- Lecturer
- Kurabayashi Daisuke
- Place
- Mon3-4(I311)
- Credits
- Lecture1 Exercise0 Experiment0
- Code
- 40031
- Syllabus updated
- 2014/3/18
- Lecture notes updated
- 2014/3/18
- Semester
- Spring Semester
Outline of lecture
This lecture aims to teach fundamentals of intelligent control techniques. The talks include adaptive control systems, fuzzy control, artificial neural nets, and other soft-computing techniques. *Notice: this lecture will be held for 1st half of the summer semester.
Purpose of lecture
Starting from the fixed control system, we proceed to know adaptive or flexible systems.
Plan of lecture
1. Introduction: fixed control and adaptive system
2. Basis of adaptive control systems
3. Artificial Neural Systems
4. Reinforcement Learning Systems
5. Fuzzy systems
6. Genetic algorithm
7. Intelligence of living creatures
Textbook and reference
Will be suggested in the lectures.
Related and/or prerequisite courses
None.
Evaluation
Achievements will be decided by reports.
Comments from lecturer
Overview so-called intelligent control including soft conputing. I will introduce you some trials to understand intelligence or adaptability of living creatures.
Supplement
*Notice: this lecture will be held for 1st half of the summer semester.
