Journal
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume 41, Issue 3, Pages 713-724Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2010.2086443
Keywords
Fuzzy control; linear matrix inequality (LMI); membership-function-shape-dependent stability conditions; Takagi-Sugeno (T-S) fuzzy model
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Funding
- King's College London
- Engineering and Physical Sciences Research Council [EP/E05627X/1]
- Modernisation Initiative with St Thomas' Hospitals' Charity
- EPSRC [EP/E05627X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/E05627X/1] Funding Source: researchfish
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Relaxed linear-matrix-inequality-based stability conditions for fuzzy-model-based control systems with imperfect premise matching are proposed. First, the derivative of the Lyapunov function, containing the product terms of the fuzzy model and fuzzy controller membership functions, is derived. Then, in the partitioned operating domain of the membership functions, the relations between the state variables and the mentioned product terms are represented by approximated polynomials in each subregion. Next, the stability conditions containing the information of all subsystems and the approximated polynomials are derived. In addition, the concept of the S-procedure is utilized to release the conservativeness caused by considering the whole operating region for approximated polynomials. It is shown that the well-known stability conditions can be special cases of the proposed stability conditions. Simulation examples are given to illustrate the validity of the proposed approach.
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