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2016 International Conference on Sustainable Energy, Environment and Information engineering (SEEIE 2016)

作者： Xiao-mei HU He-wei QU Jun-jun HU Yuan TIAN Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and AutomationShanghai University Electrical Engineering and Computer Science College of EngineeringUniversity of Michigan

The dust evolution simulation provides an important way to analyze the impact of dust on the environment. Dynamic data driven application system framework is applied and dust evolution simulation model based on DDDAS framework is proposed. Compared with the simulation model of dust evolution without DDDAS, the functions of the inputs of real-time data and modification of simulation parameters ensure the improvement of the accuracy of dust evolution simulation. The experimental results show that the dust evolution simulation with DDDAS framework is more precise than the simulation without DDDAS, which proves the effectiveness of the dust evolution simulation system based on dynamic data driven.

关键词： Dynamic data driven Dust evolution simulation Kinetic monte carlo Dust accumulation

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Nonsmooth Dynamic Filtering for Mechanical Servo-systems

Nonsmooth Dynamic Filtering for Mechanical Servo-systems

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IEEE International Conference on Control and automation

作者： Yonghong Tan Ruili Dong Yanyan Li Xiang Chen Hong He Department of Electrical Engineering Shanghai Normal University Institute of Robotics and Automatic Information System Tianjin Key Laboratory of Intelligent Robotics Nankai University Department of Electrical and Computer Engineering University of Windsor

ISBN: (纸本)9781509017393

In this paper, a nonsmooth dynamic filtering approach is proposed for stochastic noise filtering of mechanical servo-systems. In this approach, a stochastic nonsmooth state-space model with sandwich structure is developed to describe the nonsmooth dynamic feature of the system in random noisy case. Then, an approach for observability test of the nonsmooth system with sandwich architecture is proposed. Afterwards, a nonsmooth dynamic filtering method motivated by the structure of Kalman filter is proposed for noise suppression. The proposed nonsmooth Kalman filtering method is applied to random noise filtering of a servo-system with dead-zone feature.

关键词： CONTRAST FILTERS Servo systems noise filtering Noise suppression Kalman filters sandwich structures Models, Space Sandwiches

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Fully distributed flocking with a moving leader for Lagrange networks with parametric uncertainties

Fully distributed flocking with a moving leader for Lagrange...

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作者： Ghapani, Sheida Mei, Jie Ren, Wei Song, Yongduan Department of Electrical and Computer Engineering University of California Riverside United States School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Key Laboratory of Dependable Service Computing Cyber Physical Society Ministry of Education Chongqing University China School of Automation Chongqing University China

This paper addresses the leader-follower flocking problem with a moving leader for networked Lagrange systems with parametric uncertainties under a proximity graph. Here a group of followers move cohesively with the moving leader to maintain connectivity and avoid collisions for all time and also eventually achieve velocity matching. In the proximity graph, the neighbor relationship is defined according to the relative distance between each pair of agents. Each follower is able to obtain information from only the neighbors in its proximity, involving only local interaction. We consider two cases: (i) the leader moves with a constant velocity, and (ii) the leader moves with a varying velocity. In the first case, a distributed continuous adaptive control algorithm accounting for unknown parameters is proposed in combination with a distributed continuous estimator for each follower. In the second case, a distributed discontinuous adaptive control algorithm and estimator are proposed. Then the algorithm is extended to be fully distributed with the introduction of gain adaptation laws. In all proposed algorithms, only one-hop neighbors' information (e.g., the relative position and velocity measurements between the neighbors and the absolute position and velocity measurements) is required, and flocking is achieved as long as the connectivity and collision avoidance are ensured at the initial time and the control gains are designed properly. Numerical simulations are presented to illustrate the theoretical results. © 2016 Elsevier Ltd. All rights reserved.

关键词： Multi agent systems

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A Novel Extended Potential Field Controller for Use on Aerial Robots

A Novel Extended Potential Field Controller for Use on Aeria...

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IEEE International Conference on automation Science and engineering

作者： Alexander C. Woods Hung M. La Quang P. Ha Advanced Robotics and Automation Laboratory Department of Computer Science and Engineering University of Nevada Reno 89557 USA School of Electrical Mechanical and Mechatronic Systems University of Technology Sydney Australia

ISBN: (纸本)9781509024100

Unmanned Aerial Vehicles (UAV), commonly known as drones, have many potential uses in real world applications. Drones require advanced planning and navigation algorithms to enable them to safely move through and interact with the world around them. This paper presents an extended potential field controller (ePFC) which enables an aerial robot, or drone, to safely track a dynamic target location while simultaneously avoiding any obstacles in its path. The ePFC outperforms a traditional potential field controller (PFC) with smoother tracking paths and shorter settling times. The proposed ePFC's stability is evaluated by Lyapunov approach, and its performance is simulated in a Matlab environment. Finally, the controller is implemented on an experimental platform in a laboratory environment which demonstrates the effectiveness of the controller.

