Abstract
This paper presents a linear-like adaptive control theory for nonlinear systems. The system to be controlled is first described by a so called quasi-ARMAX model which is a linear-like nonlinear model. The quasi-ARMAX model is distinctive to other models in that its polynomials in backward shift operator (filters) are time-varying, but they can be treated as commutable ones simultaneously. By using this special property of filters effectively, we then develop an adaptive control scheme in a similar way to linear control theory, in which a group of adaptive fuzzy mod-els are used to re-parameterize the unknown coefficients of controller. The effectiveness of the proposed scheme is confirmed through numerical simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 7-12 |
| Number of pages | 6 |
| Journal | Research Reports on Information Science and Electrical Engineering of Kyushu University |
| Volume | 3 |
| Issue number | 1 |
| Publication status | Published - 1998 Mar 1 |
| Externally published | Yes |
Keywords
- ARMAX model
- Adaptive control
- Fuzzy models
- Linear control theory
- Nonlinear control
- Nonlinear systems
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering