Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Parametric identification of distributed control systems. / Andrianov, Serge; Edamenko, Nikolai.
2015 International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Proceedings. ed. / L. A. Petrosyan; A. P. Zhabko. Institute of Electrical and Electronics Engineers Inc., 2015. p. 299-302 7342142 (2015 International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Parametric identification of distributed control systems
AU - Andrianov, Serge
AU - Edamenko, Nikolai
N1 - Publisher Copyright: © 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2015/11/30
Y1 - 2015/11/30
N2 - When designing the control systems of particle beams we should pay great attention to the problem of tolerances, ensuring availability of the system to set limits on the admissible deviations of criterion value from the optimum value. However, in the simulation process, and during operation of the accelerator we are facing with the problem of determining the actual values of function parameters characterizing the observed state of the system. Naturally, that the problem of measurement monitoring of control parameters needs to be addressed in a physical terms, which leads to the need for selection of appropriate methods for describing and solving the problem of identification. From a general point of view, the problem of identification is one of the subproblems of optimal control theory of dynamic systems. Moreover, the methods developed for the identification problems are wide application and for searching of optimal solutions. In this article we consider the basic techniques and algorithms, which can be used to solve optimization problems (including identification) of system parameters controlling of particles beams.
AB - When designing the control systems of particle beams we should pay great attention to the problem of tolerances, ensuring availability of the system to set limits on the admissible deviations of criterion value from the optimum value. However, in the simulation process, and during operation of the accelerator we are facing with the problem of determining the actual values of function parameters characterizing the observed state of the system. Naturally, that the problem of measurement monitoring of control parameters needs to be addressed in a physical terms, which leads to the need for selection of appropriate methods for describing and solving the problem of identification. From a general point of view, the problem of identification is one of the subproblems of optimal control theory of dynamic systems. Moreover, the methods developed for the identification problems are wide application and for searching of optimal solutions. In this article we consider the basic techniques and algorithms, which can be used to solve optimization problems (including identification) of system parameters controlling of particles beams.
KW - Approximation methods
KW - Control systems
KW - Data models
KW - Mathematical model
KW - Monitoring
KW - Particle beams
KW - Time measurement
UR - http://www.scopus.com/inward/record.url?scp=84960103539&partnerID=8YFLogxK
U2 - 10.1109/SCP.2015.7342142
DO - 10.1109/SCP.2015.7342142
M3 - Conference contribution
T3 - 2015 International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Proceedings
SP - 299
EP - 302
BT - 2015 International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Proceedings
A2 - Petrosyan, L. A.
A2 - Zhabko, A. P.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015
Y2 - 5 October 2015 through 9 October 2015
ER -
ID: 3983292