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• W2054381977 abstract "Based on cerebellar model articulation controller CMAC neural network and dynamic surface, a novel design scheme of adaptive backstepping and sliding controller for a class of hypersonic vehicle non-linear uncertain MIMO systems is proposed in this paper. Control law is designed by backstepping. At each step, the design of a sliding surface with a virtual zero-order controller is given. The robustness with the using of sliding mode control is to ensure the stability of each uncertain subsystem. Uncertain items of system and virtual derivative are online approached by employing CMAC neural network. A second-order filter is instead of virtual control input to avoid calculation expansion caused by multiple differentials. By Lyapunov stability analysis, the method can guarantee that the tracking errors of closed-loop system are finally convergence. Simulation results show that the control law designed can effectively suppress system uncertainties and the design method is feasible." @default.
• W2054381977 created "2016-06-24" @default.
• W2054381977 creator A5006199471 @default.
• W2054381977 creator A5026341885 @default.
• W2054381977 date "2013-01-01" @default.
• W2054381977 modified "2023-09-27" @default.
• W2054381977 title "Adaptive backstepping sliding model control of hypersonic vehicle based on CMAC and dynamic surface" @default.
• W2054381977 cites W191129334 @default.
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• W2054381977 doi "https://doi.org/10.1504/ijcat.2013.052796" @default.
• W2054381977 hasPublicationYear "2013" @default.
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