Merge pull request #6 from Ethylene9160/main

PR: SDM359 and SDM366

README.md

@@ -5,6 +5,8 @@
 </h1>
 
 > SUSTech Automation unofficial page
+>
+> Official website of SDIM: [https://sdim.sustech.edu.cn/](https://sdim.sustech.edu.cn/)
 
 ![GitHub license](https://img.shields.io/github/license/squarezhong/SUSTech-Automation) ![GitHub stars](https://img.shields.io/github/stars/squarezhong/SUSTech-Automation?style=social)
 

courses/SDM359.md

@@ -4,21 +4,31 @@
 
 Not so advanced machine learning, but you can learn something different.
 
+This course covers the fundamentals of the three basic components of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The course introduces feedforward neural networks and the backpropagation algorithm, radial-basis function networks, recurrent neural networks, fuzzy relations and fuzzy logic inference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals, evolutionary computation and optimization, evolutionary learning, and collective intelligence.
+
+本课程介绍计算智能的三个主要组成部分：神经网络、模糊系统、演化计算。内容包括前馈神经网络以及反传算法、径向基神经网络、递归神经网络、模糊关系和模糊逻辑推理、模糊聚类与分类、模糊测度和积分、演化计算与优化、演化学习、群体智慧。
+
 ## Notes
 
-## Assignments
+刘德荣老师的个人[网站](derongliu.org)上提供了详细的课程笔记，期末复习佳品。
 
-To be continued... @Ethy
+lecture1-4：[https://derongliu.org/sdm359/lect1.pdf](https://derongliu.org/sdm359/lect1.pdf)，该部分涉及课程中的神经网络部分（回归、多层感知机等）。
 
-## Projects
+lecture5-11：[https://derongliu.org/sdm359/lect2.pdf](https://derongliu.org/sdm359/lect2.pdf)，该部分涉及课程中神经网络（递归神经网络、类脑神经网络）和模糊运算部分（模糊的基本概念等）。
 
-To be continued... @Ethy
+lecture12-15：[https://derongliu.org/sdm359/lect3.pdf)](https://derongliu.org/sdm359/lect3.pdf)，该部分涉及课程中模糊运算部分（模糊积分等）。
 
-## Exams
+lecture16-22：[https://derongliu.org/sdm359/lect4.pdf](https://derongliu.org/sdm359/lect4.pdf)，该部分涉及课程中演化计算部分。
 
-To be continued... @Ethy
+## Projects
+
+### 2024 Spring
+
+该学期有一个小project（也可能真是一次作业），即用演化计算解决[旅行商（TSP）问题](https://en.wikipedia.org/wiki/Travelling_salesman_problem)。题目其实很基础，因为是在黑板上直接出的放在这里不太雅观emmm，不过网上一搜一大把就是了。
 
 ## Books
 The book used in this course is written by the professor himself.
 
-- The fundamentals of computational intelligence system approach (JAMES M. KELLER, DERONG LIU, DAVID B. FOGEL)
+课程使用刘德荣老师的自编教材。
+
+- [The fundamentals of computational intelligence system approach (JAMES M. KELLER, DERONG LIU, DAVID B. FOGEL)](https://link.springer.com/book/10.1007/978-3-319-35162-9)

courses/SDM366.md

@@ -0,0 +1,29 @@
+# SDM366 Optimal Control and Estimation
+
+## Introduction
+
+This course will introduce the students to the fundamental concepts and methods in modern control, especially optimal control and estimation theory. Topics include state-space modelling of dynamical systems, least square estimation and system identification, state-feedback and output-feedback controller design, optimal control, dynamic programming, Model predictive control, linear quadratic regulators, and Kalman filter.
+The course will also connect these control and estimation methods to applications in robotics, mechanical, electrical, and aerospace systems.
+
+本课程将向学生介绍现代控制的基本概念和方法，特别是最优控制和估计理论。主题包括动态系统的状态空间建模、最小二乘估计和系统辨识、状态反馈和输出反馈控制器设计、最优控制、动态规划、模型预测控制、线性二次调节器和卡尔曼滤波器。
+本课程还将把这些控制和估计方法与机器人、机械、电气和航空航天系统的应用联系起来。
+
+## Lecture Notes
+
+## Lab
+
+* 2024 Spring
+
+2024春季学期的实验课，主要包含了RNN，Regressor，Path Planning，Dynamic Programming，LQR以及EKF卡尔曼滤波器。
+
+Project主要有三个，分别是：
+
+* project 1：**预测天气、使用最小二乘进行位置估计、机械手状态估计**
+
+* project 2：**LQR控制倒立摆**
+
+* Project 3：**二足机器人的状态估计、强化学习控制倒立摆、使用LQR控制一阶倒立摆**
+
+## Links
+
+* 2024 Spring, including the course codes, assignment codes, and projects: [Ethylene9160/SDM366_Optimal_Estimation: Assignments on cource SDM366Optimal Control and Estimation, sustech spring 2024. (github.com)](https://github.com/Ethylene9160/SDM366_Optimal_Estimation/)