Model predictive heuristic control. Applications to industrial processes

Automatica

Volumn 14, Issue 5, 1978, Pages 413-428

  Richalet, J ^a   Rault, A ^a   Testud, J L ^a   Papon, J ^a  

^a GERBIOS ^*  (France)

Author keywords

Chemical industry; computer control; control theory; dual control; identification; Lyapunov methods; multivariable control systems; oil refining; predictive control; steam generators

Indexed keywords

PROCESS CONTROL;

EID: 0018015327     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(78)90001-8     Document Type: Article

References (27)

1. Angenäherte Auflõsung von Systemen Linearer Gleichungen
2. A learning method for system identification
3. Identification des systèmes discrets linéaires multivariables par minimisation d'une distance de structure
4. Identification des systèmes discrets linéaires monovariables par minimisation d'une distance de structure
5. Comment on a learning method for system identification
6. A hyperstability criterion for model reference adaptive control systems
7. New trends in identification minimization of a structural distance: weak topology
8. System identification, a survey
9. Simultaneous identification and control
10. Application of adaptive tuning of filters of exo-atmospheric target tracking
11. Ill-posed and well-posed problems in system identification
12. An identification procedure for discrete multivariable systems
13. Methods for on-line process identification in closed loop
14. On the accuracy problem in identification
15. Stochastic adaptive control methods: a survey
16. Microcomputer systems for chemical process control
17. IDCOM—Conduite algorithmique des processus industriels de fabrication
18. Algorithmic control of industrial processes
19. Identification of processes in closed loops
20. Introductory Review—The Kernel identification (1910–1977—Review of theory calculation application and interpretation)
21. The hidden benefits from better process control