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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chin-Teng Lin Yu-Kai Wang Chieh-Ning Fang Yi-Hsin Yu Jung-Tai King the Faculty of Engineering and Information Technology University of Technology Sydney (UTS) Australia the Department of Computer Science and Brain Research Center National Chiao-Tung University Taiwan Institute of Electrical Control Engineering and Brain Research Center National Chiao-Tung University Taiwan the Brain Research Center National Chiao-Tung University Taiwan

ISBN: (纸本)9781424492695

The improvement of brain imaging technique brings about an opportunity for developing and investigating brain-computer interface (BCI) which is a way to interact with computer and environment. The measured brain activities usually constitute the signals of interest and noises. Applying the portable device and removing noise are the benefits to real-world BCI. In this study, one portable electroencephalogram (EEG) system non-invasively acquired brain dynamics through wireless transmission while six subjects participated in the rapid serial visual presentation (RSVP) paradigm. The event-related potential (ERP) was traditionally estimated by ensemble averaging (EA) to increase the signal-to-noise ratio. One adaptive filter of data-reusing radial basis function network (DR-RBFN) was also utilized as the estimator. The results showed that this portable EEG system stably acquired brain activities. Furthermore, the task-related potentials could be clearly explored from the limited samples of EEG data through DR-RBFN. According to the artifact-free data from the portable device, this study demonstrated the potential to move the BCI from laboratory research to real-life application in the near future.

关键词： BCI RSVP EA

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Dynamic anti-windup design for anticipatory activation:enlargement of the domain of attraction

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Science China(information Sciences) 2014年第1期57卷 164-177页

作者： WU XiongJun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain level or in anticipation of its *** the case of static anti-windup compensators,it has been shown that an anti-windup compensator designed for activation in anticipation of actuator saturation would lead to better performance than those designed for immediate or delayed activation could,both in terms of transient performance and the size of the domain of *** recently,it has been shown that a dynamic anti-windup compensator designed for anticipatory activation would also result in better transient performance than those designed for immediate or delayed activation *** this paper,we design dynamic anti-windup compensators for the enlargement of the domain of *** compensators are designed respectively for immediate,delayed and anticipatory *** will show by simulation that a dynamic anti-windup compensator designed for anticipatory activation would result in a larger domain of attraction than a dynamic anti-windup compensator designed for immediate or delayed activation could.

关键词： actuator saturation anti-windup anticipatory activation domain of attraction dynamic com-pensator

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Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network

Continuous Travel Time Prediction for Transit Signal Priorit...

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International Conference on Intelligent Transportation

作者： Xiong Gang Wenwen Kang Feiyue Wang Fenghua Zhu Yisheng Lv Xisong Dong Jukka Riekki Susanna Pirttikangas State Key Lab. of Manage. & Control for Complex Syst. Institute of Automation Chinese Academy of Sciences Beijing Beijing CN The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences Dongguan CHINA Faculty of Information Technology and Electrical Engineering University of Oulu Finland

It has been recognized by many researchers that accurate bus travel time prediction is critical for successful deployment of traffic signal priority (TSP) systems. Although there exist a lot of studies on travel time prediction for Advanced Traveler information Systems (ATIS), this problem for TSP purpose is a little different and the amount of literature is limited. This paper proposes a deep learning based approach for continuous travel time prediction problem. Parameters of the deep network are fine-tuned following a layer-by-layer pre-training procedure on a dataset generated by traffic simulations. Variables that may affect continuous travel time are selected carefully. Experiments are conducted to validate the performance of the proposed model. The results indicate that the proposed model produces prediction with mean absolute error less than 4 seconds, which is accurate enough for TSP operations. This paper also reveals that, except for obvious factors like speed, travel distance and traffic density, the signal time when the prediction is made is also an important factor affecting travel time.

关键词： Vehicles Predictive models Object oriented modeling Training Artificial neural networks Data models

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Computer-aided geometric sensitivity analysis of plane trusses with a square grid topology

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2014年第2期58卷 55-68页

作者： Dóbé, Péter Domokos, Gábor Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok krt 2. BudapestH-1117 Hungary Department of Mechanics Materials and Structures Faculty of Architecture Budapest University of Technology and Economics Muegyetem rkp. 3. BudapestH-1111 Hungary

A recent theory assigns a single scalar 0 ≤ r ≤ 1 to pin-jointed plane trusses, characterising their geometric sensitivity with respect to small displacements of individual joints. Here we investigate how r is varying in n x m minimally rigid quadrangulations and find that nontrivial patterns correspond both to maximal and minimal values of r. © 2014, Technical University of Budapest. All rights reserved.

