fiore, A. Iovine, E. D. Santis, M. D. Benedetto","doi":"10.1109/COASE.2017.8256334","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256334","url":null,"abstract":"DC MicroGrids are presently considered as the best solution for renewable energy diffusion since they represent the most effective way for interconnecting renewables and storages with modern loads such as electric vehicles. Hierarchical control composed by different levels is usually adopted and communication among the controllers is used to ensure grid stability. The exchanged information is assumed to be shared by means of a (wireless) communication network, which can be compromised by a malicious attacker. In this paper, the attack is not represented by a specific model, but is assumed to be unbounded and influencing only a small subset of sensors (which is fixed over time). For obtaining a secure exchange of data, a secure state estimation is performed.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"5 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":"130452073","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: 11
A design approach for event-driven optimization in complex air conditioning systems 复杂空调系统事件驱动优化设计方法
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256219
Junqi Wang, S. Lou, Pei Zhou, G. Huang
{"title":"A design approach for event-driven optimization in complex air conditioning systems","authors":"Junqi Wang, S. Lou, Pei Zhou, G. Huang","doi":"10.1109/COASE.2017.8256219","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256219","url":null,"abstract":"Air conditioning (AC) systems take up the major proportion of total building energy consumption. While online optimal control is regarded as an efficient tool to improve the operating efficiency of AC systems, traditional online optimal control schemes utilize a so-called time-driven optimization (TDO) scheme. Although it works well for simple AC systems, several limitations are encountered when systems become more and more complex. TDO is basically a periodic scheme, which may lead to inefficient actions (e.g. delayed or unnecessary actions) in response to aperiodic or stochastic operational changes. TDO is also not efficient in balancing the optimization performance and computing load. Recently, an event-driven optimization (EDO) scheme has been proposed to solve these limitations. However, as the EDO in the building sector is quite a new topic, the corresponding EDO design methodology remains blank. Thus, this paper presents a feasible design methodology for EDO. The effectiveness of the design methodology is validated by the case study of a commercial AC system. Results show that the EDO (with optimized events) achieves better computational efficiency without sacrificing energy performance compared with the conventional TDO.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"16 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":"130827206","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
Research on virtual decomposition control of free-flying space robot with an object under nonholonomic constraints 非完整约束下带目标自由飞行空间机器人虚拟分解控制研究
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256306
Bo Xia, Gang Li, Shuang Yang, Xueqian Wang, Bin Liang
{"title":"Research on virtual decomposition control of free-flying space robot with an object under nonholonomic constraints","authors":"Bo Xia, Gang Li, Shuang Yang, Xueqian Wang, Bin Liang","doi":"10.1109/COASE.2017.8256306","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256306","url":null,"abstract":"This paper aims at solving the stable control issue of the free-flying space robot with an object when the orientation of space base is controlled but the position is out of control using the virtual decomposition control (VDC). According to the VDC principle, the entire system is conceptually divided into such subsystems: the object, the space base, the manipulator, the reaction wheel and the massless virtual manipulator. The last term is designed to solve the nonholonomic constraints of the whole system. Based on the mathematical model of the entire system, kinematics and dynamics of every subsystem from the object to the space base are analyzed. A virtual decomposition controller of each subsystem is simultaneously designed, and this controller and the corresponding subsystem structure a control subsystem of the whole robot. All subsystem controllers constitute the controller of the entire robot system, and the combination of this controller and the robot system is the virtual decomposition control system of this robot. Then it takes two steps to achieve its stability analysis — the virtual stability of each control subsystem and the stability analysis of the whole control system. Finally, the VDC system of the free-flying space robot with an object is simulated. Simulation results show that the VDC system is stable and effective.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"53 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":"132365182","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
An L1-minimization based algorithm to measure the redundancy of state estimators in large sensor systems 基于l1最小化的大型传感器系统状态估计器冗余度量算法
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256141
V. Vijayaraghavan, Kiavash Kianfar, Yu Ding, H. Parsaei
