Open Access. Powered by Scholars. Published by Universities.®
- Institution
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Discrete-Time Hypersonic Flight Control Based On Extreme Learning Machine, Bin Xu
Discrete-Time Hypersonic Flight Control Based On Extreme Learning Machine, Bin Xu
Bin Xu
This paper describes the neural controller design for the longitudinal dynamics of a generic hypersonic flight vehicle (HFV). The dynamics are transformed into the strict-feedback form. Considering the uncertainty, the neural controller is constructed based on the single-hidden layer feedforward network (SLFN). The hidden node parameters are modified using extreme learning machine (ELM) by assigning random values. Instead of using online sequential learning algorithm (OSLA), the output weight is updated based on the Lyapunov synthesis approach to guarantee the stability of closed-loop system. By estimating the bound of output weight vector, a novel back-stepping design is presented where less online …
Reinforcement Learning Output Feedback Nn Control Using Deterministic Learning Technique, Bin Xu
Reinforcement Learning Output Feedback Nn Control Using Deterministic Learning Technique, Bin Xu
Bin Xu
In this brief, a novel adaptive-critic-based neural network (NN) controller is investigated for nonlinear pure-feedback systems. The controller design is based on the transformed predictor form, and the actor–critic NN control architecture includes two NNs, whereas the critic NN is used to approximate the strategic utility function, and the action NN is employed to minimize both the strategic utility function and the tracking error. A deterministic learning technique has been employed to guarantee that the partial persistent excitation condition of internal states is satisfied during tracking control to a periodic reference orbit. The uniformly ultimate boundedness of closed-loop signals is …