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2005 International Conference on Communications, Circuits and Systems

作者： Xiong, Cheng-Yi Wang, Cheng-Jun Tian, Jin-Wen Liu, Jian College of Electronic Information Engineering South-Center University for Nationalities Wuhan 430074 China Key Laboratory of Education Huazhong University of Science and Technology Ministry for Image Processing and Intelligent Control Wuhan 430074 China

ISBN: (纸本)0780390156

The number of arithmetic units used in one-dimensional (1-D) discrete wavelet transform (DWT) is the main consideration for reducing the area of VLSI implementation of 1-D DWT, while the size of intermediate memory used for data buffering is another dominate factor of effecting hardware complexity of VLSI implementation for two-dimensional (2-D) DWT. In this paper, we exploit the essential relationship between the size of temporal buffer (TB) required in the line-based architecture for 2-D DWT (LBA2DDWT) and the number of register used in 1-D DWT module, and present an improved method of mapping the registers used in 1-D DWT to the TB required in LBA2DDWT. Comparison results with the other design reported in previous literature demonstrate that, the proposed mapping method can reduce efficiently the size of memory required in LBA2DDWT. © 2005 IEEE.

关键词： Wavelet transforms

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Efficient parallel architecture for lifting-based two-dimensional discrete wavelet transform

Efficient parallel architecture for lifting-based two-dimens...

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2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005

作者： Xiong, Cheng-Yi Tian, Jin-Wen Liu, Jian College of Electronic Information Engineering South-Center University for Nationalities Wuhan 430074 China Key Laboratory of Education Huazhong University of Science and Technology Ministry for Image Processing and Intelligent Control Wuhan Hubei 430074 China

ISBN: (纸本)0780390067

An efficient generic architecture for two-dimensional discrete wavelet transform (2-D DWT) with line-based method is proposed with using lifting scheme, in which the parallelism of four subbands transform in lifting-based 2-D DWT is exploited. The proposed architecture is designed to generate 4 subbands coefficients concurrently per clock cycle that can perform a 1-level decomposition of a N×N image in approximately N2/4 working clock cycles, which has faster throughput rate but requires less hardware cost compared to the designs reported in previous literature. © 2005 IEEE.

关键词： Parallel processing systems

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Fuzzy sliding mode control applied to low noise switched reluctance motor control

Fuzzy sliding mode control applied to low noise switched rel...

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International Conference on control and Automation (ICCA)

作者： H. Rouhani C. Lucas R.M. Milasi M.N. Bahrami Iranian Applied Design Center of Excellence Mechanical Engineering Department University of Tehran Tehran Iran Iranian Control & Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by finite element method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.

关键词： Sliding mode control Fuzzy control Reluctance motors Magnetic noise Nonlinear dynamical systems Finite element methods Fuzzy systems Robust control Nonlinear systems Commutation

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H//sub/spl infin// control of linear parameter-dependent state-delayed systems

H//sub/spl infin// control of linear parameter-dependent sta...

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IEEE Conference on control Technology and Applications (CCTA)

作者： H.R. Karimi B. Moshiri P.J. Maralani B. Lohmann Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Institute of Automatic Control Technical University of Munich Munich Germany

In this paper, we deal with the issue of robust delay-independent asymptotic stability and robust disturbance attenuation problem for linear parameter-dependent systems. Using Hamiltonian-Jacoby-Isaac approach, a parameter-dependent LMI optimization is obtained. It is shown that by utilizing polynomial parameter-dependent quadratic Lyapunov functions, a parameter-dependent LMI optimization problem is derived. Therefore, state feedback control is determined by solving a parameter-independent LMI. Finally, the applicability of the proposed design is illustrated on a simple example

关键词： control systems Lyapunov method Robust stability Process control Polynomials Attenuation Linear systems Sufficient conditions Vectors intelligent control

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Adaptive H∞ -Contro1 Design for a Class of LPV Systems

Adaptive H∞ -Contro1 Design for a Class of LPV Systems

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IEEE Conference on Decision and control

In this paper, we focus on the issue of adaptive H ∞ -control design for a class of linear parameter-varying (LPV) systems based on the Hamiltonian-Jacobi-Isaac (HJI) method. By combining the idea of polynomially parameter-dependent quadratic functions and vector projection method to derive an adaptive H ∞ -control, sufficient conditions with high precision are given to guarantee both robust asymptotic stability and disturbance attenuation of the LPV systems with unknown constant parameters. The applicability of the proposed design method is illustrated on a simple example.

