综一馆 5F
控制工程实验室
Control Engineering Lab
课程简介
自动控制实验
本课程为配合自动控制所开设之实验课程，其目的在于以实验来验证自动控制课程所学之理论，使同学认识控制在工业上的各种应用。
利用MATLAB/Simulink软件对于动态系统进行模拟分析并进行即时控制，由动手操作验证自动控制的基本理论。熟悉一阶系统时间响应行为、二阶系统时间响应特性、分析不同型态系统的稳态误差，学习PID控制器之设计，并应用于一阶系统及二阶系统的控制。
数码控制
本课程主要讲解数码控制系统理论基础、分析及设计方法，讨论离散时间和采样数据系统的系统建模和分析，对离散闭回路控制系统来进行分析与设计。
课程内容 :
- 离散时间系统与Z转换
- 取样与重建
- 开回路离散时间系统
- 闭回路系统
- 系统之时间响应特性
- 稳定性分析之技术
MATLAB在工程上的应用
学习Matlab软件之操作技巧以及程式撰写，加强程式写作技巧与观念，以及应用于工程上之数值计算问题。
课程内容 :
- Matlab软件介绍及基本操作技巧
- Matlab 基本运算 : 基础数值分析
- Matlab 常用数学函式及其语法
- 矩阵基本运算
- Matlab绘图
- 程式流程控制
- 代数方程式之求解
- 微积分之数值计算
- 微分方程式之求解
- Matlab之符号运算功能
- Matlab之进阶应用-数码影像处理应用
- Matlab之进阶应用-深度学习
嵌入式系统
本课程希望学生对对嵌入式系统和特定领域的相关知识有透彻的了解，涵盖嵌入式系统开发的理论和实务方面。 学生将熟习相关技能，并学习软件和硬件的集成以及系统设计、集成、验证和管理。
影像处理
本课程的为影像处理的基本理论。 例如：影像采样与量化、颜色、单点处理、分割、形态学处理、线性图像过滤与关联、特征提取和识别等方式。 学生通过在Matlab和Python中实作和学习图像处理算法的相关技巧。
Courses
Automatic Control Experiment
This course is an experimental course set up in conjunction with automatic control. Its purpose is to use experiments to verify the theories learned in the automatic control course, so that students can understand the various applications of control in industry.
Use MATLAB/Simulink software to simulate and analyze the dynamic system and carry out real-time control. The basic theory of automatic control is verified by hands-on operation. Familiar with the time response behavior of the first-order system, the time response characteristics of the second-order system, analyze the steady-state error of different types of systems, learn the design of the PID controller, and apply it to the control of the first-order system and the second-order system.
Digital Control
This course mainly explains the theoretical basis, analysis, and design methods of digital control systems, discusses the system modeling and analysis of discrete-time and sampled-data systems, and analyzes and designs discrete closed-loop control systems.
Course contents:
- Discrete-time system and Z-transform
- Sampling and reconstruction
- Open-loop discrete-time system
- Closed-loop system
- Time response characteristics of the system
- Technologies of stability analysis
MATLAB Application Courses in Engineering
Learn the operating skills and programming of Matlab software, strengthen programming skills and concepts, and apply numerical calculation problems in engineering.
Course contents:
- Introduction to Matlab software and basic operating skills
- Matlab basic operations: basic numerical analysis
- Matlab commonly used mathematical functions and their syntax
Embedded System
This course provides a thorough understanding of Embedded Systems and specialization in a specific area covering theoretical and practical aspects of embedded systems development. Students gain engineering skills and learn integration of software and hardware, system design, integration, verification, and management.
Application for Digital Image Processing
This course’s emphasis is on the general principles of image processing. Image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, feature extraction, and recognition tasks. Students learn to apply the material by implementing and investigating image processing algorithms in Matlab and Python.
