Comparative study and development of integrated optimization and parameter estimation algorithms for hierarchical steady-state control

Author:

TATJEWSKI P.1,ABDULLAH N.2,ROBERTS P. D.2

Affiliation:

1. a Institute of Automatic Control, Warsaw University of Technology , Warsaw , Poland

2. b Control Engineering Centre, City University , Northampton Square , London , EC1V 0HB , U.K

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Reference18 articles.

1. ABDULLAH , N. BRDYŚ , M. , and ROBERTS , P. D. , 1986 , An extension of hierarchical adaptive techniques for optimising control of large-scale interconnected systems . Research memorandum CEC/NA-MB-PDR/48 , The City University , London .

2. BRDYŚ , M. ABDULLAH , N. , and ROBERTS , P. D. , 1986 a , Hierarchical adaptive techniques for optimizing control of large-scale steady-state systems optimality, iterative strategies and their convergence . Research memorandum CEC/MB-NB-PDR-52 , The City University , London ; 1986 b, Augmented model based double iterative loop techniques for integrated system optimization and parameter estimation of large scale industrial process derivation, applicability and convergence. Research memoradum CEC/MB-NA-PDR/39, The City University, London; 1987 a, Augmented model-based double-iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes. Preprints of the 10th IFAC World Congress on Automatic Control, 27–31 July 1987, Munich, FRG; 1987 b, On augmented model-based double iterative loop techniques for integrated system optimisation and parameter estimation of large-scale industrial processes derivation, applicability and convergence. Research memoradum CEC/MB-NA-PDR-54, The City University, London .

3. Augmented integrated system optimisation and parameter estimation technique: derivation, optimality and convergence

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