System identification: theory for the user
System identification: theory for the user
Information-based complexity
Worst-case identification in Banach spaces
Systems & Control Letters
Worst case system identification in l1 ne-equation1: optimal algorithms and error bounds
Systems & Control Letters
Information-based complexity and nonparametric worst-case system identification
Journal of Complexity - Special issue: invited articles dedicated to J. F. Traub on the occasion of his 60th birthday
Worst-case control-relevant identification
Automatica (Journal of IFAC) - Special issue on trends in system identification
Robust Systems Theory and Applications
Robust Systems Theory and Applications
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In time-domain identification of linear systems the aim is to estimate the impulse response or transfer function of a linear system to within a given tolerance using a finite number of noisy observations of the output. Whether this is possible depends on the model set, that is, a given set to which the system is assumed to belong a priori. We give necessary and sufficient conditions on the model set to ensure that such identification is possible in the continuous-time case.