A novel approach based on probability and randomization has emerged to synergize with the standard deterministic methods for control of systems with uncertainty. The main objective of this paper is to provide a broad perspective on this area of research known as 'probabilistic robust control', and to address in a systematic manner recent advances. The focal point is on design methods, based on the interplay between uncertainty randomization and convex optimization, and on the illustration of specific control applications.

Research on probabilistic methods for control system design

F Dabbene;R Tempo
2011

Abstract

A novel approach based on probability and randomization has emerged to synergize with the standard deterministic methods for control of systems with uncertainty. The main objective of this paper is to provide a broad perspective on this area of research known as 'probabilistic robust control', and to address in a systematic manner recent advances. The focal point is on design methods, based on the interplay between uncertainty randomization and convex optimization, and on the illustration of specific control applications.
2011
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
47
7
1279
1293
http://www.sciencedirect.com/science/article/pii/S0005109811001300
Sì, ma tipo non specificato
Randomized algorithms
Control of uncertain systems
Optimization
3rd "most downloaded paper" for Automatica in the year 2011 (see http://top25.sciencedirect.com/subject/engineering/12/journal/automatica/00051098/archive/36/)
3
info:eu-repo/semantics/article
262
G. C. Calafiore; F. Dabbene; R. Tempo
01 Contributo su Rivista::01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/50161
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