A redesign methodology generating predefined-time differentiators with bounded time-varying gains

Rodrigo Aldana-López, Richard Seeber, David Gómez-Gutiérrez*, Marco Tulio Angulo, Michael Defoort

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

There is an increasing interest in designing differentiators, which converge exactly before a prespecified time regardless of the initial conditions, that is, which are fixed-time convergent with a predefined upper bound of their settling time (UBST), due to their ability to solve estimation and control problems with time constraints. However, for the class of signals with a known bound of their (Formula presented.) th time derivative, the existing design methodologies yield a very conservative UBST, or result in gains that tend to infinity at the convergence time. Here, we introduce a new methodology based on time-varying gains (TVG) to design arbitrary-order exact differentiators with a predefined UBST. This UBST is a priori set as one parameter of the algorithm. Our approach guarantees that the UBST can be set arbitrarily tight, and we also provide sufficient conditions to obtain exact convergence while maintaining bounded TVG. Additionally, we provide necessary and sufficient conditions such that our approach yields error dynamics with a uniformly Lyapunov stable equilibrium. Our results show how TVG offer a general and flexible methodology to design algorithms with a predefined UBST.

Original languageEnglish
Number of pages16
JournalInternational Journal of Robust and Nonlinear Control
Early online date2022
DOIs
Publication statusE-pub ahead of print - 2022

Keywords

  • exact differentiators
  • finite-time stability
  • fixed-time stability
  • prescribed-time
  • unknown input observers

ASJC Scopus subject areas

  • Mechanical Engineering
  • Aerospace Engineering
  • Chemical Engineering(all)
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Biomedical Engineering

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