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作者： Kalhor, Ahmad Araabi, Babak N. Lucas, Caro Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Tehran Iran

In this paper, a systematic design of habitually evolving Takagi-Sugeno (TS) fuzzy systems, suggested for online prediction of processes with uncertainty, is introduced. A Habitually Linear Evolving Fuzzy System (HLEFS) starts off with an adaptive linear model and evolves into a TS fuzzy model whenever the linear model is unable to mitigate the output error. The number of rules in the HLEFS is controlled by an adaptive threshold on the error. The structure of the HLEFS tends to return to the adaptive linear model as soon as possible, and that is why we have dubbed the proposed model 'Habitually' Linear. Three theorems are stated and proved in a sequence in support of the HLEFS ability to keep the output error in a relatively small bound. It is shown that the adaptive linear model may not be good enough when the process changes abruptly and nonlinearly - what we call a Transient Significant Disturbance. In this case, it is proved that evolving into a TS fuzzy system with the proposed algorithm can mitigate the error. The performance of HLEFS in forecasting of daily electrical power consumption is studied and compared with that of four famous existing evolving fuzzy systems. Obtained results demonstrate the applicability and effectiveness of the proposed method in keeping the prediction error low with less number of fuzzy rules. © 2011 Elsevier Ltd. All rights reserved.

关键词： Errors

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A method based on the granger causality and graph kernels for discriminating resting state from attentional task

A method based on the granger causality and graph kernels fo...

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2012 International Conference on Biomedical engineering, ICoBE 2012

作者： Shahnazian, Danesh Mokhtari, Fatemeh Hossein-Zadeh, Gholam-Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran

ISBN: (纸本)9781457719899

Exploring the directional connections between brain regions is of great importance in understanding the brain function. As a method of this exploration, Granger causality is defined in terms of the amount of improvement in the estimation of a signal by past samples of another signal (cause). This method produced reliable results in various applications. In current study, we use connections of directed graphs as the features for discriminating two brain states, rest and attentional cueing task, in a block design fMRI dataset. We apply a support vector machine (SVM) which is enriched by graph kernels like random walk, graphlet and sub-tree kernels on directed graphs of different brain states. Graph kernel methods are a branch of graph matching methods and have recently been proposed as a theoretically sound and promising approach to the problem of graph comparison. They measure the inexact similarity between graphs. For the first time, we apply graph kernels on graphs of brain's effective connectivity. We achieved classification accuracy of 100% in discrimination of resting state from attentional task. We also obtain one graph for each brain state representing causal connections between brain regions. From the networks obtained for each state, we can infer that caudate is the source of information in both states and Left ventromedial prefrontal is the sink of information in the resting state. © 2012 IEEE.

关键词： Support vector machines

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Low-cost, high-capability, embedded systems for education and research: A toolbox for the Microsoft Kinect

Low-cost, high-capability, embedded systems for education an...

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119th ASEE Annual Conference and Exposition

作者： Fabian, Joshua Young, Tyler A. Jones, James Peyton Clayton, Garrett Miles Center for Nonlinear Dynamics and Control Villanova University Villanova United States Department of Electrical and Computer Engineering United States

ISBN: (纸本)9780878232413

Increasingly powerful, yet low-cost computing and sensing devices are now available for use in student designs and embedded mechatronic systems. The Microsoft Kinect, for example, though initially developed as a gaming device, provides rich sensing possibilities, with camera and depth images, again at remarkably low cost. However, the sophistication of such devices often requires a high degree of programming ability in order to exploit their evident capabilities. This paper describes progress on a National Science Foundation and Math Works sponsored project aimed at making these devices more accessible to student users through the use of Automatic Code Generation techniques. Specifically, the paper describes a new toolbox that has been developed which allows students to perform their designs from within the Matlab / Simulink environment, and then to implement these designs directly on a hardware platform coupled to the Kinect system. Students develop their designs using interconnected Simulink blocks and subsystems, and the 'build' process automatically cross-compiles and downloads the model to the target for execution. External mode capability can be used to monitor the target hardware as it executes in real time, enabling the user to tune model parameters and log data while their application is running. An example showing how the Kinect can be integrated into a higher level system design is shown as an example. © 2012 American Society for engineering Education.

