Title :
Controlled wear processes: modeling-optimal control
Author_Institution :
Dept. of Math., Kentucky Univ., Lexington, KY, USA
Abstract :
Wear processes modeled by a scalar Ito equation cannot have increasing paths unless the Ito equation is really a deterministic ordinary differential equation. However, vector Ito equations whose first component is just an ordinary differential equation with positive derivative yield a stochastic process whose first component has continuous increasing paths. Thus it is claimed that if Ito equations are used to model wear processes, they must always have a particular form. Control problems are set up for these types of wear models, and an explicit solution is obtained in a special case
Keywords :
Markov processes; differential equations; optimal control; reliability theory; stochastic systems; Markov processes; modeling-optimal control; ordinary differential equation; reliability theory; scalar Ito equation; stochastic process; stochastic systems; vector Ito equations; wear processes; Automatic control; Computer aided manufacturing; Equations; Indium tin oxide; Markov processes; Mathematical model; Mathematics; Optimal control; Process control; Stochastic processes;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70212