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- W4320008889 abstract "This article addresses the tracking control problem of nonlinear pure-feedback systems, where the control coefficients and the dynamics of the references are unknown. Fuzzy-logic systems (FLSs) are used to approximate the unknown control coefficients and at the same time the adaptive projection law is designed to allow each fuzzy approximation to cross zero, which yields that the proposed method avoids the assumption of using Nussbaum function, that is, the unknown control coefficients never cross zeros. Another adaptive law is designed to estimate the unknown reference and then it is intergraded into the saturated tracking control law to achieve the uniformly ultimately bounded (UUB) performance of the resulting closed-loop system. Simulations show the feasibility and effectiveness of the proposed scheme." @default.
- W4320008889 created "2023-02-11" @default.
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- W4320008889 date "2023-01-01" @default.
- W4320008889 modified "2023-09-23" @default.
- W4320008889 title "Adaptive Projection and Fuzzy Tracking Design for Unknown Control Coefficients and References" @default.
- W4320008889 doi "https://doi.org/10.1109/tcyb.2023.3234320" @default.
- W4320008889 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37022030" @default.
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