MATLAB for Control Engineers by Prof. Dr. Academic Educator

在本课程中，我们教授如何使用 MATLAB 进行控制工程主题。我们主要针对以下主题教授 MATLAB 的使用：

—- MATLAB 中的多项式函数

—-传递函数计算使用MATLAB，MATLAB中的状态空间建模

—- MATLAB中控制系统的串并联

—- MATLAB中控制系统的脉冲和阶跃响应

—- MATLAB中的二阶控制系统性能参数

—- MATLAB中控制系统的稳定性分析

—- Routh-Hurwitz 稳定性检查，MATLAB 中的根轨迹分析

—- MATLAB 中的奈奎斯特分析

—- MATLAB中的控制系统应用工具

—- MATLAB 控制系统工具箱

—- 更多话题及时补充（换极、可控、可观察）

控制工程或控制系统工程是一门处理控制系统的工程学科，应用控制理论来设计在控制环境中具有所需行为的设备和系统。控制学科相互重叠，并且通常在世界各地的许多机构中与电气工程和机械工程一起教授。

该实践使用传感器和探测器来测量被控制过程的输出性能；这些测量用于提供有助于实现所需性能的校正反馈。无需人工输入即可执行的系统称为自动控制系统（例如用于调节汽车速度的巡航控制）。本质上是多学科的，控制系统工程活动侧重于控制系统的实施，主要是通过对各种系统的数学建模得出的。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 20 lectures (5h 24m) | Size: 1.41 GB
MATLAB for Control Engineers

What you’ll learn:
Transfer Function Definition in MATLAB, Feedback Systems in MATLAB
Root Locus Analysis in MATLAB
Stability Analysis in MATLAB
Nyquis Criteria, Nyquis Plot in MATLAB

Requirements
Theoretical bakcground on control engineering is needed.
Basic knowwledge of MATLAB is required.

Description
In this course we teach how to use the MATLAB for control engineering topics. We basically teach the use of MATLAB for the following topics:

—- Polynomial Functions in MATLAB

—- Transfer Function Calculation Using MATLAB, State Space Modeling in MATLAB

—- Series and Parallel Connection of Control Systems in MATLAB

—- Impulse and Step Response of Control Systems in MATLAB

—- Second Order Control System Performance Parameters in MATLAB

—- Stability Analysis of Control Systems in MATLAB

—- Routh-Hurwitz Stability Check, Root Locus Analysis in MATLAB

—- Nyquist Analysis in MATLAB

—- Control System Application Tool in MATLAB

—- Control System Toolbox of MATLAB

—- More Topics are Added in Time (Pole Replacement, Controllability and Observability)

Control engineering or control systems engineering is an engineering discipline that deals with control systems, applying control theory to design equipment and systems with desired behaviors in control environments. The discipline of controls overlaps and is usually taught along with electrical engineering and mechanical engineering at many institutions around the world.

The practice uses sensors and detectors to measure the output performance of the process being controlled; these measurements are used to provide corrective feedback helping to achieve the desired performance. Systems designed to perform without requiring human input are called automatic control systems (such as cruise control for regulating the speed of a car). Multi-disciplinary in nature, control systems engineering activities focus on the implementation of control systems mainly derived by mathematical modeling of a diverse range of systems.

Who this course is for
For anyone interested in MATLAB applications for control engineering.