Extremum Seeking Nonovershooting Control of Strict-Feedback Systems Under Unknown Control Direction

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Authors: Kaixin Lu, Ziliang Lyu, Yanfang Mo, Yiguang Hong, Haoyong Yu
Cited by: 0

Abstract

This paper addresses the nonovershooting control problem for strict-feedback nonlinear systems with unknown control direction. We propose a method that integrates extremum seeking with Lie bracket-based design to achieve approximately nonovershooting tracking. The approach ensures that arbitrary reference trajectories can be tracked from below for any initial condition, with the overshoot reducible to arbitrarily small levels through parameter tuning. The method further provides a mechanism for enforcing high-relative-degree nonovershooting constraints in safety-critical scenarios involving unknown control directions.

Fields of Study & Subjects

Extremum Seeking Control Systems Adaptive Control of Nonlinear Systems Control and Stability of Dynamical Systems

Publication details

Journal / source
arXiv (Cornell University)
Publication date
15 January 2026
Document type
Preprint