## SUMMARY For a Markov reward process, where upper and lower bounds for the transition rates and rewards are known, a new approach to bound the expected reward is presented. Based on a previous paper where sharp bounds have been defined for the problem, but only an inefficient and unstable algorit
On-line optimization of stochastic processes using Markov Decision Processes
โ Scribed by Victor M. Saucedo; M.Nazmul Karim
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 436 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0098-1354
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This article describes a methodology that implements a Markov decision process (MDP) optimization technique in a real time fed-batch experiment. Biological systems can be better modeled under the stochastic framework and MDP is shown to be a suitable technique for their optimization. A nonlinear inp
This article presents a new method for on-line monitoring of pharmaceutical production process, especially the powder blending process. The new method consists of two parts: extracting features from the Near Infrared (NIR) spectroscopy signals and recognizing patterns from the features. Features are
A two-phase approach to the control and operation of complex chemical processes at their optimum operating conditions is presented. The first phase consists of on-line parameter identification and state estimation of approximate nonlinear dynamic process models using on-line and off-line measurement