| Type of Document |
Dissertation |
| Author |
Liu, Nike
|
| Author's Email Address |
nliu1@lsu.edu, nickliu79@gmail.com |
| URN |
etd-04022008-155152 |
| Title |
Optimal Robust Fault Detection |
| Degree |
Doctor of Philosophy (Ph.D.) |
| Department |
Electrical & Computer Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Zhou, Kemin |
Committee Chair |
| Aravena, Jorge L |
Committee Member |
| Gu, Guoxiang |
Committee Member |
| Wolenski, Peter Robert |
Committee Member |
| Lee, Hwang |
Dean's Representative |
|
| Keywords |
- robustness
- fault detection
- H_ index
- multi-objective optimization
|
| Date of Defense |
2008-03-11 |
| Availability |
unrestricted |
Abstract
This dissertation gives complete, analytic, and optimal solutions to several robust fault detection problems for both continuous and discrete linear systems that have been considered in the research community in the last twenty years. It is shown that several well-recognized robust fault detection problems, such as H_minus\H_2, H_2\ H_infinity and H_infinity\H_infinity problems, have a very simple optimal solution in an observer form by solving a standard algebraic Riccati equation. The optimal solutions to some other robust fault detection problems, such as H_minus\H_2 and H_2\H_2 problems are also given. In addition, it is shown that some well-studied and seeming sensible optimization criteria for fault detection filter design could lead to (optimal but) useless fault detection filter designs.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
| |
Dissertation.pdf |
841.69 Kb |
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00:02:00 |
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