scholarly journals Adaptive dynamic programing design for the neural control of hypersonic flight vehicles

2021 ◽  
Vol 358 (16) ◽  
pp. 8169-8192
Author(s):  
Qiang Qi ◽  
Xiangwei Bu
Keyword(s):  
Neural Control ◽  
Adaptive Dynamic ◽  
Hypersonic Flight ◽  
Flight Vehicles ◽  
Dynamic Programing

scholarly journals Fixed-Time Neural Control for Hypersonic Flight Vehicles with Asymmetric Time-Varying Constraints

2021 ◽  
Vol 1966 (1) ◽  
pp. 012050
Author(s):  
Zehong Dong ◽  
Yinghui Li ◽  
Haojun Xu ◽  
Zhe Li ◽  
Binbin Pei ◽  
...  
Keyword(s):  
Neural Control ◽  
Fixed Time ◽  
Time Varying ◽  
Hypersonic Flight ◽  
Flight Vehicles

scholarly journals Neural Network-Based Adaptive Backstepping Control for Hypersonic Flight Vehicles with Prescribed Tracking Performance

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhu Guoqiang ◽  
Liu Jinkun
Keyword(s):  
Neural Control ◽  
Closed Loop ◽  
Tracking Error ◽  
Closed Loop System ◽  
Adaptive Backstepping ◽  
Adaptive Neural Control ◽  
Hypersonic Flight ◽  
Flight Vehicles ◽  
Control Scheme ◽  
Constraint Variable

An adaptive neural control scheme is proposed for a class of generic hypersonic flight vehicles. The main advantages of the proposed scheme include the following: (1) a new constraint variable is defined to generate the virtual control that forces the tracking error to fall within prescribed boundaries; (2) RBF NNs are employed to compensate for complex and uncertain terms to solve the problem of controller complexity; (3) only one parameter needs to be updated online at each design step, which significantly reduces the computational burden. It is proved that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results are presented to illustrate the effectiveness of the proposed scheme.

Direct neural control of hypersonic flight vehicles with prediction model in discrete time

2013 ◽  
Vol 115 ◽  
pp. 39-48 ◽  
Author(s):  
Bin Xu ◽  
Danwei Wang ◽  
Fuchun Sun ◽  
Zhongke Shi
Keyword(s):  
Prediction Model ◽  
Discrete Time ◽  
Neural Control ◽  
Hypersonic Flight ◽  
Flight Vehicles

scholarly journals Disturbance observer-based control for nonlinear systems subject to mismatched disturbances with application to hypersonic flight vehicles

2017 ◽  
Vol 14 (2) ◽  
pp. 172988141769914 ◽  
Author(s):  
Yunling Li ◽  
Ming Zeng ◽  
Hao An ◽  
Changhong Wang
Keyword(s):  
Nonlinear Systems ◽  
Disturbance Observer ◽  
State Of The Art ◽  
Output Channel ◽  
Tracking Problem ◽  
Gain Matrix ◽  
Hypersonic Flight ◽  
Flight Vehicles ◽  
Nominal Performance ◽  
Mismatched Disturbances

For a class of multi-input multi-output nonlinear systems, a disturbance observer-based control is proposed to solve the tracking problem in the presence of mismatched disturbances. By designing a novel compensation gain matrix, the disturbances can be removed from the output channel completely as well as retaining the nominal performance. Compared with the state of the art, the gain matrix reduces to be constant; therefore, the complexity of the controller is simplified greatly. This method is applied to the control of hypersonic flight vehicles to demonstrate its effectiveness.

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