Title :
Power spectral analysis of networked control systems with data dropouts
Author :
Ling, Qiang ; Lemmon, Michael D.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
fDate :
6/1/2004 12:00:00 AM
Abstract :
This note derives a closed-form expression for a control system´s output power spectral density (PSD) as a function of the data dropout probability. We use the PSD to determine a dropout compensator that minimizes the regulator´s output power. We show, by example, that the optimal dropout compensator does not always correspond to a filter that minimizes the mean square error between the predicted and dropped feedback measurement.
Keywords :
compensation; distributed control; least mean squares methods; linear systems; optimal control; optimisation; power control; probability; data dropouts probability; minimum mean square error; networked control systems; optimal dropout compensator; power spectral density; Circuit stability; Communication system control; Control systems; Feedback; Iterative algorithms; Linear systems; Networked control systems; Power generation; Quality of service; Spectral analysis; Networked control system; PSD; power spectral density;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2004.829612