โ Scribed by Robert L. Payne; Graham C. Goodwin; Martin B. Zarrop
No coin nor oath required. For personal study only.
This paper considers the problem of joint determination of input spectra and sampling rate for linear system identification. The concept of an 'input spectrum preserving sampler' is introduced and it is shown that, for this sampler, the usual anti-aliasing filter is optimal, and that joint optimal design of input spectrum and sampling rate may be readily performi~d in the frequency domain. *
๐ SIMILAR VOLUMES
Frequency domain functions are developed which play an analogous role in sampled data control as do the common sensitivity and complementary sensitivity functions in traditional control.
Presented is a nonlinear controller design methodology for a class of linear regulating systems subjected to quantitative time-domain constraints. The design objective is to satisfy an output time-domain tolerance given an actuator saturation constraint despite an external step disturbance. The goal
This paper deals with the robust fault detection (FD) problem in low frequency domain for linear time-delay systems. The Hโ norm and Hindex are used to measure the robustness to unknown inputs and the sensitivity to faults, respectively. The main results include derivation of a sufficient condition