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A class of algorithms for identification in H: continuous-time case

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3 Author(s)
Akcay, H. ; Dept. of Mech. Eng. & Appl. Mech., Michigan Univ., Ann Arbor, MI, USA ; Guoxiang Gu ; Khargonekar, P.P.

The problem of system identification in H for the continuous-time case is investigated. It is shown that the class of systems with a lower bound on the relative stability, an upper bound on the steady-state gain, and an upper bound on the roll-off rate is admissible. This allows one to develop a class of robustly convergent nonlinear algorithms. The algorithms in this class have a two-stage structure and are characterized by the use of window functions. Explicit worst-case error bounds in H norm between the identified model and the unknown system are given for a particular algorithm. An example is provided to illustrate the application of the results obtained

Published in:

Automatic Control, IEEE Transactions on  (Volume:38 ,  Issue: 2 )