关键词： Sensitivity analysis

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Vision-Based Kinematic Calibration of Spherical Robots

Vision-Based Kinematic Calibration of Spherical Robots

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RSI/ISM International Conference on Robotics and Mechatronics

作者： Pedram Agand Hamid D. Taghirad Amir Molaee Advanced Robotics and Automation System (ARAS) Industrial Control Center of Excellence (ICEE) Department of Systems and Control Faculty of Electrical Engineering K. N. Toosi University of Technology Iran

ISBN: (纸本)9781467372350

In this article, a method to obtain spatial coordinate of spherical robot's moving platform using a single camera is proposed, and experimentally verified. The proposed method is an accurate, flexible and low-cost tool for the kinematic calibration of spherical-workspace mechanisms to achieve the desired accuracy in position. The sensitivity and efficiency of the provided method is thus evaluated. Furthermore, optimization of camera location is outlined subject to the prescribed cost functions. Finally, experimental analysis of the proposed calibration method on ARAS Eye surgery Robot (DIAMOND) is presented;In which the accuracy is obtained from three to six times better than the previous calibration.

关键词： Kinematic Calibration Vision-Base Positioning Eye Surgery Robot Spherical Workspace

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Improving classification accuracy using fuzzy method for BCI signals

Improving classification accuracy using fuzzy method for BCI...

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作者： Wei, Yu Jun, Yang Lin, Sun Hong, Li Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650504 China Department of Electrical and Electronics Engineering Chengdu Technological University Chengdu611730 China School of Information Science and Engineering Yunnan University Kunming650091 China

Electroencephalograph (EEG) signals feature extraction and processing is one of the most difficult and important part in the brain-computer interface (BCI) research field. EEG signals are generally unstable, complex and have low signalnoise ratio, which is difficult to be analyzed and processed. To solve this problem, this paper disassembles EEG signals with the empirical mode decomposition (EMD) algorithm, extracts the characteristic values of the major intrinsic mode function (IMF) components, and then classifies them with fuzzy C-means (FCM) method. Also, comparison research is done between the proposed method and several current EEG classification methods. Experimental results show that the classification accuracy based on the EEG signals of the second BCI competition in 2003 is up to 78%, which is superior to those of the comparative EEG classification methods. © 2014 - IOS Press and the authors.

关键词： Intrinsic mode functions

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From linear to nonlinear model predictive control of a building 19

From linear to nonlinear model predictive control of a build...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Pčolka, Matej Žáčeková, Eva Robinett, Rush Čelikovský, Sergej Šebek, Michael Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Mechanical Engineering-Engineering Mechanics Michigan Technological University United States Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Czech Republic

ISBN: (纸本)9783902823625

In the building climate control area, the linear model predictive control (LMPC)- nowadays considered a mature technique-benefits from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time-varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is verified on a set of numerical experiments performed using a high fidelity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements. © IFAC.

关键词： Model predictive control

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Two-dimensional proximate time-optimal servomechanism

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Australian Journal of electrical and Electronics engineering 2014年第3期11卷 317-326页

作者： Salton, A.T. Zheng, J. Flores, J.V. Lisboa, L.P. Group of Automation and Control Systems Pontificia Universidade Católica do Rio Grande do Sul Porto Alegre Brazil Faculty of Engineering and Industrial Sciences Swinburne University of Technology HawthornVIC Australia Department of Electrical Engineering Universidade Federal do Rio Grande do Sul Porto Alegre Brazil

This paper focuses on the development of a proximate time optimal control method for two-dimensional rigid body systems, eg. XY positioning tables. Our approach is based on the traditional proximate time-optimal servomechanism (PTOS), which starts with a near-time-optimal non-linear controller and then switches to a linear controller as the system output approaches the desired target. This work proposes to expand the PTOS, a unidirectional control law to two-dimensional systems, in order to perform linear point to point trajectories in minimum time. © Institution of Engineers Australia, 2014.

关键词： Linear control systems

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Networked systems with incomplete information

Abstract and Applied Analysis

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Abstract and Applied Analysis 2015年第1期2015卷

作者： Wang, Zidong Shen, Bo Dong, Hongli He, Xiao Hu, Jun Department of Computer Science Brunel University London Uxbridge Middlesex UB8 3PH United Kingdom School of Information Science and Technology Donghua University Shanghai 200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Automation Tsinghua University Beijing 100084 China Department of Applied Mathematics Harbin University of Science and Technology Harbin 150080 China

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Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

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Journal of control and Decision 2014年第3期1卷 214-225页

作者： Jiahu Qin Huijun Gao Tasawar Hayat Fuad E.Alsaadi Department of Automation University of Science and Technology of ChinaHefeiChina Research School of Engineering Australian National UniversityCanberraAustralia Research Institute of Intelligent Control and Systems Harbin Institute of TechnologyHarbinChina Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University(KAU)JeddahSaudi Arabia Faculty of Engineering Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan

This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.

关键词： synchronisation double-integrator agents weakest possible communication topology rate of convergence

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