In:
Mathematical Problems in Engineering, Hindawi Limited, Vol. 2017 ( 2017), p. 1-10
Abstract:
A neural network robust control is proposed for a class of generic hypersonic flight vehicles with uncertain dynamics and stochastic disturbance. Compared with the present schemes of dealing with dynamic uncertainties and stochastic disturbance, the outstanding feature of the proposed scheme is that only one parameter needs to be estimated at each design step, so that the computational burden can be greatly reduced and the designed controller is much simpler. Moreover, by introducing a performance function in controller design, the prespecified transient and performance of tracking error can be guaranteed. It is proved that all signals of closed-loop system are uniformly ultimately bounded. The simulation results are carried out to illustrate effectiveness of the proposed control algorithm.
Type of Medium:
Online Resource
ISSN:
1024-123X
,
1563-5147
DOI:
10.1155/2017/7864375
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2017
detail.hit.zdb_id:
2014442-8
SSG:
11
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