Title
Bounds for the remainders of uncertain matrix exponential and sampled-data control of polytopic linear systems.
Abstract
This paper determines an explicit upper bound to the norm of any given degree of the Taylor’s expansion remainder for the matrix exponential function. It depends on the spectral norm and the corresponding measure of a square matrix. The generalization to cope with uncertain polytopic matrices follows from the definition of a norm and a measure for this mathematical entity and the determination of the corresponding upper bound for the expansion remainder. Naturally, the results are applied to robust stability analysis and state feedback control synthesis of sampled-data polytopic systems. It is shown that a sampled-data uncertain system obtained from a continuous-time polytopic one can be expressed (through a nonconservative sufficient condition) by a feedback interconnection of a discrete-time polytopic system and a norm bounded linear operator. Academical examples illustrate the theoretical results.
Year
DOI
Venue
2017
10.1016/j.automatica.2017.04.057
Automatica
Keywords
Field
DocType
Uncertain polytopic system,Taylor’s expansion remainder,Sampling discretization,Exponential uncertainty
Mathematical optimization,Bounded operator,Linear system,Control theory,Upper and lower bounds,Matrix (mathematics),Remainder,Square matrix,Matrix norm,Matrix exponential,Mathematics
Journal
Volume
Issue
ISSN
82
1
0005-1098
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Marc Jungers116322.01
Grace S. Deaecto213015.29
José Claudio Geromel316436.34