Probabilistic robustness analysis: Explicit bounds for the minimum number of samples

From MaRDI portal
Publication:1391598

DOI10.1016/S0167-6911(97)00005-4zbMath0901.93017OpenAlexW2180359187MaRDI QIDQ1391598

D. Massart

Publication date: 22 July 1998

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

Full work available at URL: https://doi.org/10.1016/s0167-6911(97)00005-4




Related Items (40)

A probabilistic framework for problems with real structured uncertainty in systems and controlRobust control of nonlinear systems with parametric uncertaintyA survey of randomized algorithms for control synthesis and performance verificationPolynomial-time probabilistic observability analysis of sampled-data piecewise affine systemsProbabilistic sorting and stabilization of switched systemsPolynomial-time algorithms for probabilistic solutions of parameter-dependent linear matrix inequalitiesA randomized approach to sensor placement with observability assuranceLeast costly identification experiment for controlProbabilistic performance validation of deep learning‐based robust NMPC controllersA random least-trimmed-squares identification algorithmWorst-case violation of sampled convex programs for optimization with uncertaintyA framework for optimization under limited informationProbabilistic design of LPV control systems.Stability properties of multi-stage nonlinear model predictive controlComputational complexity of randomized algorithms for solving parameter-dependent linear matrix inequalities.Randomized sampling for large zero-sum gamesUnified treatment of robust stability conditions for discrete-time systems through an infinite matrix frameworkControl design with hard/soft performance specifications: aQ-parameter randomization approachOutliers, inliers and the generalized least trimmed squares estimator in system identificationProbabilistic output admissible set for systems with time-varying uncertaintiesA sampling-and-discarding approach to chance-constrained optimization: feasibility and OptimalityOn the binomial confidence interval and probabilistic robust controlProbabilistic robust design with linear quadratic regulatorsFrom experiment design to closed-loop controlRandomized algorithms for robust controller synthesis using statistical learning theoryProbabilistic solutions to some NP-hard matrix problemsStatistical Learning Theory: A Pack-based Strategy for Uncertain Feasibility and Optimization ProblemsResearch on probabilistic methods for control system designA primal--dual probabilistic setting for quadratic stability of uncertain systemsMonte Carlo and Las Vegas randomized algorithms for systems and control. An introductionRandomized algorithms for robust controller synthesis using statistical learning theory: a tutorial overviewDiscussion on: ``Why is resorting to fate wise? A critical look at randomized algorithms in systems and controlDistributed randomized algorithms for probabilistic performance analysisReliability Modeling of Fault Tolerant Control SystemsWorst-case properties of the uniform distribution and randomized algorithms for robustness analysisRobustness of feedback stabilization of quasi non-integrable Hamiltonian systems with parametric uncertaintyLebesgue piecewise affine approximation of nonlinear systemsRandomized methods for design of uncertain systems: sample complexity and sequential algorithmsStatistical learning methods in linear algebra and control problems: The example of finite-time control of uncertain linear systemsAverage H 2 control by randomized algorithms



Cites Work


This page was built for publication: Probabilistic robustness analysis: Explicit bounds for the minimum number of samples