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• W2897331486 abstract "In practice, the measurement noise arising from actual state measurement deteriorates the system performance significantly. To alleviate the noise effect on the hypersonic vehicle’s pitch angle and pitch rate channels (i.e. attitude subsystem), this paper designs the fuzzy approximation based adaptive controller. Based on the desired compensation technique, a novel adaptive update law is proposed in the fuzzy approximator, in which the desired values are used to replace the actual states. Hence, the corresponding fuzzy approximator is able to estimate the unknown nonlinearity in the system even when measurement noises exist. In addition, the matching error of the fuzzy approximation and residual uncertainties are handled through an additional robust control term in the control law. Stability analysis is conducted by employing the Lyapunov method. Finally, nominal and comparative simulation results show that the control strategies proposed in this paper can guarantee the bounded tracking performance with consideration of the measurement noise and uncertainty." @default.
• W2897331486 created "2018-10-26" @default.
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• W2897331486 date "2018-07-01" @default.
• W2897331486 modified "2023-09-23" @default.
• W2897331486 title "Desired Compensation Based Adaptive Fuzzy Control for Hypersonic Vehicle with Measurement Noises" @default.
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• W2897331486 doi "https://doi.org/10.1109/fuzz-ieee.2018.8491690" @default.
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