Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that you will be able to use them correctly, appreciate
their limitations, and modify them when necessary to suit your own needs. The
topics include
* introduction to Matlab,
* linear equations,
* interpolation,
* zero and roots,
* least squares,
* quadrature,
* ordinary di?erential equations,
* random numbers,
* Fourier analysis,
* eigenvalues and singular values,
* partial di?erential equations.
Toolbox for Numerical Computing with MATLAB （by Cleve Moler).
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that you will be able to use them correctly, appreciate
their limitations, and modify them when necessary to suit your own needs. The
topics include
* introduction to Matlab,
* linear equations,
* interpolation,
* zero and roots,
* least squares,
* quadrature,
* ordinary di?erential equations,
* random numbers,
* Fourier analysis,
* eigenvalues and singular values,
* partial differential equations.
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
外國人開發的電磁時域有限差分方法工具包
Electromagnetic Finite-Difference Time-Domain (EmFDTD)
is a basic two-dimensional FDTD code developed at the
School of Electrical Engineering, Sharif University of
Technology.
This code has been written based on the standard
Yee s FDTD algorithm. Applications include propagation,
scattering, and diffraction of electromagnetic waves
in homogeneous and non-homogeneous isotropic media
for in-plane propagating waves. Negative permittivites
or permeabilities as well as dispersion is not included.
zero, Periodic, and Perfectly Matched Layer boundary
conditions may be selectively applied to the solution
domain.
The program is best suited for study of propagation and
diffraction of electromagnetic waves in Photonic Crystal
structures.
EmFDTD is written in MATLAB language and has been
tested under MATLAB 5.0 and higher versions.
The ADC0803 family is a series of three CMOS 8-bit successive
approximation A/D converters using a resistive ladder and
capacitive array together with an auto-zero comparator. These
converters are designed to operate with microprocessor-controlled
buses using a minimum of external circuitry. The 3-State output data
lines can be connected directly to the data bus.
An adaptive fuzzy integral sliding mode
controller for mismatched time-varying linear systems is
presented in this paper. The proposed fuzzy integral sliding
mode controller is designed to have zero steady state
system error under step inputs and alleviate the undesired
chattering around the sliding surface
