Name
Title | ||
|---|---|---|
Asymptotically Stable Fault Tolerant Control for Nonlinear Systems Through Differential Game Theory |
Abstract | ||
|---|---|---|
This paper investigates an asymptotically stable fault tolerant control (FTC) method for nonlinear continuous-time systems (NCTS) with actuator failures via differential game theory (DGT). Based on DGT, the FTC problem can be regarded as a two-player differential game problem with control player and fault player, which is solved by utilizing adaptive dynamic programming technique. Using a critic-only neural network, the cost function is approximated to obtain the solution of the Hamilton-Jacobi-Isaacs equation (HJIE). Then, the FTC strategy can be obtained based on the saddle point of HJIE, and ensures the satisfactory control performance for NCTS. Furthermore, the closed-loop NCTS can be guaranteed to be asymptotically stable, rather than ultimately uniformly bounded in corresponding existing methods. Finally, a simulation example is provided to verify the safe and reliable fault tolerance performance of the designed control method. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CIS54983.2021.00062 | 2021 17th International Conference on Computational Intelligence and Security (CIS) |
Keywords | DocType | ISBN |
Adaptive dynamic programming,fault tolerant control,neural networks,differential game,asymptotically stable | Conference | 978-1-6654-9490-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongbing Xia | 1 | 0 | 0.34 |
| Jinzhou Bao | 2 | 0 | 0.34 |
| Ping Guo | 3 | 601 | 85.05 |