Nonlinear Auto-Tuning PI Control With Desired Precision Within User-Specifiable Time
This article presents a novel nonlinear adaptive proportional-integral (PI)-like tracking control approach designed for a class of uncertain nonlinear systems. The proposed method offers several key advantages: 1) it maintains a simple PI structure while incorporating nonlinear elements; 2) unlike traditional PI control, which typically employs fixed PI gains and is susceptible to integration saturation, this approach utilizes self-tuning PI gains to effectively eliminate saturation issues, thereby addressing the long-standing windup problem; and 3) it skillfully manages both the transient behavior and steady-state accuracy of the tracking error through a new prescribed performance function that is independent of initial conditions. This ensures that, for any unknown bounded initial tracking errors, the proposed PI-like control can uniformly confine the tracking error to a specified boundary (accuracy) within a predetermined time rather than over an infinite duration. The effectiveness and advantages of this method are validated through simulation results.
Authors
- Pétros Ioannou (ORCID: https://orcid.org/0000-0001-6981-0704)
- Yongduan Song (ORCID: https://orcid.org/0000-0002-2167-1861)
- Kaili Xiang (ORCID: https://orcid.org/0009-0006-6577-0593)
Institutions
- University of Southern California (US)
- Chongqing University (CN)
Publication Details
- Journal
- IEEE Transactions on Cybernetics
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1109/tcyb.2025.3636913
- Citations
- 1
- Primary Topic
- Adaptive Control of Nonlinear Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21