1065- Quantum Transport: Atom to Transistor

مقاله شبیه سازی شده

کد پروژه: 1065

 

موضوع: الکترونیک

 

شامل:کتاب اصلی 419 صفحه+ فایل شبیه سازی تمامی اشکال با نرم افزار متلبMatlab 

 

عنوان کتاب:

Quantum Transport: Atom to Transistor

Supriyo Datta

 

آدرس: cambridge

مشخصات:  Quantum Transport
دانلود
: PDF

 

خلاصه:

ABSTRACT:

This book presents the conceptual framework underlying the atomistic theory of matter, emphasizing those aspects that relate to current flow. This includes some of the most advanced concepts of non-equilibrium quantum statistical mechanics. No prior acquaintance with quantum mechanics is assumed. Chapter 1 provides a description of quantum transport in elementary terms accessible to a beginner. The book then works its way from hydrogen to nanostructures, with extensive coverage of current flow. The final chapter summarizes the equations for quantum transport with illustrative examples showing how conductors evolve from the atomic to the ohmic regime as they get larger. Many numerical examples are used to provide concrete illustrations and the correspondingMatlab codes can be downloaded from the web. Videostreamed lectures, keyed to specific sections of the book, are also available through the web. This book is primarily aimed at senior and graduate students.

AUTHOR

Supriyo Datta is the Thomas Duncan Distinguished Professor in the School of Electrical and Computer Engineering at Purdue University. He is also the Director of the NASA Institute for Nanoelectronics and Computing. He shared the IEEE Cledo Brunetti award in 2001 and is a Fellow of the IEEE, the American Physical Society (APS), and the Institute of Physics (IOP). He has written three other books.

Reviews & endorsements

'Molecular transport phenomena in junctions is a very 'hot' area, that is best understood in terms of quantum transport phenomena in general. This book, by one of the true leaders in this field, presents and clarifies molecular transport in the context of the larger quantum transport area. The text is lucid, masterful, understandable and unified. The numerical examples and MATLAB codes combine with the discussions to provide a strongly integrated and very readable overview of the field.' Mark Ratner, Northwestern University

'A lucid treatment of what's destined to be the 'next big thing' for electrical engineers - conduction at the atomic scale - eminently suitable for students and professionals alike. The generous use of examples and clarifying remarks, together with the novel approach of sequentially building up transport theory from the 'bottom up' and a genuine flair for effortlessly bringing together salient aspects of physics and engineering makes this a very useful book, indeed.' Steve Laux, IBM, Yorktown Heights

'In recent years, scientists have developed a powerful practical technique based on Green function methods for calculating transport through small open systems. Supriyo Datta is one of its leading exponents and his new textbook makes a valiant and fascinating effort to use the formalism to provide a simple exposition of quantum transport on the atomic scale … It is more accessible, more embracing and a much better read than his earlier monograph Electronic Transport in Mesoscopic Systems. It contains excellent examples, good breadth and progressive detail, and is of real value to electronic engineers, physicists, and chemists researching modern interdisciplinary nanoelectronics.' Chemistry World

 

سفارش پروژه

 

1055- A real-time learning control approach for nonlinear continuous-time system using recurrent neu

مقاله شبیه سازی شده

کد پروژه: 1055

موضوع:شبکه عصبی

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab +گزارش کامل از خلاصه ای از مقاله و نتایج شبیه سازی

عنوان مقاله:

A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks

آدرس:IEEE

خلاصه:

Abstract

In this paper, a real-time iterative learning control (ILC) approach for a nonlinear continuous-time system using recurrent neural networks (RNNs) with time-varying weights is presented. Two RNNs are utilized in the ILC system. One is used to approximate the nonlinear system and another is used to mimic the desired system response. The ILC rule is obtained by combining the two RNNs to form a neural network control system. Also, a kind of iterative RNNs training algorithm is developed based on the two-dimensional (2-D) system theory. An RNN using the proposed 2-D training algorithm is able to approximate any trajectory to a very high degree of accuracy. Simulation results show that the proposed ILC approach is very efficient. The newly developed 2-D RNNs training algorithms provides a new dimension to the application of RNNs in a nonlinear continuous-time system

سفارش پروژه

 

1026-  Temperature prediction based on fuzzy clustering and fuzzy rules interpolation techniques

مقاله شبیه سازی شده

کد پروژه: 1026

 

موضوع: کنترل فازی  Fuzzy Control

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab 

 

عنوان مقاله:

 Temperature prediction based on fuzzy clustering and fuzzy rules interpolation techniques

