Adaptation and Learning in Automatic Systems
Adaptation and Learning in Automatic Systems
On Optimality Criteria in Identification Problems
Proceedings of the IFIP Technical Conference
Process parameter and state estimation
Automatica (Journal of IFAC)
Comparison of some methods used for process identification
Automatica (Journal of IFAC)
System identification-A survey
Automatica (Journal of IFAC)
Brief paper: New prediction algorithms by covariance information based on innovation theory
Automatica (Journal of IFAC)
Some recent applications of distributed parameter systems theory-A survey
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
The paper is an attempt to describe the use of identification methods in the U.S.S.R. where these develop and extend at a rate comparable to that of the rest of the world. Therefore complete coverage seems to be impossible in one article. Furthermore, many of the methods used in the U.S.S.R. were described in surveys presented to preceding IFAC Congresses and Symposia. Therefore attention is focused on methods which have not been adequately covered in those papers. Relatively much attention is given to adaptive, dispersional, 'standard' and distributed models. The essence of each method is described in brief and actual plants are listed where these methods are applied. References are made to papers which describe these methods in more detail. The final part of the paper is a very brief account of other kinds of models and their application.