On stochastic extremum seeking via adaptive perturbation-demodulation loop

DOI10.1007/s10957-018-1380-8zbMath1412.90144OpenAlexW2888949633MaRDI QIDQ1626541

Miloš S. Stanković, Srdjan S. Stanković, Miloje S. Radenkovic

Publication date: 27 November 2018

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-018-1380-8

zbMATH Keywords

almost sure convergencestochastic approximationsextremum seekingperturbation-demodulation

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Nonlinear robustified stochastic consensus seeking

Cites Work

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• Stopping rules for optimization algorithms based on stochastic approximation
• Extremum seeking under stochastic noise and applications to mobile sensors
• A one-measurement form of simultaneous perturbation stochastic approximation
• Stochastic approximation methods for constrained and unconstrained systems
• Randomized algorithms for stochastic approximation under arbitrary disturbances
• Multivariable Newton-based extremum seeking
• Adaptive stochastic approximation by the simultaneous perturbation method
• Stochastic Adaptive Stabilization via Extremum Seeking in Case of Unknown Control Directions
• Stochastic Averaging in Discrete Time and its Applications to Extremum Seeking
• Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
• Extremum Seeking With Stochastic Perturbations
• Extremum seeking control for discrete-time systems
• Adaptive System Optimization Using Random Directions Stochastic Approximation
• Stochastic Estimation of the Maximum of a Regression Function
• Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems