Statistical performance monitoring of dynamic multivariate processes using state space modelling
Authors:
- A. SimoglouASA. Simoglou
- E.B. MartinEME.B. Martin
- A.J. MorrisAMA.J. Morris
- 1 June 2002
- journal article
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 26 (6) , 909-920
Abstract
No abstract availableThis publication has 18 references indexed in Scilit:
- Reduced-Rank ARX and Subspace System Identification for Process ControlIFAC Proceedings Volumes, 1998
- Control Charts for Dependent and Independent Measurements Based on Bootstrap MethodsJournal of the American Statistical Association, 1996
- Bootstrap confidence intervalsStatistical Science, 1996
- Disturbance detection and isolation by dynamic principal component analysisChemometrics and Intelligent Laboratory Systems, 1995
- The blockwise bootstrap for general empirical processes of stationary sequencesStochastic Processes and their Applications, 1995
- On the validity of the steady-state approximations in high conversion diffusion-controlled free-radical copolymerization reactionsPolymer, 1994
- Structure identification of nonlinear dynamic systems—A survey on input/output approachesAutomatica, 1990
- PLS regression methodsJournal of Chemometrics, 1988
- Time-Series Modeling for Statistical Process ControlJournal of Business & Economic Statistics, 1988
- Markovian Representation of Stochastic Processes by Canonical VariablesSIAM Journal on Control, 1975