Estimation of Domain of Attraction for Discrete-Time Positive Interval Type-2 Polynomial Fuzzy Systems With Input Saturation
نویسندگان
چکیده
This article focuses on expanding the estimation of domain attraction (DOA) for discrete-time positive nonlinear systems subject to input saturation and parameter uncertainties. To facilitate analysis design, interval type-2 (IT2) polynomial fuzzy model is used represent plant capture Combining with IT2 controller, fuzzy-model-based (PIT2PFMB) control system formed analysis. enlarge DOA PIT2PFMB system, polyhedron characterize help linear copositive Lyapunov function (LCLF). Referring nonconvex conditions derived by LCLF, an effective convexification method proposed in this article. For comparison purposes, saturation-dependent-Lyapunov-function-based extended adding corresponding positivity conditions. In addition, attempts improving membership-function-dependent (IT2MFD) extending it all conditions, including stability Finally, example simulation results given verify effectiveness methods DOA.
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ژورنال
عنوان ژورنال: IEEE Transactions on Fuzzy Systems
سال: 2022
ISSN: ['1063-6706', '1941-0034']
DOI: https://doi.org/10.1109/tfuzz.2020.3039676