Impulse Response Estimation Using Online Built-In Self-Scaling Method

Author:

Tan Ai Hui

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference12 articles.

1. Chen, T. (2018). On kernel design for regularized LTI system identification. Automatica 90, 109-122.

2. Chen, T., Ohlsson, H., and Ljung, L. (2012). On the estimation of transfer functions, regularizations and Gaussian processes - Revisited. Automatica 48 (8), 1525-1535.

3. De Moor, B.L.R. (Ed.) (2008). DaISy: Database for the Identification of Systems, Department of Electrical Engineering, ESAT/STADIUS, KU Leuven, Belgium. URL: http://homes.esat.kuleuven.be/~smc/daisy/. [Used dataset: Data of a laboratory setup acting like a hair dryer; Section: Mechanical systems; Code number: 96-006.]

4. Fujimoto, Y. and Sugie, T. (2018). Kernel-based impulse response estimation with a priori knowledge of the DC gain. IEEE Control Systems Letters 2 (4), 713-718.

5. Ljung, L. (1999). System Identification - Theory for the User, 2nd Edition, Prentice Hall, Upper Saddle River, USA.

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