MIMO model of an interacting series process for Robust MPC via System Identification

ISA Transactions

Volumn 49, Issue 3, 2010, Pages 335-347

  Wibowo, Tri Chandra S ^a   Saad, Nordin ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Interacting series process; Mathematical model; Model predictive control; Nonlinear dynamics; System identification

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; DYNAMICS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; MIMO SYSTEMS; PILOT PLANTS; PREDICTIVE CONTROL SYSTEMS; REAL TIME CONTROL; RELIGIOUS BUILDINGS; STATE SPACE METHODS;

DYNAMIC CHARACTERISTICS; IDENTIFICATION PROCESS; INTERACTING PROCESS; LINEAR MODELING; MIMO STATE-SPACE MODELS; REAL-TIME IMPLEMENTATIONS; SYSTEM IDENTIFICATION TECHNIQUES; ZERO STEADY STATE ERROR;

MODEL PREDICTIVE CONTROL;

ALGORITHM; ARTICLE; COMPUTER SYSTEM; FORECASTING; GAS; INDUSTRY; METHODOLOGY; PILOT STUDY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SYSTEMS; FORECASTING; GASES; INDUSTRY; LINEAR MODELS; MODELS, STATISTICAL; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS;

EID: 77955657066     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2010.02.005     Document Type: Article

References (25)

1. M. Bauer, and I.K. Craig Economic assessment of advanced process controlA survey and framework Journal of Process Control 18 2008 2 18
2. J.Z. Lu Challenging control problems and emerging technologies in enterprise optimization Control Engineering Practice 11 2003 847 858
3. V. Adetola, D. DeHaan, and M. Guay Adaptive model predictive control for constrained nonlinear systems Systems & Control Letters 58 2009 320 326
4. D.Q. Mayne, M.M. Seron, and S.V. Rakovi Robust model predictive control of constrained linear systems with bounded disturbances Automatica 41 2005 219 224
5. S.B. Jørgensen, and J.H. Lee Recent advances and challenges in process identification AIChE Symposium Series 98 2002 55 74
6. B.S. Dayal, and J.F. MacGregor Multi-output process identification Journal of Process Control 7 1997 269 282
7. G.R. Sriniwas, and Y. Arkun Control of the Tennessee Eastman process using inputoutput models Journal of Process Control 7 1997 387 400
8. Y. Zhu, and P. Stec Simple control-relevant identification test methods for a class of ill-conditioned processes Journal of Process Control 16 2006 1113 1120
9. A. Faanes, and S. Skogestad pH-neutralization: integrated process and control design Computers & Chemical Engineering 28 2004 1475 1487
10. J. Morud, and S. Skogestad Dynamic behaviour of integrated plants Journal of Process Control 6 1996 145 156
11. E.P. Gatzke, E.S. Meadows, C. Wang, and F.J. Doyle Model based control of a four-tank system Computers & Chemical Engineering 24 2000 1503 1509
12. E. Weyer System identification of an open water channel Control Engineering Practice 9 2001 1289 1299
13. O.A.Z. Sotomayor, S.W. Parka, and C. Garcia Multivariable identification of an activated sludge process with subspace-based algorithms Control Engineering Practice 11 2003 961 969
14. P.V. Overschee, and B.D. Moor Subspace identification for linear systems 1996 Kluwer Academic Publishers London
15. T. Katayama Subspace methods for system identification 2005 Springer London
16. W. Favoreel, B.D. Moor, and P.V. Overschee Subspace state space system identification for industrial processes Journal of Process Control 10 2000 149 155
17. T. Bastogne, H. Noura, P. Sibille, and A. Richard Multivariable identification of a winding process by subspace methods for tension control Control Engineering Practice 6 1998 1077 1088
18. Wibowo TCS, Saad N, Karsiti MN. System identification of an interacting series process for real-time model predictive control. In: 2009 American control conference. 2009.
19. D. Bauer Order estimation for subspace methods Automatica 37 2001 1561 1573
20. Y. Zhang, Z. Zhang, X. Xu, and H. Hua Modal parameter identification using response data only Journal of Sound and Vibration 282 2005 367 380
21. L. Mevel, A. Benveniste, M. Basseville, and M. Goursat Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors IEEE Transactions on Signal Processing 50 2002 41 48
22. C. Brosilow, and B. Joseph Techniques of model-based control 2002 Prentice Hall Upper Saddle River (NJ)
23. L. Ljung System identification toolbox™7 user's guide 2008 The MathWorks, Inc. Natick (MA)
24. Qin SJ, Badgwell TA. An overview of industrial model predictive control technology. In: Fifth international conference on chemical process control. 1996.
25. W. Wojsznis, J. Gudaz, T. Blevins, and A. Mehta Practical approach to tuning MPC ISA Transactions 42 2003 149 162