In:
Measurement and Control, SAGE Publications, Vol. 54, No. 5-6 ( 2021-05), p. 790-798
Kurzfassung:
The control of nonlinear dynamics is gaining increasing attention since many practical systems are with such kind of characteristics. To deal with the system uncertainty, in this paper, the efficient learning control using neural network is proposed for the nonlinear strict-feedback system. The whole scheme is with the back-stepping design, while the novel learning is proposed for the neural network weights update. To deal with the approximation error, the robust item is added. The stability of the closed-loop dynamics is analysed and the effectiveness of the design is verified through flight simulation.
Materialart:
Online-Ressource
ISSN:
0020-2940
DOI:
10.1177/0020294020919904
Sprache:
Englisch
Verlag:
SAGE Publications
Publikationsdatum:
2021
ZDB Id:
2712343-1
SSG:
3,2
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