Design of optimal procedural controllers for chemical processes modelled as stochastic discrete event systems
This thesis presents a formal method for the the design of optimal and provably correct procedural controllers for chemical processes modelled as Stochastic Discrete Event Systems (SDESs). The thesis extends previous work on Procedural Control Theory (PCT) [1], which used formal techniques for the d...
Main Author: | Feng, Zhangpeng |
---|---|
Other Authors: | Macchietto, Sandro |
Published: |
Imperial College London
2008
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487988 |
Similar Items
-
Control structure selection for process control under model uncertainties
by: Agustriyanto, Rudy
Published: (2008) -
Data-driven methods for process analysis
by: Bauer, Margret
Published: (2005) -
Applications of robust multivariate statistics in process monitoring
by: Castro RodriÌguez, Daniel Alberto
Published: (2008) -
Multivariate design and automation in synthetic chemistry
by: Ross, Katharine Louise
Published: (2006) -
Studying the control of intensified systems
by: Abd Shukor, Syamsul Rizal
Published: (2004)