AIMS Mathematics (Aug 2024)

Prescribed-time stabilization of nonlinear systems with uncertainties/disturbances by improved time-varying feedback control

  • Lichao Feng,
  • Mengyuan Dai,
  • Nan Ji,
  • Yingli Zhang,
  • Liping Du

DOI
https://doi.org/10.3934/math.20241159
Journal volume & issue
Vol. 9, no. 9
pp. 23859 – 23877

Abstract

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We address the prescribed-time stability of a class of nonlinear system with uncertainty/disturbance. With the help of the parametric Lyapunov equation (PLE), we designed a state feedback control to regulate the full-state of a controlled system within prescribed time, independent of initial conditions. The result illustrated that the controlled state converges to zero as $t$ approaches the settling time and remains zero thereafter. It was further proved that the controller is bounded by a constant that depends on the system state. A numerical example is presented to verify the validity of the theoretical results.

Keywords