Abstract
Due to the difficulty in handling the issue of nondifferentiable virtual control signals, there is still no available result considering output triggering and sensor faults simultaneously for nonlinear systems subject to mismatched parameteric uncertainties via backstepping design, even though the underlying problem is practically important and frequently encountered. In this article, to deal with this challenging problem, several crucial design ideas are proposed in developing the control scheme. First, to generate the continuous substitutes for the states, which are necessary in differentiating the virtual control signals in the backstepping design, we construct a state observer driven by intermittent and faulty output arising from output triggering and sensor faults. Second, to ensure the existence of the first derivative of the virtual control signal, we use the estimated output signal to design the virtual control signals. Third, to avoid the repeated differentiations of virtual control signals in backstepping design, we employ the idea of dynamic filtering technique. It is shown that all signals in the resulting closed-loop system are semiglobally uniformly ultimately bounded. Simulation examples are given to demonstrate the effectiveness of the proposed control strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 8142-8149 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 68 |
| Issue number | 12 |
| Early online date | 20 Jun 2023 |
| DOIs | |
| Publication status | Published - Dec 2023 |
| Externally published | Yes |
Bibliographical note
Recommended by Associate Editor Z. Kan.Publisher Copyright:
© 1963-2012 IEEE.
Funding
This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB4701400/4701401 and in part by the National Natural Science Foundation of China under Grant 61991400, Grant 61991403, Grant 62250710167, Grant 61860206008, Grant 61933012, and Grant 62273064.
Keywords
- Adaptive control
- backstepping
- event-triggered control
- sensor faults
- uncertain nonlinear systems