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Sustainable Algorithms for the Synthesis of a Suboptimal Dynamic Object Management System

  • H. Z. IgamberdievEmail author
  • E. A. Yusupov
  • H. I. Sotvoldiev
  • B. S. Azamxonov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1095)

Abstract

The article deals with the construction of sustainable algorithms for calculating the coefficients of the adaptive controller, identifying the parameters of the object and diagnosing its state within the objectives of synthesizing a system of suboptimal control of dynamic objects. When finding the coefficients of the regulator, a pseudo-inversion algorithm is used using skeletal decomposition of matrices. Identification algorithms are based on local optimization in accordance with the principle of separation. The solution of the problem of diagnosis is based on the analysis of the updating sequence of the Kalman filter.

Keywords

Dynamic object Suboptimal control Identification Diagnosis Robust synthesis algorithms 

References

  1. 1.
    Igamberdiev, H.Z., Abdurakhmanova, Yu.M., Mamirov, U.F.: Regular algorithms for state estimation of quasilinear control objects in apriori uncertainity. In: The 11th International Conference on Multimedia Information Technology and Applications (MITA 2015), Korea, pp. 196–198. IEEE Press (2015)Google Scholar
  2. 2.
    Himmelblau, D.M.: Fault Detection and Diagnosis in Chemical and Petrochemical Processes. Elsevier Scientific/Oxford, Amsterdam/New York (1978)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Tashkent State Technical UniversityTashkentUzbekistan
  2. 2.Fergana Branch of the Tashkent University of Information TechnologiesFerganaUzbekistan
  3. 3.Fergana Polytechnic InstituteFerganaUzbekistan

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