关键词： Students

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Experimental Quantum Computing to Solve Systems of Linear Equations

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Physical Review Letters 2013年第23期110卷 230501-230501页

作者： X.-D. Cai C. Weedbrook Z.-E. Su M.-C. Chen Mile Gu M.-J. Zhu Li Li Nai-Le Liu Chao-Yang Lu Jian-Wei Pan Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China Hefei Anhui 230026 China Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto M5S 3G4 Canada Centre for Quantum Technologies National University of Singapore Singapore 117543 Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing 100084 China

Solving linear systems of equations is ubiquitous in all areas of science and engineering. With rapidly growing data sets, such a task can be intractable for classical computers, as the best known classical algorithms require a time proportional to the number of variables N. A recently proposed quantum algorithm shows that quantum computers could solve linear systems in a time scale of order log (N), giving an exponential speedup over classical computers. Here we realize the simplest instance of this algorithm, solving 2×2 linear equations for various input vectors on a quantum computer. We use four quantum bits and four controlled logic gates to implement every subroutine required, demonstrating the working principle of this algorithm.

关键词： Quantum computers

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High-speed SSVEP-based BCI: Study of various frequency pairs and inter-sources distances

High-speed SSVEP-based BCI: Study of various frequency pairs...

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IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health engineering

作者： Resalat, Seyed Navid Saba, Valiallah Afdideh, Fardin Heidarnejad, Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran AJA University of Medical Sciences Iran School of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781457721779

Brain computer Interface provides a new communication channel for people who have severe brain injuries. Among different types of BCIs, SSVEP-based one has been focused in recent years. In this type of BCI, selection of twinkling frequency of external visual stimulant and the distance between stimulants (in case of more than one stimulant) is so important. In this work, a SSVEP-based BCI with two external stimulants was designed. In order to determine the best twinkling frequency of stimulants and the best distance between them, the classification accuracy for seven different twinkling frequency pairs and five different stimulants distances was calculated. Two methods for feature extraction step were proposed and the Max classifier was used for classification in order to speed up the computational burden of classification step. Features were extracted from four different segment lengths (sweeps). The results showed that nearly in all sweeps and all inter-sources distances the frequency pair of 10-15 Hz has the highest classification accuracy among other frequency pairs, which is 92% in the inter-sources distance of 24 cm and sweep length of 3 seconds. In addition, the results demonstrated that the method 2 feature extraction technique outperforms the method 1. In addition, for determining the best sweep length, Information Transfer Rate (ITR) was computed and the results indicated that the sweep length of 0.5 second has the highest ITR, so would be practical in real-time applications of BCI. © 2012 IEEE.

关键词： Brain computer interface

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A novel system for driver's sleepiness detection using SSVEP

A novel system for driver's sleepiness detection using SSVEP

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16th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2012

作者： Resalat, Seyed Navid Saba, Valiallah Afdideh, Fardin Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran AJA University of Medical Sciences Tehran Iran

ISBN: (纸本)9781467314794

A novel EEG-based system for driver's sleepiness detection is proposed. Driver's sleepiness is an important factor in many accidents. Therefore, real-time sleepiness detection can restrain accidents effectively. In this study, SSVEPs are used for running the proposed system. In order to generate SSVEPs in the brain activities, two experimental setups consisting four single and paired LEDs are proposed. In addition, the effect of two different FFT-based feature extraction methods, and two different classifiers of the LDA and the SVM on the accuracy of the system are studied. Related features are extracted from three different segments (sweep lengths) of 0.5, 1, and 2 seconds. The experimental results show that higher sweep lengths have higher accuracies and the SVM classifier, experimental setup of 4-paired LEDs and sweep length of 1 second has the highest ITR value of 24 bits/min. Therefore, this study demonstrates the feasibility of the proposed system in a practical driving application. © 2012 IEEE.

关键词： Electroencephalography

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controllability and stability of discrete-time antilinear systems

Controllability and stability of discrete-time antilinear sy...

