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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Bibliographic Details
Published inAIMS mathematics Vol. 7; no. 5; pp. 8263 - 8289
Main Authors Song, Yankui, Ge, Bingzao, Xia, Yu, Chen, Shouan, Wang, Cheng, Zhou, Cong
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2022
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