Optimal control of a two-stage stochastic hybrid manufacturing system with Poisson arrivals and exponential service times
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27314
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
- Conference Paper 
Extending earli'er work on single-stage stochastic hybrid system models, we consider a two-stage stochastic hybrid system where the job arrivals are represented through a Poisson process, and the service times required to attain a desired physical state are exponentially distributed dependent on the controllable process rates. For the case where the costs associated with the process rates and the inventory levels are non-decreasing convex, and the process rates take values from finite sets, we show that there exist threshold policies on both inventory levels for selecting the optimal process rates at each station. © 2005 IEEE.
Showing items related by title, author, creator and subject.
Morgül Ö. (Institute of Electrical and Electronics Engineers Inc., 2003)We consider the delayed feedback control (DFC) scheme for one dimensional discrete time systems. To analyze the stability, we construct a map whose fixed points correspond to the periodic orbits of the system to be controlled. ...
Abidi, K.; Yildiz, Y. (IFAC Secretariat, 2015)In this paper, we present the discrete version of the Adaptive Posicast Controller (APC) that deals with parametric uncertainties in systems with input time-delays. The continuous-time APC is based on the Smith Predictor ...
Abidi K.; Yildiz Y.; Annaswamy A. (Institute of Electrical and Electronics Engineers Inc., 2017)This technical note proposes a discrete-time adaptive controller for the control of sampled-data systems. The design is inspired from the Adaptive Posicast Controller (APC) which was designed for time-delay systems in ...