关键词： Drones Navigation Robot sensing systems Target tracking Stability analysis

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Correction to: Predicting drug response of tumors from integrated genomic profiles by deep neural networks

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BMC medical genomics 2019年第1期12卷 119页

作者： Yu-Chiao Chiu Hung-I Harry Chen Tinghe Zhang Songyao Zhang Aparna Gorthi Li-Ju Wang Yufei Huang Yidong Chen Greehey Children's Cancer Research Institute University of Texas Health Science Center at San Antonio San Antonio TX 78229 USA. Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio TX 78249 USA. Laboratory of Information Fusion Technology of Ministry of Education School of Automation Northwestern Polytechnical University Xi'an 710072 Shaanxi China. Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio TX 78249 USA. Yufei.Huang@utsa.edu. Department of Epidemiology and Biostatistics University of Texas Health Science Center at San Antonio San Antonio TX 78229 USA. Yufei.Huang@utsa.edu. Greehey Children's Cancer Research Institute University of Texas Health Science Center at San Antonio San Antonio TX 78229 USA. ChenY8@uthscsa.edu. Department of Epidemiology and Biostatistics University of Texas Health Science Center at San Antonio San Antonio TX 78229 USA. ChenY8@uthscsa.edu.

Following publication of the original article [1], the authors provided an updated funding statement to the article. The updated statement is as follows.

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Fostering cooperation of selfish agents through public goods in relation to the loners

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Physical Review E 2016年第3期93卷 032320-032320页

作者： Jianlei Zhang Zengqiang Chen Zhongxin Liu Department of Automation College of Computer and Control Engineering Nankai University Tianjin 300071 People's Republic of China and Tianjin Key Laboratory of Intelligent Robotics Computer and Control Engineering Nankai University Tianjin 300071 People's Republic of China

Altruistic behaviors in multiplayer groups have obtained great attention in the context of the public goods game, which poses a riddle from the evolutionary viewpoint. Here we focus on a particular type of public goods game model in which the benefits of cooperation are either discounted or synergistically enhanced at the appearance of multiple cooperators in a group. Moreover, we focus on the three-strategies profile by adding the role of loners, besides the often-used cooperation and defection. Using the replicator dynamic equations, we investigate a range of dynamical portraits that characterizes the properties of the steady state. Analysis results indicate that loners and cooperators both have chances to be the stable equilibrium points in the presence of perturbations, while defectors fail to do so in this three-strategy competition. Moreover, the coexistence state, in which all three strategies exist in equilibrium, can be led by suitable parameters and stabilized for perturbations. These results elucidate the interplay between the characteristics of the public goods game and evolutionary dynamics in well-mixed systems.

关键词： Social system dynamics Social networks Game theory models

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Flocking of Mobile Robots by Bounded Feedback

Flocking of Mobile Robots by Bounded Feedback

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IEEE International Conference on automation Science and engineering

作者： Thanh-Trung Han Hung Manh La Bach Hoang Dinh Faculty of Electrical and Electronics Engineering Ton Duc Thang University Advanced Robotics and Automation (ARA) Lab Department of Computer Science and Engineering University of Nevada

ISBN: (纸本)9781509024100

This paper addresses the problem of flocking of mobile robots by bounded feedback. A control problem is formulated with the multiple goals: velocity consensus, collision avoidance, and cohesion maintenance. The flocking protocol is then obtained by means of control design. Particularly, a Lyapunov-like function is presented, the velocity control is designed to achieve coordination and linear speed consensus, and the steering control is designed for consensus on orientation. The convergence is verified via Barbalat's lemma. Simulation results with a group of mobile robots are presented to show the effectiveness of the proposed flocking control.

关键词： FLOCKING Mobile robots Velocity control steering control Bounded Feedback

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A New Mathematical Modelling Approach for Viticulture and Winemaking Using Fuzzy Cognitive Maps

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IFAC-PapersOnLine 2015年第24期48卷 15-20页

作者： Peter, Groumpos P. Antigoni, Anninou P. Vasileios, Groumpos P. Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rio26500 Greece Master Stud. Agricultural University of Athens Athens Greece

The aim of this paper is to present a new approach in modelling wine quality and quantity using Fuzzy Cognitive Maps trained by non linear Hebbian learning algorithm. The methodology described extracts the knowledge from the experts and exploits their experience on wine production. Two case studies with data from real vineyards were examined. The results of this study show that software tools using Fuzzy Cognitive Maps could be explored further and problems that arise during the wine production could be prevented by an efficient decision support system. © 2015, IFFCA (Internaitional Fedreation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Fuzzy rules Artificial intelligence Breweries Cognitive systems Decision support systems Wine Case studies Fuzzy cognitive map Hebbian learning algorithm New approaches viticulture Wine production Wine quality winemaking

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A new mathematical modelling approach for viticulture and winemaking using fuzzy cognitive maps

A new mathematical modelling approach for viticulture and wi...

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ELEKTRO

作者： Vasilios P. Groumpos Katerina Biniari Peter P. Groumpos Agricultural University of Athens Laboratory of Viticulture Iera Odos 75 Athens Greece Agricultural University of Athens Laboratory of Viticulture Athens Greece Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras Greece

关键词： Pipelines Agriculture Production Fuzzy cognitive maps Meteorology Mathematical model Electronic mail

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Steps toward Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 345-348页

作者： Fei-Yue Wang Xiao Wang Lingxi Li Li Li IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) Research Center of Computational Experiments and Parallel Systems the National University of Defense Technology Qingdao Academy of Intelligent Industries (QAII) QingdaoShandongChinaand SKL-MCCSCASIA Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis Department of Automation Tsinghua University Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

The origin of artificial intelligence is investigated, based on which the concepts of hybrid intelligence and parallel intelligence are presented. The paradigm shift in Intelligence indicates the ''new normal'' of cyber-social-physical systems (CPSS), in which the system behaviors are guided by Merton's Laws. Thus, the ACP-based parallel intelligence consisting of Artificial societies, Computational experiments and Parallel execution are introduced to bridge the big modeling gap in CPSS. © 2014 Chinese Association of automation.

关键词： Control systems electrical engineering

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