Adaptive iterative correlation tuning for closed loop system with two parametrised controllers*
DOI10.1080/00207721.2020.1871527zbMath1483.93285OpenAlexW3127976062MaRDI QIDQ5028638
Ricardo A. Ramírez Mendoza, Wang Yanxiang, Rubén Morales-Menéndez, Wang Jianhong
Publication date: 10 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2020.1871527
Lyapunov stabilityadaptive mechanismsensitivity functionmodel structure validationiterative correlation tuning control
Feedback control (93B52) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)
Cites Work
- A design algorithm using external perturbation to improve iterative feedback tuning convergence
- From experiment design to closed-loop control
- Repetitive process based stochastic iterative learning control design for linear dynamics
- Data-driven iterative inversion-based control: achieving robustness through nonlinear learning
- Deterministic continuous-time virtual reference feedback tuning (VRFT) with application to PID design
- Iterative feedback tuning—an overview
- Frequency‐domain optimization of fixed‐structure controllers
- Identification and the Information Matrix: How to Get Just Sufficiently Rich?
- Zonotope parameter identification for virtual reference feedback tuning control
- System Identification and Low-Order Optimal Control of Intersample Behavior in ILC
This page was built for publication: Adaptive iterative correlation tuning for closed loop system with two parametrised controllers*
