Title :
On systems with non-Markovian regime changes
Author_Institution :
CNRS, Gif-sur-Yvette, France
fDate :
3/1/1989 12:00:00 AM
Abstract :
Jump models have been proposed for a wide variety of applications from fault-tolerant control to power network transient analysis and multitarget tracking. However, most available results are limited to Markovian transitions, which excludes systems with rates dependent on the time elapsed since the last transition; that is, typically, the burn-in and aging phenomena. A non-Markovian model is proposed and its use for the synthesis of feedback regulators is discussed
Keywords :
Markov processes; control system synthesis; feedback; optimal control; feedback control synthesis; jump model; mode estimation; nonMarkovian model; optimal control; Adaptive control; Adaptive systems; Automatic control; Feedback; Jitter; Learning systems; Power system modeling; Programmable control; Stability; Steady-state;
Journal_Title :
Automatic Control, IEEE Transactions on
