For asymmetric angle of attack(AOA)constraints and short response time,in this paper,an adaptive fast robust method is proposed to control altitude and velocity of the hypersonic flight vehicle(HFV)with parameter pert...For asymmetric angle of attack(AOA)constraints and short response time,in this paper,an adaptive fast robust method is proposed to control altitude and velocity of the hypersonic flight vehicle(HFV)with parameter perturbations and external disturbances.First,considering the backstepping method,an affine nonlinear model is established.Then,to identify the uncertainties,back-propagation neural networks and their adaptive laws are introduced.To avoid drastic actions of the HFV,an instruction filter is used and its effects are compensated using adaptive high-gain components.The tracking of flight velocity and AOA is achieved fast based on prescribed performance control.Furthermore,the closed-loop system stability and constrained AOA are guaranteed via AOA instruction saturation,asymmetric performance functions and the full-state time-varying barrier Lyapunov function.Finally,the simulation shows that the methodology can guarantee precise tracking of HFV’s altitude and velocity under asymmetric AOA constraints and uncertainties.展开更多
The paper forwards a new model describing liquidity risk basing on trading data during one day, and applies it to the experimental analysis of Chinese stock market.
文摘For asymmetric angle of attack(AOA)constraints and short response time,in this paper,an adaptive fast robust method is proposed to control altitude and velocity of the hypersonic flight vehicle(HFV)with parameter perturbations and external disturbances.First,considering the backstepping method,an affine nonlinear model is established.Then,to identify the uncertainties,back-propagation neural networks and their adaptive laws are introduced.To avoid drastic actions of the HFV,an instruction filter is used and its effects are compensated using adaptive high-gain components.The tracking of flight velocity and AOA is achieved fast based on prescribed performance control.Furthermore,the closed-loop system stability and constrained AOA are guaranteed via AOA instruction saturation,asymmetric performance functions and the full-state time-varying barrier Lyapunov function.Finally,the simulation shows that the methodology can guarantee precise tracking of HFV’s altitude and velocity under asymmetric AOA constraints and uncertainties.
文摘The paper forwards a new model describing liquidity risk basing on trading data during one day, and applies it to the experimental analysis of Chinese stock market.
