Name
Title | ||
|---|---|---|
Adaptive Discrete-Time Flight Control Using Disturbance Observer and Neural Networks. |
Abstract | ||
|---|---|---|
This paper studies the adaptive neural control (ANC)-based tracking problem for discrete-time nonlinear dynamics of an unmanned aerial vehicle subject to system uncertainties, bounded time-varying disturbances, and input saturation by using a discrete-time disturbance observer (DTDO). Based on the approximation approach of neural network, system uncertainties are tackled approximately. To restrain the negative effects of bounded disturbances, a nonlinear DTDO is designed. Then, a backstepping technique-based ANC strategy is proposed by utilizing a constructed auxiliary system and a discrete-time tracking differentiator. The boundness of all signals is proven in the closed-loop system under the discrete-time Lyapunov analysis. Finally, the feasibility of the proposed ANC technique is further specified based on numerical simulation results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TNNLS.2019.2893643 | IEEE transactions on neural networks and learning systems |
Keywords | Field | DocType |
MIMO communication,Uncertainty,Unmanned aerial vehicles,Force,Artificial neural networks,Aerodynamics,Disturbance observers | Lyapunov function,Backstepping,Nonlinear system,Pattern recognition,Control theory,Differentiator,Computer science,Artificial intelligence,Discrete time and continuous time,Observer (quantum physics),Artificial neural network,Bounded function | Journal |
Volume | Issue | ISSN |
30 | 12 | 2162-237X |
Citations | PageRank | References |
10 | 0.45 | 32 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuyi Shao | 1 | 56 | 4.12 |
| Mou Chen | 2 | 1251 | 59.31 |
| Youmin M. Zhang | 3 | 1267 | 128.81 |