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- Hjalmarsson, Håkan, 1962-
(författare)
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A Model Variance Estimator
- 1993
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Ingår i: Proceedings of the 12th IFAC World Congress. - 9780080422121 ; , s. 5-10, s. 5-10
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Konferensbidrag (refereegranskat)
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| 5. |
- Hjalmarsson, Håkan, 1962-, et al.
(författare)
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A Unifying View of Disturbances in Identification
- 1994
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Ingår i: Proceedings of the 10th IFAC Symposium on System Identification. - Linköping : Linköping University. - 9780080422251 ; , s. 73-78
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Konferensbidrag (refereegranskat)
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| 7. |
- Hjalmarsson, Håkan, 1962-, et al.
(författare)
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Assessing model quality from data
- 1991
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Ingår i: Modeling, estimation and control of systems with uncertainty. - : Birkhäuser Verlag. ; , s. 167-187
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Bokkapitel (refereegranskat)
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| 8. |
- Hjalmarsson, Håkan, 1962-
(författare)
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Asymptotic correct correlation tests in model validation
- 1993
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Ingår i: Proceedings of the IEEE Conference on Decision and Control. - San Antonio, TX, USA. - 0780312988 ; , s. 2058-2059
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Konferensbidrag (refereegranskat)abstract
- It is well-known that correlation tests may give true significance levels that differ significantly from the desired ones; the tests are less inclined to reject the null hypothesis when second-hand data are used compared with how they are designed to behave and the situation is the opposite for 'fresh' data. The reason is that the tests are based on the assumption that the limit model (corresponding to infinite data) is available. In this contribution we propose a methodology to design correlation tests that avoid this artifact. This leads to tests of higher order correlations.
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| 9. |
- Hjalmarsson, Håkan, 1962-, et al.
(författare)
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Convergent iterative restricted complexity control design scheme
- 1994
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Ingår i: Proceedings of the IEEE Conference on Decision and Control. - Lake Buena Vista, FL, USA : Linköping University. - 0780319680 ; , s. 1735-1740
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Konferensbidrag (refereegranskat)abstract
- In this contribution we propose an optimization approach to the design of a restricted complexity controller. The design criterion is of LQG type containing two terms. The first term is the quadratic norm of the error between the output of the true closed loop and a desired response. The second term is the quadratic norm of the input signals. It is shown that the minimization of this criterion does not require a model of the system. Closed loop experimental data can be used instead. The result is an iterative scheme of closed loop experiments and controller updates which converges to a local minimum of the design criterion under the condition of bounded signals.
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