Decentralized Adaptive Quantized Dynamic Surface Control for a Class of Flexible Hypersonic Flight Vehicles with Input Quantization

A control strategy for a certain class of hypersonic flight aircraft dynamic models with unknown parameters is proposed in this article. The adaptive surface input quantization control. To address the issues conventional inversion control, first-order low-pass filter and an parameter minimum learning law are introduced system design process. This method has following features: (1) it solves problem repeated differentiation virtual back-stepping method, greatly simplifying structure; (2) by using norm neural network weight vector as adjustment instead updating each element online, number significantly reduced, improving execution efficiency controller; (3) hysteresis quantizer overcomes disadvantage accuracy deterioration when value too low logarithm quantizer, quantizer. Stability analysis shown that all signals closed-loop semi-globally uniformly bounded, simulation results have verified effectiveness quantized scheme.