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<p>In the work, we propose an approach to feedback control for nonlinear objects with lumped parameters, which involves dividing the entire set of the object’s potential phase states into a finite number of subsets or zones. In this approach, the synthesized controls are based not on the measured phase state values directly but on the zonal values of the parameters corresponding to the zone associated with the current and past object’s measured states. We have derived the necessary optimality conditions for zonal values of feedback control parameters. We also conducted computational experiments on various test problems, and they confirmed the efficiency of the proposed approach to controlling nonlinear dynamic objects.</p>

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Synthesis of Zonal Controls Using Information About the History of the Object’s State

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • K. R. Aidazade,
  • S. Z. Guliyev

摘要

In the work, we propose an approach to feedback control for nonlinear objects with lumped parameters, which involves dividing the entire set of the object’s potential phase states into a finite number of subsets or zones. In this approach, the synthesized controls are based not on the measured phase state values directly but on the zonal values of the parameters corresponding to the zone associated with the current and past object’s measured states. We have derived the necessary optimality conditions for zonal values of feedback control parameters. We also conducted computational experiments on various test problems, and they confirmed the efficiency of the proposed approach to controlling nonlinear dynamic objects.