Abstract
This paper discusses the decentralized fuzzy control technique for the stochastic stability of nonlinear interconnected systems with missing measurements. We develop the fuzzy subsystem of the interconnected system by using the Takagi-Sugetno (T-S) fuzzy model and design the decentralized fuzzy controller for stochastic stability. To guarantee the suffi-cient condition of stability, we use Lyapunov stability theorem. Its constructive condition is expressed as the linear matrix inequality (LMI). An example is given to show the verification discussed throughout the paper.
| Original language | English |
|---|---|
| Title of host publication | 2009 IEEE International Conference on Fuzzy Systems - Proceedings |
| Pages | 240-244 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2009 Dec 10 |
| Event | 2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of Duration: 2009 Aug 20 → 2009 Aug 24 |
Other
| Other | 2009 IEEE International Conference on Fuzzy Systems |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 09/8/20 → 09/8/24 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics
Cite this
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Decentralized fuzzy controller for nonlinear interconnected systems with missing measurements. / Geun, Bum Koo; Park, Jin Bae; Young, Hoon Joo; Se, Jin Kim.
2009 IEEE International Conference on Fuzzy Systems - Proceedings. 2009. p. 240-244 5277413.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Decentralized fuzzy controller for nonlinear interconnected systems with missing measurements
AU - Geun, Bum Koo
AU - Park, Jin Bae
AU - Young, Hoon Joo
AU - Se, Jin Kim
PY - 2009/12/10
Y1 - 2009/12/10
N2 - This paper discusses the decentralized fuzzy control technique for the stochastic stability of nonlinear interconnected systems with missing measurements. We develop the fuzzy subsystem of the interconnected system by using the Takagi-Sugetno (T-S) fuzzy model and design the decentralized fuzzy controller for stochastic stability. To guarantee the suffi-cient condition of stability, we use Lyapunov stability theorem. Its constructive condition is expressed as the linear matrix inequality (LMI). An example is given to show the verification discussed throughout the paper.
AB - This paper discusses the decentralized fuzzy control technique for the stochastic stability of nonlinear interconnected systems with missing measurements. We develop the fuzzy subsystem of the interconnected system by using the Takagi-Sugetno (T-S) fuzzy model and design the decentralized fuzzy controller for stochastic stability. To guarantee the suffi-cient condition of stability, we use Lyapunov stability theorem. Its constructive condition is expressed as the linear matrix inequality (LMI). An example is given to show the verification discussed throughout the paper.
UR - http://www.scopus.com/inward/record.url?scp=71249113258&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71249113258&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2009.5277413
DO - 10.1109/FUZZY.2009.5277413
M3 - Conference contribution
SN - 9781424435975
SP - 240
EP - 244
BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings
ER -