Dynamic backstepping control for pure-feedback nonlinear systems

TL;DR

This paper introduces a dynamic backstepping control method for pure-feedback nonlinear systems that overcomes the limitations of traditional backstepping by augmenting virtual controls as states, ensuring stability and effectiveness.

Contribution

It presents a novel dynamic backstepping approach that avoids solving implicit equations, enhancing controller design for pure-feedback nonlinear systems.

Findings

Achieves uniformly asymptotic stability under certain conditions.

Demonstrates effectiveness through stabilization and tracking examples.

Provides detailed recursive controller design procedure.

Abstract

A dynamic backstepping method is proposed to design controllers for nonlinear systems in the pure-feedback form, for which the traditional backstepping method suffers from solving the implicit nonlinear algebraic equation. The idea of this method is to augment the (virtual) controls as states during each recursive step. As new dynamics are included in the design, the resulting controller is in the dynamic feedback form. Procedure of deriving the controller is detailed, and one more Lyapunov design is executed in each step compared with the traditional backstepping method. Under appropriate assumptions, the proposed control scheme achieves the uniformly asymptotically stability. The effectiveness of this method is illustrated by the stabilization and tracking numerical examples.