Abstract
Prescribed-time (PT) control for nonlinear systems, originated from Song et al., has gained increasing attention among the control community. The salient feature of PT control lies in its ability to achieve system stability within a finite settling time user-assignable in advance irrespective of initial conditions. It is such a unique feature that has enticed many follow-up studies on this technically important area, motivating numerous research advancements. In this article, we provide a comprehensive survey on the recent developments in PT control. Through a concise introduction to the concept of PT control, and a unique taxonomy covering: 1) from robust PT control to adaptive PT control; 2) from PT control for single-input-single-output (SISO) systems to multi-input-multioutput (MIMO) systems; and 3) from PT control for an isolated system to multiagent systems, we present an accessible review of this interesting topic. We highlight key techniques, and fundamental assumptions adopted in various developments as well as some new design ideas. We also discuss several possible future research directions toward PT control.
| Original language | English |
|---|---|
| Pages (from-to) | 4102-4116 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
| Volume | 53 |
| Issue number | 7 |
| Early online date | 15 Feb 2023 |
| DOIs | |
| Publication status | Published - Jul 2023 |
| Externally published | Yes |
Bibliographical note
This article was recommended by Associate Editor H. Zhang.Publisher Copyright:
© 2013 IEEE.
Funding
This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB4701400/4701401; in part by the National Natural Science Foundation of China under Grant 61991400, Grant 61991403, Grant 62250710167, Grant 61860206008, Grant 61933012, and Grant 62273064; and in part by the China Scholarship Council.
Keywords
- Finite-time (FT) control
- prescribed-time (PT) control
- state scaling
- time scaling
- time-varying feedback