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.

Original languageEnglish
Title of host publication2015 International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Proceedings
EditorsL. A. Petrosyan, A. P. Zhabko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages299-302
Number of pages4
ISBN (Electronic)9781467376983
DOIs
StatePublished - 30 Nov 2015
EventInternational Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Петергоф, St. Petersburg, Russian Federation
Duration: 5 Oct 20159 Oct 2015
http://www.apmath.spbu.ru/scp2015/openconf.php

Publication series

Name2015 International Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015 - Proceedings

Conference

ConferenceInternational Conference on "Stability and Control Processes" in Memory of V.I. Zubov, SCP 2015
Abbreviated titleSCP 2015
Country/TerritoryRussian Federation
CitySt. Petersburg
Period5/10/159/10/15
Internet address

    Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering

    Research areas

  • Approximation methods, Control systems, Data models, Mathematical model, Monitoring, Particle beams, Time measurement

ID: 3983292