Abstract | ||
---|---|---|
In this paper, an adaptive fault-tolerant control (FTC) strategy is proposed for a class of high-order fully-actuated (HOFA) systems. A pre-closed-loop treatment is presented to simplify the observer design for the nonlinear system with actuator faults but it leads to a new problem that faults may not satisfy the observation matching conditions. Thus, an intermediate variable observer is introduced to adaptively estimate system states and actuator faults simultaneously. Then the influence of observation errors on system stability is analyzed by analyzing matrix singular value perturbation. Under the proposed adaptive FTC method, the closed-loop global uniformly ultimately bounded stability is achieved by Lyapunov synthesis. Finally, the effectiveness of the proposed FTC method is verified by simulations. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1016/j.neucom.2022.04.129 | Neurocomputing |
Keywords | DocType | Volume |
Adaptive control,Fault-tolerant control,Nonlinear systems,Fully-actuated systems | Journal | 495 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xueqing Liu | 1 | 0 | 0.34 |
Maoyin Chen | 2 | 241 | 28.51 |
Li Sheng | 3 | 125 | 15.24 |
Dong-Hua Zhou | 4 | 1833 | 129.73 |