课程简介
The rise and in-depth research of artificial intelligence make the control theory develop towards simulating all kinds of intelligence. At the same time, the automatic control of unmanned systems and intelligent products make the intelligent control technology develop continuously. This course is a professional backbone / direction course for majors of automation, computer, instrument, as well as other related disciplines. It is taught in English. The main teaching forms include discussion and case study. Combined with the latest research results, listeners can have the ability of cross-cultural communication and solving complex engineering problems.
课程大纲
1 Introduction
1.1 What is Artifical Intelligence
1.2 Definition & Development of Intelligent Control
1.3 Structural Theories of Intelligent Control
1.4 Several Significant Branches of Intelligent Control
2 Expert Control
2.1 Expert Systems
2.2 What is Expert Control
2.3 Structures of Expert Control Systems
2.4 Types of Expert Control Systems
2.5 Expert PID Controller
3 Fuzzy Control
3.1 Fuzzy Sets & Their Operations
3.2 Mathematical Foundation for Fuzzy Control
3.3 Stuctures of Fuzzy Controllers
3.4 Design of Fuzzy Controller
3.5 Sugeno (TSK) Fuzzy Controller
4 Neural Network Based Control
4.1 Artificial Neural Networks vs. Control
4.2 Structures of Neural Networks
4.3 Typical Models of Neural Network
4.4 Deep Learning
4.5 Structural Schemes of Neural Network Based Control
5 Learning Control
5.1 Introduction to Learning Control
5.2 Review of Machine Learning
5.3 Schemes of Learning Control
6 Intelligent Optimization Methods
6.1 Intelligent Optimization with Applications in Control
6.2 Genetic Algorithm
6.3 Optimization Based on Swarm Intelligence
7 Applications
7.1 Expert Control of Single Circuit Pulp Consistency
7.2 An fuzzy-PID hybrid control system to petrochemical plant
7.3 Control of Robotic System Using Feedforward-Feedback Neural Networks
7.4 Predictive Control of Freeway Traffic Based on Genetic Algorithm and Neural Network
Final exam期末考试
1.1 What is Artifical Intelligence
1.2 Definition & Development of Intelligent Control
1.3 Structural Theories of Intelligent Control
1.4 Several Significant Branches of Intelligent Control
2 Expert Control
2.1 Expert Systems
2.2 What is Expert Control
2.3 Structures of Expert Control Systems
2.4 Types of Expert Control Systems
2.5 Expert PID Controller
3 Fuzzy Control
3.1 Fuzzy Sets & Their Operations
3.2 Mathematical Foundation for Fuzzy Control
3.3 Stuctures of Fuzzy Controllers
3.4 Design of Fuzzy Controller
3.5 Sugeno (TSK) Fuzzy Controller
4 Neural Network Based Control
4.1 Artificial Neural Networks vs. Control
4.2 Structures of Neural Networks
4.3 Typical Models of Neural Network
4.4 Deep Learning
4.5 Structural Schemes of Neural Network Based Control
5 Learning Control
5.1 Introduction to Learning Control
5.2 Review of Machine Learning
5.3 Schemes of Learning Control
6 Intelligent Optimization Methods
6.1 Intelligent Optimization with Applications in Control
6.2 Genetic Algorithm
6.3 Optimization Based on Swarm Intelligence
7 Applications
7.1 Expert Control of Single Circuit Pulp Consistency
7.2 An fuzzy-PID hybrid control system to petrochemical plant
7.3 Control of Robotic System Using Feedforward-Feedback Neural Networks
7.4 Predictive Control of Freeway Traffic Based on Genetic Algorithm and Neural Network
Final exam期末考试
