Imperial College London
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DrGiordanoScarciotti

Faculty of Engineering, Department of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6268g.scarciotti Website

 
 
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Location

 

1118Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Scarciotti:2017:10.23919/ACC.2017.7963485,
author = {Scarciotti, G and Teel, AR and Astolfi, A},
doi = {10.23919/ACC.2017.7963485},
publisher = {IEEE},
title = {Model reduction for linear differential inclusions: robustness and time-variance},
url = {http://dx.doi.org/10.23919/ACC.2017.7963485},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This   paper   deals   with   the   problem   of   modelreduction by moment matching for linear differential inclusions.The problem is formally formulated and the notions of moment-set,  perturbed  moment  trajectory,  approximate  reduced  ordermodel  and  robust  reduced  order  model  are  introduced.  Twosets  of  results  are  presented.  The  first  part  of  the  paper  dealswith  robustness  of  the  reduced  order  models  with  respect  toinput  perturbations.  Exploiting  this  result  an  enhanced  modelreduction scheme for linear differential equations is presented.In  the  second  part  of  the  paper  we  focus  on  the  problem  ofmodel reduction by moment matching for time-varying systemsdriven by time-varying signal generators. Finally, these two setsof  results  are  used  to  solve  the  problem  of  model  reductionfor  linear  differential  inclusions.  The  results  are  illustrated  bymeans  of  numerical  examples.
AU  - Scarciotti,G
AU  - Teel,AR
AU  - Astolfi,A
DO  - 10.23919/ACC.2017.7963485
PB  - IEEE
PY  - 2017///
SN  - 2378-5861
TI  - Model reduction for linear differential inclusions: robustness and time-variance
UR  - http://dx.doi.org/10.23919/ACC.2017.7963485
UR  - http://hdl.handle.net/10044/1/44186
ER  -
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