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Australian control Conference (AUCC)

作者： Ai-Guo Wu Guang-Ren Duan Wanquan Liu Victor Sreeram Harbin Institute of Technology Shenzhen Graduate School The University of Western Australia Shenzhen P. R. China Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin P. R. China Department of Computing Curtin University Perth Australia School of Electrical Electronic and Computer Engineering The University of West Australia Perth Australia

In this paper, the discrete-time antilinear systems are investigated. Firstly, a closed-form expression for the state response of discrete-time antilinear systems is established. Secondly, the concepts of reachability and controllability are proposed for discrete-time antilinear systems. With the closed-form expression of the state reponse as tools, anti-Gram criteria for reachability are given. In addition, a matrix rank criteria for reachability and controllability is given for time-invariant antilinear systems. In addition, an anti-Lyapnov equation approach is given to check the stability of the time-invariant antilinear systems.

关键词： Linear systems controllability Australia Educational institutions Equations Vectors

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Robust experiment design for system identification via semi-infinite programming techniques

Robust experiment design for system identification via semi-...

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Universite Libre de Bruxelles

作者： Katselis, Dimitrios Rojas, Cristian R. Welsh, James S. Hjalmarsson, Hakan Automatic Control Lab. and ACCESS Linnaeus Center Electrical Engineering KTE Royal Institute of Technology S-100 44 Stockholm Sweden School of Electrical Engineering and Computer Science University of Newcastle NSW 2308 Australia

ISBN: (纸本)9783902823069

Robust optimal experiment design for dynamic system identification is cast as a minmax optimization problem, which is infinite-dimensional. If the input spectrum is discretized (either by considering a Riemmann approximation, or by restricting it to the span of a finite dimensional linear space), this problem falls within the class of semi-infinite convex programs. One approach to this optimization problem of infinite constraints is the so called "scenario approach", which is based on a probabilistic description of the uncertainty to deliver a finite program that attempts to approximate the optimal solution with a prescribed probability. In this paper, we propose as an alternative an exchange algorithm based on some recent advances in the field of semi-infinite programming to tackle the same problem. This method is compared with the scenario approach both from the aspects of accuracy and computational efficiency. Furthermore, the comparison includes the MATLAB semi-infinite solver fseminf to provide a general palette of methods approximating the robust optimal design problem. © 2012 IFAC.

关键词： Computational efficiency

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Sparse online LS-SVM based on modified particle swarm optimization algorithm and application

Sparse online LS-SVM based on modified particle swarm optimi...

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2012 3rd International Conference on Intelligent control and Information Processing, ICICIP 2012

作者： Zhang, Weiping Niu, Peifeng Li, Guoqiang Institute of Electrical Engineering Yanshan University China Qinhuangdao Institute of Technology CO 066100 China Key Lab. of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling CO 066004 China Institute of Electrical Engineering Yanshan University CO 066004 China

ISBN: (纸本)9781457721427

In this paper, A simple and effective mechanism is proposed to realize the parsimoniousness of the online least squares support vector machine. Hence, the response time is curtailed. Besides, a modified Particle Swarm Optimization (PSO) algorithm is proposed to ascertain the optimal model parameters. Simulation results show that it outperforms GA and common PSO algorithms and LS-SVM model based on the modified PSO algorithm has the best regression accuracy and generalization ability. The sparse online LS-SVM algorithm is applied to build a turbine heat rate forecasting model, which possesses dynamic prediction functions. © 2012 IEEE.

关键词： Particle swarm optimization (PSO)

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Fault section estimation in bulk power grid based on Discrete Event System

Fault section estimation in bulk power grid based on Discret...

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International Conference on Sustainable Power Generation and Supply, SUPERGEN 2012

作者： Jiang, Yu Hu, Hexuan Zhang, Ye Sun, Dayan Li, Haifeng College of Energy and Electrical Engineering Hohai University Nanjing China College of Computer and Information Engineering Hohai University Nanjing China Jiangsu Electric Power Dispatching and Control Center 215 Shanghai Road Nanjing China

ISBN: (纸本)9781849196734

This paper proposes a method of Discrete Event System (DES) to deal with the fault section estimation problems in the bulk power system. Our approach of failure diagnosis is developing a discrete-event model of the system to be diagnosed followed by construction of the diagnoser. A clear framework is built based on the model description language of Discrete Event System (DES). Moreover, a mechanism of reasoning based on model state trajectories is introduced during the diagnosis procedure. Finally, an example is verified by the proposed method in actual power network of province Jiang Su in china.

关键词： Discrete event simulation

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