关键词： Robust stability Polynomials Linear matrix inequalities Symmetric matrices Attenuation Asymptotic stability Sufficient conditions Automatic control Programmable control Adaptive control

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EMOTIONAL LEARNING TO control LARGE-SCALE SYSTEMS

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IFAC Proceedings Volumes 2005年第1期38卷 293-298页

作者： Reyhaneh Bakhtiari Batool Labibi Control and Intelligent Processing Centre of Excellence Electrical and Computer Engineering Department University of Tehran Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, with a new look at emotional controller and modifying its structure; a novel approach to hierarchical control of large-scale systems is introduced. Design of controller is founded on emotional learning and the control system consists of neuro-fuzzy controller, whose weights are updated according to emotional signals. This signal is produced in a block called critic, whose job is to evaluate system behaviour. Simulation results demonstrate that the proposed learning scheme, which is applied to a nonlinear three-tank system, provides better control reliability and robustness than classic robust schemes.

关键词： Neuro-Fuzzy controller Emotional Learning intelligent System Large-Scale System Hierarchical control Multi-agent Systems

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Hybrid Modeling and Predictive control of a Multi-Tank System: A Mixed Logical Dynamical Approach

Hybrid Modeling and Predictive Control of a Multi-Tank Syste...

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International Conference on Computational Intelligence for Modelling, control and Automation, and International Conference on intelligent Agents, Web Technologies and Internet Commerce

作者： J. Habibi B. Moshiri A.K. Sedigh Control and Intelligent Processing Center of Excellence ECE Department University of Tehran Tehran Iran Electrical Engineering Department Khaje Nasir Toosi University of Technology Tehran Iran

Mixed logical dynamical (MLD) modeling appears as an effective and realistic approach in modeling and control of hybrid systems. In this modeling approach, dynamical and logical constraints as well as control system design specifications are transformed into so-called mixed-integer inequalities. In this paper, the MLD framework is used for modeling of a multi-tank system as a switched nonlinear system. control of fluid levels in multiple tanks is considered as a case study for predictive control of MLD systems. Translation of control problem specifications into mixed-integer inequalities shows the ability of MLD framework to deal with complex modeling and optimization tasks

关键词： Predictive models Predictive control Power system modeling control system synthesis Nonlinear systems Logic Process control intelligent control control systems Automata

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Model reduction based on the frequency weighted hankel-norm using genetic algorithm and its application to the power systems

Model reduction based on the frequency weighted hankel-norm ...

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IEEE Conference on control Technology and Applications (CCTA)

作者： M. Dehghani M.J. Yazdanpanah Elec. Engineering Faculty Amirkabir University of Technology슠 Tehran Iran Control & Intelligent Processing Center of Excellence Department of ECE University of Tehran Tehran Iran

This paper treats the problem of approximating an n th order system by a system of order k(k

关键词： Reduced order systems Genetic algorithms Power system modeling H infinity control Fourier transforms Process control intelligent control Frequency response Transfer functions

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Knowledge-based segmentation: Using simultaneous shape priori and histogram information to segment brain structures

Knowledge-based segmentation: Using simultaneous shape prior...

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Seventh IASTED International Conference on Signal and Image processing, SIP 2005

作者： Batmanghelich, Nematollah Soltanian-Zadeh, Hamid Araabi, Babak Najaar Elec. and Comp. Eng. Dept. Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran School of Cognitive Sciences Institute for Studies in Theoretical Physics and Mathematics Tehran Iran Image Analysis Lab. Radiology Dept. Henry Ford Health System Detroit MI United States

ISBN: (纸本)0889865183

In this paper, we propose a new method integrating both a priori shape information and our knowledge about gray levels of the desired structure. We describe an approach inspired from tracking to deal with non-uniform gray levels. We define focus region to consider both interior and exterior of the desired object. We utilize signed distance function to consider shape information. Embedding a priori shape and gray level knowledge in a statistical platform, we use correlation between changes in shape and histogram to improve the results. Our method successfully segments Thalamus and other brain structures.

关键词： Image segmentation

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Statistical inference in fuzzy cluster analysis of functional MRI

Statistical inference in fuzzy cluster analysis of functiona...

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Seventh IASTED International Conference on Signal and Image processing, SIP 2005

作者： Jahanian, Hesamoddin Soltanian-Zadeh, Hamid Hossein-Zadeh, Gholam Ali Control and Intelligent Processing Center of Excellence Elec. and Comp. Eng. Dept. University of Tehran Tehran 14399 Iran School of Cognitive Sciences Institute for Studies in Theoretical Physics and Mathematics Tehran Iran Image Analysis Lab. Radiology Dept. Henry Ford Health System Detroit MI United States

ISBN: (纸本)0889865183

Fuzzy cluster analysis (FCA) of functional magnetic resonance images, suffers from some drawbacks such as a priori definition of number of clusters and unidentified statistical significance of results. Here, we introduce a method to control the rate of false positive detection in FCA which gives a meaningful statistical significance to the results. Using this method, we also derive the optimal number of clusters. In this study by measuring the rate of false alarm detection while analyzing 6 experimental datasets, we evaluate the introduced method for making statistical inference.

关键词： Fuzzy control

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