The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-587
Full Name: Jelena Djurovic
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Faculty of Technology and Metallurgy Belgrade University
Country: YUGOSLAVIA
Tel: 381113303771
Tel prefix: 001
Fax: 381113370387
E-mail address: savkovic@tmf.bg.ac.rs
Other E-mails: jelenadj@tmf.bg.ac.rs, stevanoviccace@yahoo.com
Title of the Paper: An inverse control of the extraction column
Authors as they appear in the Paper: J.Djurovic
Email addresses of all the authors: jelenadj@yahoo.com, stevanoviccace@yahoo.com
Number of paper pages: 10
Abstract: Abstractâ€" In this paper inverse modelling method was investigated. In order to perform the state prediction necessary to the future system behavior, an inverse system is developed based on input/output data. Much of work deals with dynamics of processes, system identification, state variable estimation, disturbance estimation, filtering and smoothing. Identification and control system to the variation of the state variables over time in multistage process unit were investigated. A liquid-liquid extraction column was used. Several models were built. Inverse control methods reverse the process finding the response of a system to a particular form of input or disturbance for a given set of initial conditions, and attempt to find the control inputs required to achieve a particular response. With inverse dynamic modelling the control variables, in order to make the plant output, follow the desired set-point. The control system was developed based on input/output !
data. Numerical simulation was performed. The obtained results show improving products quality control, determine optimum set points, and a troubleshooting day to day operating problem. Abstractâ€" In this paper inverse modelling method was investigated. In order to perform the state prediction necessary to the future system behavior, an inverse system is developed based on input/output data. Much of work deals with dynamics of processes, system identification, state variable estimation, disturbance estimation, filtering and smoothing. Identification and control system to the variation of the state variables over time in multistage process unit were investigated. A liquid-liquid extraction column was used. Several models were built. Inverse control methods reverse the process finding the response of a system to a particular form of input or disturbance for a given set of initial conditions, and attempt to find the control inputs required to achieve a particular respon!
se. With inverse dynamic modelling the control variables, in order to
make the plant output, follow the desired set-point. The control system was developed based on input/output data. Numerical simulation was performed. The obtained results show improving products quality control, determine optimum set points, and a troubleshooting day to day operating problem. Keywordsâ€" Control model, dynamic response, inverse method, extraction process, multistage unit.
Keywords: Keywordsâ€"MulAbstractâ€" In this paper inverse modelling method was investigated. In order to perform the state prediction necessary to the future system behavior, an inverse system is developed based on input/output data. Much of work deals with dynamics of processes, system identification, state variable estimation, disturbance estimation, filtering and smoothing. Identification and control syst
EXTENSION of the file: .doc
Special (Invited) Session: An extraction multistage unit control
Organizer of the Session: ID104-132
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