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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Veröffentlicht in:	International journal of robust and nonlinear control Jg. 31; H. 12; S. 5541 - 5562
Hauptverfasser:	Wang, Min, Huang, Longwang, Zhao, Zhijia, Yang, Chenguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 01.08.2021
Schlagworte:	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
Online-Zugang:	Volltext
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