2018
DOI: 10.1007/s11071-018-4248-4
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Robust adaptive dynamic surface control for hypersonic vehicles

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Cited by 15 publications
(10 citation statements)
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“…Remark 5. Thanks to the formulation of a general class of second-order nonlinear system, the proposed control strategies can be easily adapted to control some practical system which can be written in the canonical state form (5) like guided missiles, 41,42 spacecraft system, 43,44 underwater vehicle, 45,46 hypersonic vehicle, 47,48 and so forth.…”
Section: Adaptive Global Time-varying Nonsingular Terminal Sliding Mo...mentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 5. Thanks to the formulation of a general class of second-order nonlinear system, the proposed control strategies can be easily adapted to control some practical system which can be written in the canonical state form (5) like guided missiles, 41,42 spacecraft system, 43,44 underwater vehicle, 45,46 hypersonic vehicle, 47,48 and so forth.…”
Section: Adaptive Global Time-varying Nonsingular Terminal Sliding Mo...mentioning
confidence: 99%
“…{sig}^{\beta}\left({e}_2\right) $$ and the control law is derived under the assumption of known upper bound of the lumped uncertainty. So, the case of unknown upper bound considered in this work constitutes the main contribution of this article. Remark Thanks to the formulation of a general class of second‐order nonlinear system, the proposed control strategies can be easily adapted to control some practical system which can be written in the canonical state form () like guided missiles, 41,42 spacecraft system, 43,44 underwater vehicle, 45,46 hypersonic vehicle, 47,48 and so forth.…”
Section: Global Time‐varying Nonsingular Terminal Sliding Mode (Gtv‐n...mentioning
confidence: 99%
“…He et al combine dynamic surface control and radial basis function neural network (RBFNN), and introduce robust components into the controller to offset the effects of composite disturbances to improve the robustness of the system. 4 Shen proposed a robust gain-scheduling controller, the non-linear models are transformed into linear fractional transformation (LFT) models, and a robust gain-scheduling controller is obtained. However, the transformation will produce modeling errors and affect the control precision.…”
Section: Introductionmentioning
confidence: 99%
“…It is well known that many advanced control strategies like adaptive control, sliding mode control and disturbance observer-based control have been applied to the robust flight control of NSV and that in return achieved good control performance (Du et al, 2011; Yang and Chen, 2016; Zhao et al, 2014). For instance, an adaptive dynamic surface control method was presented for near space hypersonic vehicles in the presence of external disturbance (He et al, 2018). In Zhang et al (2015), based on sliding mode control method and backstepping scheme, a robust control method was proposed for re-entry attitude tracking of NSV with parameter variations and external disturbances.…”
Section: Introductionmentioning
confidence: 99%