| 11. |
- Hjalmarsson, Håkan, 1962-, et al.
(author)
-
Discussion of `unknown-but-bounded' disturbances in system identification
- 1993
-
In: Proceedings of the IEEE Conference on Decision and Control. - San Antonio, TX, USA : Linköping University. - 0780312988 ; , s. 535-536
-
Conference paper (peer-reviewed)abstract
- In this contribution we point out that a fundamental property of a disturbance is that it is independent of the input - otherwise it is rather part of the system. Based on this characterization we show that parameter convergence can be obtained not only for stochastic but also for unknown-but-bounded disturbances if the input is at our disposal.
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| 12. |
- Hjalmarsson, Håkan, 1962-, et al.
(author)
-
Estimating model variance in the case of undermodeling
- 1992
-
In: IEEE Transactions on Automatic Control. - Linköping : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9286 .- 1558-2523. ; 37:7, s. 1004-1008
-
Journal article (peer-reviewed)abstract
- A reliable quality estimate of a given model is a prerequisite for any reasonable use of the model. The model error consists of two different contributions: the bias error and the random error. In this contribution, it is shown that the size (variance) of the random error can be reliably estimated in the case where a true system description cannot be achieved in the model structure used. This consistent error estimate can differ considerably from the conventionally used variance estimate, which could thus be misleading.
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| 13. |
- Hjalmarsson, Håkan, 1962-
(author)
-
Estimation of the Variability of Time-Varying Systems
- 1991
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In: Proceedings of the 9th IFAC Symposium on Identification and System Parameter Estimation. - Linköping : Linköping University. ; , s. 1701-1706
-
Conference paper (peer-reviewed)
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| 14. |
- Hjalmarsson, Håkan, 1962-, et al.
(author)
-
How to estimate model uncertainty in the case of under-modelling
- 1990
-
In: Proceedings of the American Control Conference. - San Diego, CA, USA. ; , s. 323-324
-
Conference paper (peer-reviewed)abstract
- A method for estimating the parameter avoidance for the least-squares method by exploiting the ergodicity properties exhibited by the weighted least-squares estimate is presented. The method is illustrated by an example of a second-order system corrupted by strongly correlated high-frequency measurement noise.
|
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| 15. |
- Hjalmarsson, Håkan, 1962-
(author)
-
Non-Vanishing Model Errors
- 1994
-
In: Modeling of Uncertainty in Control Systems. - Berlin ; New York : Springer Berlin/Heidelberg. - 3540198709 - 0387198709 ; , s. 261-274, s. 261-274
-
Book chapter (peer-reviewed)
|
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| 16. |
|
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| 17. |
- Sjöberg, Jonas, et al.
(author)
-
Neural Networks in System Identification
- 1994
-
In: Proc. IFAC/IFORS Symposium on Identification and System Parameter Estimation. ; , s. 2-049
-
Conference paper (peer-reviewed)
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