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Abstract
In this paper, we propose a novel approach based on an unknown input method to synthesize the observer for a discrete time uncertain Takagi-Sugeno fuzzy system. The uncertainty bounds of the system can be unknown and the premise variables can be measurable or unmeasurable. Two main theorems are derived based on the noncommon quadratic Lyapunov function and feasible parameters are solved by the linear matrix inequality technique. Finally, a practical example is given to prove the effectiveness of the proposed method.
Original language | English |
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Pages (from-to) | 761-770 |
Number of pages | 10 |
Journal | IEEE Transactions on Fuzzy Systems |
Volume | 26 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2018 |
Keywords
- Discrete time uncertain Takagi-Sugeno (T-S) fuzzy system
- linear matrix inequalities (LMIs)
- observer synthesis
- unknown inputs
- unmeasurable premise variables
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Dive into the research topics of 'Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T-S Fuzzy System'. Together they form a unique fingerprint.Projects
- 1 Finished
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Control Design and Novel Applications for the SCARA Robot(3/3)
Tung, P.-C. (PI)
1/08/17 → 31/07/18
Project: Research