Abstract
This article investigates the problem of prescribed-time tracking control for a class of self-switching systems subject to nonvanishing/nonparametric uncertainties and unknown control directions. Due to the existence of the unknown inherent nonlinear dynamics and the undetectable actuation faults, the resultant control gain of the system becomes unknown and time varying, making the control impact on the system uncertain and the prescribed-time control synthesis nontrivial. The underlying problem becomes further complex as the switching is arbitrary and unknown. To circumvent the aforementioned difficulties, the following major steps are employed. First, by integrating a novel time-varying feedback gain and performance function into the control synthesis, the nonvanishing uncertainties are completely rejected and the transient performance is guaranteed. Second, to facilitate the stability analysis under arbitrarily switching, the concept of the constraining function is introduced and incorporated into a skillfully chosen common Lyapunov function. Third, to deal with the uncertain control gain, a new Nussbaum-related lemma is derived. The proposed control is shown to be capable of ensuring that the tracking error not only evolves within the prescribed bound during all the operation time but also converges to zero at the rate of convergence that can be preassigned as fast as desired, in the presence of self-switching dynamics and unknown control directions. Both theoretical analysis and numerical simulation confirm the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 5918-5927 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Cybernetics |
| Volume | 53 |
| Issue number | 9 |
| Early online date | 10 Nov 2022 |
| DOIs | |
| Publication status | Published - Sept 2023 |
| Externally published | Yes |
Bibliographical note
This article was recommended by Associate Editor Q. M. J. Wu.Publisher Copyright:
© 2013 IEEE.
Funding
This work was supported in part by the National Natural Science Foundation of China under Grant 2021ZD0201300, Grant 61991400, Grant 61991403, Grant 62273064, Grant 62250710167, Grant 61860206008, Grant 61933012, and Grant 62203078; in part by the Innovation Support Program for International Students Returning to China under Grant cx2022016; and in part by the Chongqing Medical Scientific Research Project under Grant 2022DBXM001.
Keywords
- Nonvanishing uncertainties
- prescribed-time control
- self-switching systems
- unknown control directions
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