Title :
The best achievable performance of sampled-data control systems with a small sampling period
Author_Institution :
Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan
Abstract :
This report shows that the best achievable performance of sampled-data control systems does not necessarily converge to that of continuous-time control systems even if a sampling period approaches zero. Moreover, it studies when a sampled-data system has the converging property and when it does not. Especially, a necessary and sufficient condition in order to guarantee convergence for almost all plants is obtained. The present analysis uses a lifting-based framework for sampled-data systems, which can treat a large class of generalized samplers and holds
Keywords :
control system analysis; convergence; sampled data systems; best achievable performance; converging property; lifting-based framework; necessary and sufficient condition; sampled-data control systems; small sampling period; Bandwidth; Control systems; Data systems; Frequency; Low pass filters; Physics; Sampling methods; Sensor systems; Sufficient conditions; Transfer functions;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.652413