Low-cost adaptive fuzzy neural prescribed performance control of strict-feedback systems considering full-state and input constraints
A low-cost adaptive neural prescribed performance control (LAFN-PPC) scheme of strict-feedback systems considering asymmetric full-state and input constraints is developed in this paper. In the controller design procedure, one-to-one nonlinear transformation technique is employed to handle the full-...
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Published in | AIMS mathematics Vol. 7; no. 5; pp. 8263 - 8289 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
AIMS Press
01.01.2022
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Subjects | |
Online Access | Get full text |
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