Interval predictor models: identification and reliability

DOI10.1016/j.automatica.2008.09.004zbMath1158.93322OpenAlexW2150664153MaRDI QIDQ1012735

Simone Garatti, Giuseppe Carlo Calafiore, Marco C. Campi

Publication date: 22 April 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2008.09.004

zbMATH Keywords

convex optimizationstatistical learningmodel identificationset-valued modelsinterval prediction

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) System identification (93B30) General methods in interval analysis (65G40)

Related Items (20)

Scenario Min-Max Optimization and the Risk of Empirical Costs ⋮ Approximate Bayesian Prediction Using State Space Model with Uniform Noise ⋮ FAST—Fast Algorithm for the Scenario Technique ⋮ Stealthy output injection attacks on control systems with bounded variables ⋮ On Conditional Risk Assessments in Scenario Optimization ⋮ Calibration of a radiation quality model for sparse and uncertain data ⋮ Unnamed Item ⋮ Wait-and-judge scenario optimization ⋮ Expected shortfall: heuristics and certificates ⋮ Learning noisy functions via interval models ⋮ Research on probabilistic methods for control system design ⋮ On a class of interval predictor models with universal reliability ⋮ Set-membership identification and fault detection using a Bayesian framework ⋮ Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies ⋮ Frequentist history matching with interval predictor models ⋮ Fault Diagnosis Using Set-Membership Approaches ⋮ Identification for passive robust fault detection using zonotope-based set-membership approaches ⋮ Valid inferential models for prediction in supervised learning problems ⋮ Application of interval predictor model into robust model predictive control ⋮ Risk and complexity in scenario optimization

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