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Intelligent Control
( Kurabayashi Daisuke  )

Mon 3-4Session

Credits  Lecture:2  Practice:0  Experiment:0 / code:40031
Update : 2005/5/10
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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

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