| Creator |
|
|
|
|
|
| Language |
|
| Publisher |
|
|
|
| Date |
|
| Source Title |
|
| Vol |
|
| Issue |
|
| First Page |
|
| Last Page |
|
| Publication Type |
|
| Access Rights |
|
| JaLC DOI |
|
| Related DOI |
|
| Related URI |
|
| Relation |
|
| 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 models are used to re-parameterize the unknown coefficients of controller. The effectiveness of the proposed scheme is confirmed through numerical simulations.show more
|
Export Mendeley
p007