# Discrete-time $H_2$ and $H_\infty$ low-gain theory

Xu Wang, Antonie Arij Stoorvogel, Ali Saberi, Peddapullaiah Sannuti

6 Citations (Scopus)

## Abstract

For stabilization of linear systems subject to input saturation, there exist four different approaches of low-gain design all of which are independently proposed in the literature, namely direct eigenstructure assignment, $H_2$ and $H_\infty$ algebraic Riccati equation (ARE) based methods, and parametric Lyapunov equation based method. It is shown in earlier work that for continuous-time linear systems, all these methods are rooted in and can be unified under two fundamental control theories, $H_2$ and $H_\infty$ theory. In this paper, we extend such a result to a discrete-time setting. Both the $H_2$ and $H_\infty$ ARE-based methods are generalized to consider systems where all input channels are not necessarily subject to saturation, and explicit design methods are developed.
Original language Undefined 743-762 20 International journal of robust and nonlinear control 22 7 https://doi.org/10.1002/rnc.1721 Published - 2012

## Keywords

• low-grain theory
• EWI-21694
• H∞ optimal control
• Constrained Control
• METIS-289634
• IR-79973
• H2 optimal control