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This is uniform quantization coded in matlab

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,

很有用的资料，智能信息处理相关程序，希望对大家有用！！！！！！！！！！(very good！！！！！111)

matlab学习书籍，对于初学者特别有用。(matlab learning books, particularly useful for beginners.)

海上地震勘探中的多次波的一种——鬼波的模拟及其各种响应机理研究(Multiples of a marine seismic exploration- the ghost wave simulation and its various response mechanism )

一：多项式插值的Runge现象 二：Remez算法 三：Schmidt正交(Introduction polynomial interpolation Runge phenomenon, Remez algorithm, Schmidt orthogonal matlab algorithm)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)

设计一个2阶加权自适应噪声对消器，对经加性白高斯噪声信道干扰的正弦信号进行滤波(The design of a 2-order-weighted adaptive noise cancellation, and for the AWGN channel interference filtering of sinusoidal signals)

LMI Control Toolbox For Use with MATLAB

这是一个用matlab编写的，基于CAMC，pid神经网络的非线性系统识别程序，能够很好的识别非线性系统(Based on CAMC/PID Nonlinear System Identification)