Abstract
In this paper, a Lyapunov function based fuzzy logic controller (FLC) is proposed. The strategy is to automatically generate the decision rules of the FLC and provide a stable closed-loop system. The proposed scheme can be easily obtained by a set of control rules with a minimal amount of prior information about the plant. Furthermore, the fuzzy inference is introduced to stabilize the nonlinear of systems. Two nonlinear plants are used to illustrate the validity of the investigated schemes.
| Original language | English |
|---|---|
| Pages | 396-401 |
| Number of pages | 6 |
| Publication status | Published - 1996 Dec 1 |
| Event | Proceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 3 (of 3) - Taipei, Taiwan Duration: 1996 Aug 5 → 1996 Aug 10 |
Other
| Other | Proceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 3 (of 3) |
|---|---|
| City | Taipei, Taiwan |
| Period | 96-08-05 → 96-08-10 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
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Design of Lyapunov function based fuzzy logic controller. / Tsai, Chin Yin; Li, Tzuu Hseng S.
1996. 396-401 Paper presented at Proceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 3 (of 3), Taipei, Taiwan, .Research output: Contribution to conference › Paper
TY - CONF
T1 - Design of Lyapunov function based fuzzy logic controller
AU - Tsai, Chin Yin
AU - Li, Tzuu Hseng S.
PY - 1996/12/1
Y1 - 1996/12/1
N2 - In this paper, a Lyapunov function based fuzzy logic controller (FLC) is proposed. The strategy is to automatically generate the decision rules of the FLC and provide a stable closed-loop system. The proposed scheme can be easily obtained by a set of control rules with a minimal amount of prior information about the plant. Furthermore, the fuzzy inference is introduced to stabilize the nonlinear of systems. Two nonlinear plants are used to illustrate the validity of the investigated schemes.
AB - In this paper, a Lyapunov function based fuzzy logic controller (FLC) is proposed. The strategy is to automatically generate the decision rules of the FLC and provide a stable closed-loop system. The proposed scheme can be easily obtained by a set of control rules with a minimal amount of prior information about the plant. Furthermore, the fuzzy inference is introduced to stabilize the nonlinear of systems. Two nonlinear plants are used to illustrate the validity of the investigated schemes.
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UR - http://www.scopus.com/inward/citedby.url?scp=0030384639&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0030384639
SP - 396
EP - 401
ER -