Title :
Variable sampling integral control of infinite-dimensional systems
Author :
Özdemir, Necati ; Townley, Stuart
Author_Institution :
Dept. of Math., Balikesir Univ., Turkey
Abstract :
In this paper we present sampled-data low-gain integral control algorithms for infinite-dimensional systems in which the sampling period is not constant. The system is assumed to be exponentially stable with invertible steady state gain. The choice of the integrator gain is based on steady state gain information. In one algorithm the sampling time is divergent and in the other it increases adaptively
Keywords :
asymptotic stability; multidimensional systems; sampled data systems; adaptively increasing sampling time; divergent sampling time; exponentially stable system; infinite-dimensional systems; invertible steady state gain; sampled-data low-gain integral control algorithms; variable sampling integral control; Algorithm design and analysis; Control systems; MIMO; Mathematics; Pi control; Proportional control; Sampling methods; Steady-state; Tracking loops; Transfer functions;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912205
