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IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA)

作者： Saeed Motiian Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI USA

Particle Swarm Optimization (PSO) is an algorithm based on social intelligence, utilized in many fields of optimization. In applications like speech recognition, due to existence of high dimensional matrices, the speed of standard PSO is very low. In addition, PSO may be trapped in a local optimum. In this paper, we introduce a novel algorithm that is faster and generates superior results than the standard PSO. Also, the probability of being trapped in a local optimum is decreased. To illustrate advantages of the proposed algorithm, we use it to train a Hidden Markov Model (HMM) and find the minimum of the Ackley function.

关键词： Hidden Markov models Training Particle swarm optimization Speech processing Educational institutions Algorithm design and analysis Optimization

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Distributed Output Regulation of Uncertain and Switching Multi-Agent Systems via Internal Model Design

Distributed Output Regulation of Uncertain and Switching Mul...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Xiaoli Wang Yiguang Hong Zhong-Ping Jiang School of Information Science and Engineering Harbin Institute of Technology atWeihaiWeihai 264209 Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy o Department of Electrical and Computer Engineering Polytechnic Institute of New York University Six

In this paper, the distributed robust output regulation problem of linear multi-agent systems (MAS) is considered. The driving force from the active leaders or the environmental disturbances is formulated as an input of an exogenous system (or exosystem) of the considered multi-agent networks. A systematic distributed design approach is proposed to handle output regulation via dynamic output feedback with the help of canonical internal model (IM). With common solutions of regulator equations and Lyapunov functions, the distributed robust output regulation with switching interconnection topology is designed to achieve collective aims.

关键词： Output regulation Multi-agent Systems Internal Model Switching Topology

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Effect of Different Diffusion Maps on Registration Results

Effect of Different Diffusion Maps on Registration Results

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Iranian Machine Vision and Image Processing (MVIP)

作者： Maryam Afzali Emad Fatemizadeh Hamid Soltanian-Zadeh Department of Electrical Engineering Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, we compare registration results obtained using different diffusion maps extracted from diffusion tensor imaging (DTI). Fractional Anisotropy (FA) and Ellipsoidal Area Ratio (EAR) are two diffusion maps (indices) that may be used for image registration. First, we use FA maps to find deformation matrix and register diffusion weighted images. Then, we use EAR maps and finally we use both of FA and EAR maps to register diffusion weighted images. The difference between FA values before deformation and after registration using the FA alone or EAR alone has a median of 0.57 and using both of them has a median of 0.29. Therefore, the results of registration using both of the FA and EAR indices are superior to those obtained using only one of them alone.

关键词： Ear Diffusion tensor imaging Tensile stress Registers Eigenvalues and eigenfunctions Anisotropic magnetoresistance Image registration

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A new fast approach of single-pass perceptual embedded zero-tree coding

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ICIC Express Letters 2011年第8 A期5卷 2523-2530页

作者： Wu, Bing-Fei Huang, Hao-Yu Chen, Yen-Lin Hsieh, Chin-Ming Institute of Electrical and Control Engineering National Chiao Tung University No. 1001 University Road Hsinchu 30050 Taiwan Department of Computer Science and Information Engineering National Taipei University of Technology No. 1 Sec. 3 Chung-hsiao E. Road Taipei 10608 Taiwan

This paper proposes a block-edge based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method. The SPPEZC approach integrates two novel compression concepts, the Block-Edge Detection (BED) and Low-Complexity and Low-Memory Entropy Coder (LLEC) for coding efficiency and quality. Since the information from the edge information can provide beneficial cue for preserving the perceptual quality of compressed images, this paper presents an effective combinative coding scheme, named Single- Pass Perceptual Embedded Zero-tree Coding (SPPEZC), which integrates the improved LLEC and the block edge information, to provide better perceptual quality on compressed images. Based on the block edge information, this paper proposes an adaptive architecture for adjusting the quantization table and then codes the quantized coefficients with the LLEC. Experimental results and comparisons demonstrate that the proposed SPPEZC technique can provide both computational efficiency and satisfactory perceptual quality on compressed images.

关键词： Discrete cosine transforms

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Introduction

Communications and Control Engineering

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Communications and control engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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dotLAB: Integrating remote labs in dotLRN

dotLAB: Integrating remote labs in dotLRN

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IEEE Education engineering (EDUCON)

作者： Alberto Pesquera Raúl Morales Rafael Pastor Salvador Ros Roberto Hernandez Elio Sancristobal Manuel Castro Innovation and Technological Development Centre UNED Spanish University of Distance Education Madrid Spain Communication and Control Systems Department Electrical and Computer Engineering Department UNED (Spanish National University of Distance Education) Madrid Spain

Nowadays, there are a great number of universities and organizations working in e-learning solutions. One of most well-known is the learning management system or LMS that allow displaying theoretical content in an organized and controlled way. In some jobs and studies it is necessary that the student get a practical knowledge as well as a theoretical knowledge. To obtain this practical knowledge, the universities and organizations are developing virtual labs and Web labs. At these moments the LMS and Web labs are working independently. We are designing and developing a new architecture allowing the integration of the LMS with different Web labs from different universities. This architecture must allow the student, teachers and administrators to use the LMS's services and virtual labs as if he was working with the same software..

