Stability analysis and stabilization of linear symmetric matrix-valued continuous, discrete, and impulsive dynamical systems

A unified approach for the stability analysis and the stabilization of linear systems


METADATA ONLY
Loading...

Author / Producer

Date

2022-11

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric
METADATA ONLY

Data

Rights / License

Abstract

Matrix-valued dynamical systems are an important class of systems that can describe important processes such as covariance/second-order moment processes, or processes on manifolds and Lie Groups. We address here the case of processes that leave the cone of positive semidefinite matrices invariant, thereby including covariance and second-order moment processes. Both the continuous-time and the discrete-time cases are first considered. In the LTV case, the obtained stability and stabilization conditions are expressed as differential and difference Lyapunov conditions which are equivalent, in the LTI case, to some spectral conditions for the generators of the processes. Convex stabilization conditions are also obtained in both the continuous-time and the discrete time-setting. It is proven that systems with constant delays are stable provided that the systems with zero-delays are stable-which mirrors existing results for linear positive systems. The results are then extended and unified into an impulsive formulation for which similar results are obtained. The proposed framework is very general and can recover and/or extend many of the existing results in the literature on linear systems related to (mean-square) exponential (uniform) stability. Several examples are discussed to illustrate this claim by deriving stability conditions for stochastic systems driven by Brownian motion and Poissonian jumps, Markov jump systems, (stochastic) switched systems, (stochastic) impulsive systems, (stochastic) sampled-data systems, and all their possible combinations. (c) 2022 Elsevier Ltd. All rights reserved.

Permanent link

Publication status

published

Editor

Book title

Volume

46

Pages / Article No.

101242

Publisher

Elsevier

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Matrix-valued dynamical systems; Lyapunov methods; Stochastic processes; Stabilization; LMIs

Organisational unit

03921 - Khammash, Mustafa / Khammash, Mustafa check_circle

Notes

Funding

Related publications and datasets