Probabilistic and Randomized Methods for Design under Uncertainty
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Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world's leading experts in a fast-emerging branch of control engineering and operations research. The book will be bought by university researchers and lecturers along with graduate students in control engineering and operational research.
Drs. Giuseppe Calafiore and Fabrizio Dabbene work at the Politecnico di Torino, Italy, where Dr. Calafiore is an associate professor and Dr. Dabbene is a research fellow. Dr. Calafiore is an associate editor of IEEE Transactions on Systems, Man and Cybernetics and Dr. Dabbene is an associate editor of the conference editorial board of the IEEE Control Systems Society. Dr. Calafiore has published 60+ journal papers and both editors are co-authors of Randomized Algorithms for Analysis and Control of Uncertain Systems (Tempo, Calafiore and Dabbene, Springer-Verlag London, 2004).
In this edited work, Calafiore and Dabbene have brought together contributions from the world's leading experts in randomised methods as applied to robust design from both control and optimisation angles. The selection of authors is fully international and includes 15 from the United States.
Autor: | Giuseppe Calafiore, Fabrizio Dabbene |
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EAN: | 9781846280955 |
eBook Format: | |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 06.03.2006 |
Kategorie: | |
Schlagworte: | Analysis Stochastic Optimization Stochastic model Stochastic modelling control engineering modeling operations research optimization |
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