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matlab的介绍及其实例，很管用的哦，你不会失望的(matlab shili)

主要设计了在matlab下异步电动机双闭环控制的仿真。(The main design of the closed-loop control of asynchronous motor in matlab simulation.)

The induction motor is fed by a current-controlled PWM inverter which is built using a Universal Bridge block. The motor drives a mechanical load characterized by inertia J, friction coeficient B, and load torque TL . The speed control loop uses a proportional-integral controller to produce the quadrature-axis current reference iq* which controls the motor torque. The motor flux is controlled by the direct-axis current reference id*. Block DQ-ABC is used to convert id* and iq* into current references ia*, ib*, and ic* for the current regulator. Current and Voltage Measurement blocks provide signals for visualization purpose. Motor current, speed, and torque signals are available at the output of the Asynchronous Machine block.

说明：  计算分数阶李雅普诺夫指数的Matlab代码(Matlab code for Lyapunov exponents of fractional order)

matlab一本学习非常好的书，大家可以读一下，快速入门(matlab a learning very good book, we can read the Quick Start)

have not registered DSD

polar码的SC译码算法，可设置不同信噪比，不同码长，可改为SCL算法和CA_SCL算法。核心部分采用C程序编写，主要框架采用matlab编写，极大提高了运行速度。 (SC polar code decoding algorithm, you can set different SNR, different code lengths, can be changed SCL algorithm and CA_SCL algorithms. The core part of C programming, the main framework for the use of matlab prepared, greatly increasing the speed.)

本程序可以产生一组正态模拟数，用来模拟实际生产中服从或近似服从正态分布的数据，很有用。(This procedure can generate a group of normal simulation the number used to simulate the actual production or similar to obey normal distribution of data, very useful.)

基于matlab的随机数的生成，包括其他调用的函数，(Random number generation based on MATLAB, including other call function )

基于maglab/simulink平台设计的利用duffing振子检测微弱正弦信号，非常好的一个源程序，自己亲自调试，运行在matlab2012b上没有问题，仿真步长0.01s,采用RK四阶算法。若有问题，欢迎指教(Based maglab/simulink platform using duffing detect weak sinusoidal oscillator signal, a very good source, personally commissioning, operation without problems on matlab2012b, simulation step 0.01s, using the fourth-order RK algorithm. If questions, please advise)