Diego Napp

Prof. Dr. Diego Napp

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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in Linear Algebra and its Applications
Verified
Journal Article
Closed access
PAPaulo Almeida
Paulo Almeida
DNDiego Napp
Diego Napp
RPR. Pinto
R. Pinto

1 June 2016 in Linear Algebra and its Applications
Verified
Journal Article
Closed access
PAP.J. Almeida
P.J. Almeida
DNDiego Napp
Diego Napp
RPR. Pinto
R. Pinto

7 March 2012 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
MRMustapha Ait Rami
Mustapha Ait Rami
DNDiego Napp
Diego Napp
This note addresses two problems: the characterization of positivity of autonomous descriptor systems and the problem of finding conditions for their stability. For these fundamental issues, we provide necessary and sufficient conditions complemented with a numerically reliable computational approach. The given conditions can be checked by means of linear programming (LP). Also, we derive a necessary and sufficient condition for stability that is connected to the underlying eigenstructure of the system.

1 January 2014 in Automatica
Verified
Journal Article
Closed access
MRMustapha Ait Rami
Mustapha Ait Rami
DNDiego Napp
Diego Napp

1 November 2011 in Automatica
Verified
Journal Article
Closed access
DNDiego Napp
Diego Napp
PRPaolo Rapisarda
Paolo Rapisarda
PRPaula Rocha
Paula Rocha

1 June 2015 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
MRMustapha Ait Rami
Mustapha Ait Rami
DNDiego Napp
Diego Napp
The aim of this technical note is to provide an efficient control design technique for discrete-time positive periodic systems. In particular, stability, positivity and periodic invariance of such systems are studied. Moreover, the concept of periodic invariance with respect to a collection of boxes is introduced and investigated with connection to stability. It is shown how such concept can be used for deriving a stabilizing state-feedback control that maintains the positivity of the closed-loop system and respects states and control signals constraints. In addition, all the proposed results can be efficiently solved in terms of linear programming.