Impulsive Adaptive Control for Uncertain Linear Systems

View at publisher
Authors: Xuegang Tan, Jinde Cao, Xinsong Yang, Simone Baldi
Cited by: 0
References: 48

Abstract

Abstract. This paper proposes an impulsive adaptive control (IAC) law for stabilization of uncertain linear systems. Available impulsive control results are based on impulsive fixed-gain control, where the impulsive control gain is tightly coupled with the system parameters and the impulsive frequency, thus limiting the capability to tackle uncertainty. Instead of a fixed gain, the proposed control law adaptively updates the gain at impulsive instants. The fact that adaptation occurs at discrete time instants can result in a more practical implementation as compared to IAC with continuous-time adaptation, i.e., requiring one to solve adaptive equations in a continuous fashion. Stability conditions for the proposed IAC protocol are established, showing less conservatism than impulsive fixed-gain control and more capability to handle uncertainties in the system and in the impulsive frequency. Numerical comparisons further verify the effectiveness of the proposed IAC scheme.

Fields of Study & Subjects

Advanced Adaptive Filtering Techniques Adaptive Control of Nonlinear Systems Adaptive Dynamic Programming Control

Publication details

Journal / source
SIAM Journal on Control and Optimization
Volume
64
Issue
1
Pages
152–174
Publication date
9 January 2026
Language
EN