Probabilistic and randomized methods for design under uncertainty
In many engineering design and optimization problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to describe this uncertainty and adopt a variety of techniques to devise designs that are at least partly insensitive or r...
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| Andere auteurs: | , |
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| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
London :
Springer London
[20..].
Cham : Springer Nature |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| Edition sous un autre format: | • Probabilistic and Randomized Methods for Design under Uncertainty, Texte imprimé, 9781846280948 |
| LEADER | 04657nam a22003257a 4500 | ||
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| 082 | |a 629.8 | ||
| 245 | 0 | 0 | |a Probabilistic and randomized methods for design under uncertainty |c edited by Giuseppe Calafiore, Fabrizio Dabbene. |
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Chance-Constrained and Stochastic Optimization Scenario Approximations of Chance Constraints Optimization Models with Probabilistic Constraints Theoretical Framework for Comparing Several Stochastic Optimization Approaches Optimization of Risk Measures Robust Optimization and Random Sampling Sampled Convex Programs and Probabilistically Robust Design Tetris: A Study of Randomized Constraint Sampling Near Optimal Solutions to Least-Squares Problems with Stochastic Uncertainty The Randomized Ellipsoid Algorithm for Constrained Robust Least Squares Problems Randomized Algorithms for Semi-Infinite Programming Problems Probabilistic Methods in Identification and Control A Learning Theory Approach to System Identification and Stochastic Adaptive Control Probabilistic Design of a Robust Controller Using a Parameter-Dependent Lyapunov Function Probabilistic Robust Controller Design: Probable Near Minimax Value and Randomized Algorithms Sampling Random Transfer Functions Nonlinear Systems Stability via Random and Quasi-Random Methods Probabilistic Control of Nonlinear Uncertain Systems Fast Randomized Algorithms for Probabilistic Robustness Analysis | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In many engineering design and optimization problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to describe this uncertainty and adopt a variety of techniques to devise designs that are at least partly insensitive or robust to uncertainty. Probabilistic and Randomized Methods for Design under Uncertainty examines uncertain systems in control engineering and general decision or optimization problems for which data is not known exactly. Gathering contributions from the world s leading researchers in optimization and robust control; this book highlights the interactions between these two fields, and focuses on new randomised and probabilistic techniques for solving design problems in the presence of uncertainty: Part I describes general theory and solution methodologies for probability-constrained and stochastic optimization problems, including chance-constrained optimization, stochastic optimization and risk measures; Part II focuses on numerical methods for solving randomly perturbed convex programs and semi-infinite optimization problems by probabilistic techniques such as constraint sampling and scenario-based optimization; Part III details the theory and applications of randomized techniques to the analysis and design of robust control systems. Probabilistic and Randomized Methods for Design under Uncertainty will be of interest to researchers, academics and postgraduate students in control engineering and operations research as well as professionals working in operations research who are interested in decision-making, optimization and stochastic modeling | ||
| 700 | 1 | |a Calafiore, Giuseppe, |d 1969- |4 pbd | |
| 700 | 1 | |a Dabbene, Fabrizio, |d 1968- |4 pbd | |
| 776 | 0 | |t Probabilistic and Randomized Methods for Design under Uncertainty |b Texte imprimé |z 9781846280948 | |
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| 997 | |0 938212 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||