- Lecturer
- Kurabayashi Daisuke
- Place
- Mon3-4
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 40031
- Syllabus updated
- 2005/5/10
- Lecture notes updated
- 2005/5/10
- Access Index
-
- 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.
Purpose of lecture
This lecture is composed of two parts. Part I deals with adaptive identifiers and controllers. Part II illustrates some soft-computing techniques.
Plan of lecture
Part I: Adaptive control
- Overview of adaptive systems
- Fixed control and adaptive system
- Differentiate operators and shift operators
- Non-minimal realization
- Stochastic identifier
- Deterministic identifier
- Model reference adaptive control system
- Self- tuning regulator
Part II: Soft computing
- Fuzzy control
- Neural networks
- Self-organizing maps
- Genetic algorithm