پیش بینی دمای هوا براساس خوشه بندی فازی و تکنیکهای درونیابی قواعد فازی

 
Address: ieeexplore

 

ABSTRACT

In this paper, we present a new method to deal with temperature prediction based on fuzzy clustering and fuzzy rules interpolation techniques. First, the proposed method constructs fuzzy rules from training samples based on the fuzzy C-Means clustering algorithm, where each fuzzy rule corresponds to a cluster and the linguistic terms appearing in the fuzzy rules are represented by triangular fuzzy sets. Then, it performs fuzzy inference based on the multiple fuzzy rules interpolation scheme, where it calculates the weight of each fuzzy rule with respect to the input observation based on the defuzzified values of triangular fuzzy sets. Finally, it uses the weight of each fuzzy rule to calculate the forecasted output. We also apply the proposed method to handle the temperature prediction problem. The experimental result shows that the proposed method gets higher average forecasting accuracy rates than Chen and Hwang's method.

سفارش پروژه

 

1023- An iterative learning control of Robot Manipulators

مقاله شبیه سازی شده

کد پروژه: 1023

 

موضوع: رباتیک

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab +گزارش کامل از خلاصه ای از مقاله و نتایج شبیه سازی

 

عنوان مقاله:

An iterative learning control of Robot Manipulators

 

 

Address: ieeexplore


Abstract:

An iterative learning scheme comprising a unique feedforward learning controller and a linear feedback controller is presented. In the feedback loop, the fixed-gain PD controller provides a stable open neighborhood along a desired trajectory. In the feedforward path, on the other hand, a learning control strategy is exploited to predict the desired actuator torques. It is shown that the predicted actuator torque converges to the desired one as the iteration number increases. The convergence is established based on the Lyapunov stability theory. The proposed learning scheme is structurally simple and computationally efficient. Moreover, it possesses two major advantages: the ability to reject unknown deterministic disturbances and the ability to adapt itself to the unknown system parameters

سفارش پروژه

1012- اجرای الگوریتم wk means در متلب روی دیتاست

مقاله شبیه سازی شده

کد پروژه: 1012

 

موضوع:اجرای الگوریتم WK-means

 

شامل: فایل شبیه سازی با نرم افزار متلبMatlab 

 

عنوان مقاله:

اجرای الگوریتم wk means در متلب روی دیتاست 




سفارش پروژه

 

1057- DSP Mini-Project:  An Automatic Speaker Recognition System

مقاله شبیه سازی شده

کد پروژه: 1057

 

موضوع: DSP - Digital Signal Processing - پردازش سیگنال

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab + گزارش شبیه سازی Word

 

عنوان مقاله:

 

DSP Mini-Project:

An Automatic Speaker Recognition System

 

Overview

Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker's voice to verify their identity and control access to services such as voice dialing, banking by telephone, telephone shopping, database access services, information services, voice mail, security control for confidential information areas, and remote access to computers.

This document describes how to build a simple, yet complete and representative automatic speaker recognition system.  Such a speaker recognition system has potential in many security applications.  For example, users have to speak a PIN (Personal Identification Number) in order to gain access to the laboratory door, or users have to speak their credit card number over the telephone line to verify their identity.  By checking the voice characteristics of the input utterance, using an automatic speaker recognition system similar to the one that we will describe, the system is able to add an extra level of security.

 

سفارش پروژه

1001_ Application of an improved PSO algorithm to optimal tuning of PID gains for water turbinegover

مقاله شبیه سازی شده

کد پروژه: 1001

موضوع:الگوریتم PSO و کنترل بهینه

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab +گزارش کامل از خلاصه ای از مقاله و نتایج شبیه سازی

عنوان مقاله:

Application of an improved PSO algorithm to optimal tuning of PID gains for water turbinegovernor

آدرس:sciencedirect

خلاصه:

Abstract

In this paper, an improved particle swarm optimization (IPSO) algorithm is proposed. Besides the individual best position and the global best position, a nominal average position of the swarm is introduced in IPSO. The performance of IPSO is compared to different PSO variants with five well-known benchmark functions. The experimental results show that the proposed IPSO algorithm improves the searching performance on the benchmark functions. And then, IPSO, as well as other PSO variants, is applied to optimal tuning of Proportional–Integral–Derivative (PID) gains for a typical PID control system of water turbine governor. The computer simulation results of an actual hydro power plant in China show that IPSO algorithm has stable convergence characteristic and good computational ability, and it is an effective and easily implemented method for optimal tuning of PID gains of water turbine governor.

 

سفارش پروژه