On Model-Free Adaptive Control and Its Stability Analysis
Qingdao University · Beijing Jiaotong University
Abstract
In this paper, the main issues of model-based control methods are first reviewed, followed by the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a novel data-driven control method for a class of unknown nonaffine nonlinear discrete-time systems since neither explicit physical model nor Lyapunov stability theory or key technical lemma is used in the controller design and theoretical analysis except only for the input/output (I/O) measurement data. The basis of MFAC is the dynamic linearization data modeling method at each operating point of the closed-loop system. The established dynamic linearization data model is a virtual equivalent data relationship in the I/O sense…
Citation impact
- FWCI
- 39.62
- Percentile
- 100%
- References
- 52
Authors
2Topics & keywords
- Control theory (sociology)
- Adaptive control
- Linearization
- Mathematics
- Nonlinear system
- Controller (irrigation)
- Tracking error
- Computer science