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The primary objective of output regulation is to control the system's output effectively, ensuring asymptotic tracking of a desired reference trajectory while rejecting disturbances originating from an exo-system, all while maintaining closed-loop stability. Designing controllers to achieve this regulation typically requires solving a set of nonlinear system of equations. However, solving these partial differential equations can be numerically challenging, particularly when electromechanical systems are modeled using the Euler–Lagrange formulation, leading to the development of nonlinear descriptor systems.

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Research of Nonlinear Output Regulation for Systems Described by TakagiSugeno Fuzzy Descriptor Models and LMI for the Optimization and Implementation of a Clamp Mechanism

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  • 发表日期：

    2025年

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  • Luis Alberto Poblete-Salinas,
  • Juan Alfonso Beltrán-Fernández,
  • Mauricio González-Rebattú y González,
  • Juan Carlos Hermida-Ochoa,
  • Alejandro Tonatiu Velázquez-Sánchez,
  • Erik Omar Alvarado-Alcántara,
  • Karen Pamela Vázquez-Thierry,
  • Pablo Moreno-Garibaldi,
  • Cassandra Anahí Hernández-Copca

摘要

The primary objective of output regulation is to control the system's output effectively, ensuring asymptotic tracking of a desired reference trajectory while rejecting disturbances originating from an exo-system, all while maintaining closed-loop stability. Designing controllers to achieve this regulation typically requires solving a set of nonlinear system of equations. However, solving these partial differential equations can be numerically challenging, particularly when electromechanical systems are modeled using the Euler–Lagrange formulation, leading to the development of nonlinear descriptor systems.