关键词： Laboratories Communities Least squares approximation engineering education Portals Electronic learning Standards

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A Complementary Modularized Ramp Metering Approach Based on Iterative Learning control and ALINEA

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IEEE Transactions on Intelligent Transportation Systems 2011年第4期12卷 1305-1318页

作者： Zhongsheng Hou Xin Xu Jingwen Yan Jian-Xin Xu Gang Xiong Advanced Control Systems Laboratory School of Electronic and Information Engineering Beijing Jiaotong University BJTU Beijing China Institute of Automation College of Mechatronics and Automation National University of Defense Technology Changsha China Department of Electrical and Computer Engineering National University of Singapore Singapore Automation Institute Chinese Academy of Sciences (CAS) Beijing China

Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further combined with Asservissement Linéaire d'Entrée Autoroutière (ALINEA) in a complementary manner to achieve the desired control performance. The ILC-based ramp metering strategy and the modified modularized ramp metering approach based on ILC and ALINEA in the presence of input constraints are also analyzed to highlight the advantages and the robustness of the proposed methods. Extensive simulations are given to verify the effectiveness of the proposed approaches.

关键词： Traffic control Mathematical model Convergence Learning systems Feedforward neural networks

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Implementation of sEMG-Based Real-Time Embedded Adaptive Finger Force control for a Prosthetic Hand

Implementation of sEMG-Based Real-Time Embedded Adaptive Fin...

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IEEE Conference on Decision and control

作者： Chandrasekhar Potluri Madhavi Anugolu Yimesker Yihun Parmod Kumar Steve Chiu Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center (MCERC) Idaho State University Pocatello Idaho 83201 USA MCERC Idaho State University Pocatello Idaho 83201 USA MCERC College of Engineering Idaho State University Pocatello Idaho 83201 USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello Idaho 83209 USA Department of Mechanical and Nuclear Engineering MCERC Idaho State University Pocatello Idaho 83209 USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello Idaho 83201 USA

ISBN: (纸本)9781612848006

This paper presents surface electromyographic (sEMG)-based, real-time Model Reference Adaptive control (MRAC) strategy for a prosthetic hand prototype. The proposed design is capable of decoding the prerecorded sEMG signal as well as the sensory force feedback from the sensors to control the force of the prosthetic hand prototype using a PIC 32MX360F512L microcontroller. The input sEMG signal is preprocessed using a Half-Gaussian filter and fed to a fusion based Multiple Input Single Output (MISO) skeletal muscle force model. This MISO system provides the estimated finger forces to be produced as input to the prosthetic hand prototype. A simple MRAC method along with a two stage embedded design is used for the force control of the prosthetic hand. The sensed force at the fingertip is fed back to the controller for real-time operation. The data is transmitted to the computer through an universal asynchronous receiver/transmitter (UART) interface of the proposed embedded design. Results show good performance in controlling the finger force as well as shortcomings of the mechanical design of the prosthetic hand prototype to be addressed in future.

关键词： Prosthetic hand Force control model reference adaptive control Force force feedback Equipment Design Fingers Hydrologic models Embedded design

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Containment control of networked Lagrange systems with group dispersion and cohesion behaviors

Containment control of networked Lagrange systems with group...

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Chinese control Conference (CCC)

作者： Ziyang Meng Zongli Lin Wei Ren Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville 22904-4743 U.S.A. Department of Electrical and Computer Engineering Utah State University Logan 84322 U.S.A.

In this paper, distributed containment control with group dispersion and cohesion behaviors are discussed for a group of Lagrange systems. Both the cases of constant leaders' generalized coordinate derivatives and time-varying leaders' generalized coordinate derivatives are considered. The proposed control algorithms are shown to obtain velocity matching, connectivity maintenance and collision avoidance. In addition, the sum of the steady-state distances between followers and the convex hull formed by the leaders is shown to be bounded and this bound is explicitly given.

关键词： Lead Dispersion Topology Sensors Laplace equations Maintenance engineering Algorithm design and analysis

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Experiment design for Pauli channel estimation

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IFAC Proceedings Volumes 2011年第1期44卷 4344-4349页

作者： Gábor Balló Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed.

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