Observer‐based adaptive neural output‐feedback event‐triggered control for discrete‐time nonlinear systems using variable substitution

In this paper, an event‐triggered adaptive neural output feedback control scheme is developed for a class of uncertain discrete‐time strict‐feedback nonlinear systems subject to immeasurable system states and network resource limitation. An i‐step ahead predictor is synthesized to obtain the future...

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Vydané v:	International journal of robust and nonlinear control Ročník 31; číslo 12; s. 5541 - 5562
Hlavní autori:	Wang, Min, Huang, Longwang, Zhao, Zhijia, Yang, Chenguang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bognor Regis Wiley Subscription Services, Inc 01.08.2021
Predmet:	Adaptive control adaptive neural control Controllers discrete‐time nonlinear systems Event triggered control Feedback control mismatched nonlinear uncertainties neural observer Nonlinear systems Output feedback Robot arms Stability analysis State estimation Substitutes System dynamics
ISSN:	1049-8923, 1099-1239
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