Supervisory-plus-regulatory control design for efficient operation of industrial furnaces

A two-level system engineering design approach to integrated control and supervision of industrial multi-zone furnaces has been elaborated and tested. The application case study is the three-zone 25 MW RZS furnace plant at Skopje Steelworks. The integrated control and supervision design is based on combined use of general predictive control optimization of set-points and steady-state decoupling,at the upper level, and classical two-term laws with stady-state decouling, at the executive control level. This design technique exploits the intrinsic stability of thermal processes and makes use of constrained optimization, standard non-parametric time-domain process models, identified under operating conditions, using truncated k-time sequence matrices, controlled autoregressive moving average models. Digital implementations are sought within standard computer process control platform for practical engineering and maintenance reasons

Pusher reheating furnace control: a fuzzy-neural model predictive strategy

Dimirovski, Georgi M. (Dogus Author) -- Conference full title: Preprints of the IFAC Workshop Energy Saving Control in Plants and Buildings, 3 - 5 October 2006, Bansko, BulgariaA design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.IFAC International Federation of Automatic Control (IFAC), IFAC Technical Committee on Cost Oriented Automation COA (TC 4.4), Fed. Sci. Tech. Unions Bulgaria (FNTS), Union of Automation and Informatics (UAI),Inf. Commun. Technol. Dev. Agency, MT

Complexity of social system cybernetics: Risk and uncertainty management in negotiation

Dimirovski, Georgi M., Dinibütün (Dogus Author), Abdurrahman Talha (Dogus Author); -- 2006 IFAC. Published by Elsevier Ltd All rights reserved. ; A Proceedings Volume from the IFAC Conference on Supplemental Ways for Improving International Stability through Automation ISA '06, 15–17 June 2006, Pr. A volume in IPV–IFAC Proceedings Volume 2006, Pages 71–76.The globalization era world-wide involve mass communications and competition of conflicting interests, social and society interactions as well as various confrontations intrinsic to which are the negotiation processes based on information and decision analyses. This social system cybernetics emphasises for the mankind society at large the improvement society’s ability to manage uncertainty has become vitally important. Probability theory and information theory as well as fuzzy-set theory, and thereafter info-gap and risk-management models have contributed considerably to understanding social system cybernetics as well as an managing international conflicts and risks. By adopting the information as the third fundamental category next to those of energy and matter, and taking theories of complexity and complex systems as point of departure, it can be argued in favour of composite linguistic and probabilistic information as categorical concept in negotiations along with uncertainty management within organizational human-centred and social systems