Learning noisy functions via interval models

DOI10.1016/j.sysconle.2010.05.003zbMath1198.93232OpenAlexW2040324073MaRDI QIDQ709215

Giuseppe Carlo Calafiore

Publication date: 18 October 2010

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2010.05.003

zbMATH Keywords

identificationconvex optimizationstatistical learninginterval approximationset-valued models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Identification in stochastic control theory (93E12) Stochastic learning and adaptive control (93E35)

Related Items (2)

Research on probabilistic methods for control system design ⋮ On a class of interval predictor models with universal reliability

Cites Work

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• The Scenario Approach to Robust Control Design
• Set-valued analysis
• A simple sampling lemma: Analysis and applications in geometric optimization

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