Research on probabilistic methods for control system design
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 t...
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| Veröffentlicht in: | Automatica (Oxford) 2011-07, Vol.47 (7), p.1279-1293 |
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| container_title | Automatica (Oxford) |
| container_volume | 47 |
| creator | Calafiore, Giuseppe C. Dabbene, Fabrizio Tempo, Roberto |
| description | 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. |
| doi_str_mv | 10.1016/j.automatica.2011.02.029 |
| format | Article |
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| fulltext | fulltext |
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| ispartof | Automatica (Oxford), 2011-07, Vol.47 (7), p.1279-1293 |
| issn | 0005-1098 1873-2836 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Computer science control theory systems Control of uncertain systems Control system synthesis Control systems Control systems design Control theory. Systems Design engineering Exact sciences and technology Optimization Probabilistic methods Randomization Randomized algorithms Uncertainty |
| title | Research on probabilistic methods for control system design |
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