Two-step procedure for data-based modeling for inferential control applications

AIChE Journal

Volumn 46, Issue 10, 2000, Pages 1974-1988

  Amirthalingam, Raja ^a,b   Sung, Su Whan ^a,c   Lee, Jay H ^a,d  

^a PURDUE UNIVERSITY   (United States)

^b PROSYS INC   (United States)

^c Pohang University of Science and Technology (POSTECH)   (South Korea)

^d Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHROMATOGRAPHY; DATABASE SYSTEMS; DISTILLATION COLUMNS; IDENTIFICATION (CONTROL SYSTEMS); MODELS; PROCESS CONTROL; TESTING;

INFERENTIAL CONTROL APPLICATIONS; MODEL-PREDICTIVE CONTROL (MPC);

CHEMICALS;

CONTROL METHOD; CONTROL SYSTEM; DISTILLATION COLUMN;

ARTICLE; CHEMICAL ANALYSIS; DATA ANALYSIS; DISTILLATION; MATHEMATICAL ANALYSIS; PREDICTION; PROCESS CONTROL; STOCHASTIC MODEL;

EID: 0034302789     PISSN: 00011541     EISSN: None     Source Type: Journal    
DOI: 10.1002/aic.690461010     Document Type: Article

References (37)

1. Subspace identification based inferential control of a continuous pulp digester
2. Subspace identification based inferential control applied to a continuous pulp digester
3. Dynamics and identification of a binary distillation column
4. Estimation of nonlinear systems using linear multiple models
5. Predictive control of sheet and film forming processes
6. Control-relevant experiment design
7. Experience with the DMC inverse for identification
8. Nonlinear inferential control for process applications
9. Closed-loop identification revisited
10. Sampled-data control systems containing periodically varying members
11. Inconsistencies in dynamic models for Ill-conditioned plants: Application to low-order models of distillation columns
12. A new approach to linear filtering and prediction problems
13. New results in linear filtering and prediction theory
14. Input-output analysis of multi-rate feedback systems
15. Canonical variate analysis in identification, filtering, and adaptive control
16. Nonlinear inferential control of pulp digester
17. State space interpretation of model predictive controll
18. Model predictive control of multi-rate sampled-data systems: A state-space approach
19. Robust inferential control of multi-rate sample-data systems
20. System identification and long-range predictive control of multi-rate systems
21. Control relevant identification of ill-conditioned systems: Estimation of gain directionality
22. Subspace identification from closed loop data
23. An alternative motivation for the indirect approach to closed-loop identification
24. Minimizing unobservability in inferential control schemes
25. Model predictive control with linear models
26. Inferential model-based control of multicomponent batch distillation
27. Model predictive control: State of the art
28. Quality monitoring and control of nylon 6, 6 autoclave
29. Multi-rate nonlinear state and parameter estimation in a bioreactor
30. Nonlinear state estimation in a polymerization reactor
31. N4SID: Subspace algorithms for the identification of combined deterministic stochastic systems
32. A novel non-iterative MIMO state space identification technique
33. Dynamic and control behaviour of multicomponent distillation columns
34. Use of multiple temperatures for the control of multicomponent distillation columns
35. State estimation based model predictive control applied to shell control process: A case study