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Main | Publication | Student | Photo | Link |
Name
|
hours
|
Date
|
Digital Control | 60 | 01/97--04/97 |
Adaptive Control |
60 | 09/97--12/97, 01/99--04/99 |
Visual Servoing | 30 | 01/00--04/00 |
System Identification | 60 |
05/97--08/97, 05/98--08/98, 05/99--08/99, 05/00--08/00, 05/01--08/01 |
Stability Analysis of Neural Networks | 60 | 01/01--04/01, 01/02--04/02 |
Petri Net for hybrid system | 30 | 09/01--12/01 |
Identification: C1,C2,C3,C4,C5,C6,C7,C8,C9,C10,C11,C12,C13,C14,C15,C16,C17
System Identification and Adaptive Control via Neural Networks (IMP)
1. Neural networks for control:
structure of neural networks, User's
Guid of Neural Networks Toolbox
2. System identification via discrete-time NN: Backpropagation,
stable learning
3. System identification via countinuous-time NN: dynamic
neural networks, stable
learning, multilayer
4. Neuro observer: sliding mode,neuro
observer
5. Adaptive control via neural networks
6. Neural networks and fuzzy logic: fuzzy neural networks
8. Neural networks and Petri net: hybrid system modeling and control
9. Application of neuro control (1): mechanic robot, visual servoing
10. Application of neuro control (2): chemical system, chaos
Ref1: M.T.Hagan, H.B.Demuth, Neural Network Design, PWS Publishing Company, Boston,1995
Ref2: S.Haykin, Neural Networks-A Comprehensive Foundation, Macmillan College Publ. Co., New York, 1994.
References of "Neural networks for Optimization".