{"title":"An L1-minimization based algorithm to measure the redundancy of state estimators in large sensor systems","authors":"V. Vijayaraghavan, Kiavash Kianfar, Yu Ding, H. Parsaei","doi":"10.1109/COASE.2017.8256141","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256141","url":null,"abstract":"Linear models have been successfully used to establish the connections between sensor measurements and system states in sensor networks. Finding the degree of redundancy for structured linear systems is proven to be NP-hard. Previously bound-and-decompose, 0–1 mixed integer programming and hybrid algorithms embedding 0–1 mixed integer feasibility checking within a bound-and-decompose framework have all been proposed and compared in the literature. In this paper, we exploit the computational efficiency of linear programs to present a novel heuristic algorithm which solves a series of l1-norm minimization problems in a specific framework to find extremely good solutions to this problem in remarkably small runtime.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"57 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":"132535574","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
An improved global replacement strategy for MOEA/D on many-objective kanpsack problems 针对多目标背包问题的改进的MOEA/D全局替换策略
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256172
Xingxing Hao, Jing Liu, Zhenkun Wang
{"title":"An improved global replacement strategy for MOEA/D on many-objective kanpsack problems","authors":"Xingxing Hao, Jing Liu, Zhenkun Wang","doi":"10.1109/COASE.2017.8256172","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256172","url":null,"abstract":"The multi-objective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multi-objective optimization problem into a number of single scalar optimization problems and solves them simultaneously. The replacement strategy employed in MOEA/D has significant effects in terms of balancing convergence and diversity. In this paper, the effectiveness of MOEA/D with global replacement (GR) scheme is first investigated on many-objective knapsack problems. Then, we propose an improved version of GR, which is denoted as IGR, for the situation of adopting the utopian point as the reference point in MOEA/D. The experimental results on knapsack problems with 2, 4, 6, and 8 objectives illustrate that the GR scheme outperforms the original MOEA/D adopting the ideal point as the reference point and the IGR scheme outperforms the original MOEA/D adopting the utopian point as the reference point.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"30 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":"132139782","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
Modeling and simulation of cyberattacks for resilient cyber-physical systems 弹性网络物理系统的网络攻击建模与仿真
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256231
Nafiul Rashid, Jiang Wan, G. Quirós, A. Canedo, M. A. Faruque
{"title":"Modeling and simulation of cyberattacks for resilient cyber-physical systems","authors":"Nafiul Rashid, Jiang Wan, G. Quirós, A. Canedo, M. A. Faruque","doi":"10.1109/COASE.2017.8256231","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256231","url":null,"abstract":"Securing cyber-physical systems (CPS) is an active area of research. For example, manufacturing and military CPS have been traditionally designed without an emphasis on cybersecurity. This paper presents a model-based secure-by-design approach for modeling and simulating the cybersecurity aspects of CPS. We demonstrate our systematic approach by modeling several classes of cyberattacks that may affect the normal operations of CPS, and evaluate the impact of these attacks on the system through the use of simulation. We follow a functional modeling approach that may reduce the engineering effort and increase the quality of the developed system, while also increasing the resilience of the system when exposed to cyberattacks.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"6 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":"134401905","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
Exploring functional variant using a deep learning framework 使用深度学习框架探索功能变体
2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256086
Tianyi Sun, Zhuo Liu, Xingming Zhao, R. Jiang
{"title":"Exploring functional variant using a deep learning framework","authors":"Tianyi Sun, Zhuo Liu, Xingming Zhao, R. Jiang","doi":"10.1109/COASE.2017.8256086","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256086","url":null,"abstract":"Deep learning methods have been successfully used in a variety of different contexts and achieved state of the art performance in many different tasks. In this paper, we explore the performance of deep learning methods in the task of predicting functional genetic variant. First, we test the performance of a few types of neural network models in making prediction using only DNA sequence. The result shows that convolutional neural network (CNN) has the best performance. Second, we explore the possibility of forming a hybrid network to make prediction with both DNA sequence and evolutionary nucleotide conservation information as input. We observe a better performance than using only conservation information by applying a dropout mask for the transformed feature of DNA sequence. We further discuss this technique as a possible common solution for combining features of different powers.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"35 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":"130287762","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
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