Abstract
This work studies the semi-global stabilization problem for linear time-varying (LTV) systems with both input saturation and unbounded distributed input delays. Based on the parametric differential Riccati equation (DRE), a truncated predictor feedback controller is first developed through the low-gain method. A key property of the control input’s peak magnitude is then established; specifically, it is shown that the peak magnitude can be made arbitrarily small by tuning the parameter in the parametric DRE. It is demonstrated that the truncated predictor feedback controller effectively solves the concerned semi-global stabilization problem. Furthermore, by employing a perturbation theorem for unbounded-delayed systems, the obtained semi-global stabilization results eliminate an implicit assumption on initial conditions that was required in existing works. Finally, the effectiveness and advantages of the proposed control strategy are verified via two numerical simulation examples. © The Author(s), under exclusive licence to Springer Nature B.V. 2026.
| Original language | English |
|---|---|
| Article number | 621 |
| Number of pages | 12 |
| Journal | Nonlinear Dynamics |
| Volume | 114 |
| Issue number | 9 |
| Online published | 30 Apr 2026 |
| DOIs | |
| Publication status | Published - May 2026 |
Funding
This work was jointly supported by the National Natural Science Foundation of China (Grant No. 62373071), China Postdoctoral Science Foundation (Grant No. 2024M763914), Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202400610), and the State Key Laboratory of Autonomous Intelligent Unmanned Systems (Tongji University). The opening project number is ZZKF2025ZD-1-2.
Research Keywords
- Input saturation
- Semi-global stabilization
- Truncated predictor feedback
- Unbounded distributed input delays
Fingerprint
Dive into the research topics of 'Semi-global stabilization of linear time-varying systems with input saturation and unbounded distributed input delays'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver