Abstract
The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.
| Original language | English |
|---|---|
| Pages | 1620-1625 |
| Number of pages | 6 |
| Publication status | Published - 1994 Dec 1 |
| Event | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: 1994 Jun 26 → 1994 Jun 29 |
Other
| Other | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) |
|---|---|
| City | Orlando, FL, USA |
| Period | 94-06-26 → 94-06-29 |
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All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics
Cite this
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Fuzzy sliding mode control of nonlinear system. / Ting, Chen Sheng; Li, Tzuu-Hseng S.; Kung, Fan Chu.
1994. 1620-1625 Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .Research output: Contribution to conference › Paper
TY - CONF
T1 - Fuzzy sliding mode control of nonlinear system
AU - Ting, Chen Sheng
AU - Li, Tzuu-Hseng S.
AU - Kung, Fan Chu
PY - 1994/12/1
Y1 - 1994/12/1
N2 - The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.
AB - The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.
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M3 - Paper
AN - SCOPUS:0028739975
SP - 1620
EP - 1625
ER -