Name
Title | ||
|---|---|---|
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
Abstract | ||
|---|---|---|
This study proposes a Disturbance-improved Model-free Adaptive Prediction Control (DMFAPC) algorithm for a discrete-time nonlinear system with time delay and disturbance. The algorithm is shown to have good robustness. On the one hand, the Smith predictor is used to predict the output at a future time to eliminate the time delay in the system; on the other hand, an attenuation factor is introduced at the input to effectively eliminate the measurement disturbance. The proposed algorithm is a data-driven control algorithm that does not require the model information of the controlled system; it only requires the input and output data. The convergence of the DMFAPC is analyzed. Simulation results confirm the effectiveness of this algorithm. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/sym13112128 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
model-free adaptive prediction control, time-delay system, data-driven, tracking differentiator, robustness | Journal | 13 |
Issue | Citations | PageRank |
11 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Honghai Ji | 1 | 0 | 1.01 |
| Yuzhou Wei | 2 | 0 | 0.68 |
| Lingling Fan | 3 | 0 | 0.34 |
| Shida Liu | 4 | 0 | 0.68 |
| Yulin Wang | 5 | 0 | 0.34 |
| Li Wang | 6 | 11 | 3.06 |