Extremum seeking of dynamical systems via gradient descent and stochastic approximation methods-Reference-Cited by-同舟云学术

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Extremum seeking of dynamical systems via gradient descent and stochastic approximation methods

Published:2015-06 Issue: Volume:56 Page:44-52
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Khong Sei Zhen,Tan Ying,Manzie Chris,Nešić Dragan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference31 articles.

1. Real-time optimization by extremum seeking control;Ariyur,2003

2. Stochastic source seeking by mobile robots;Azuma;IEEE Transactions on Automatic Control,2012

3. Neuro-dynamic programming;Bertsekas,1996

4. Multidimensional stochastic approximation methods;Blum;The Annals of Mathematical Statistics,1954

5. Convex optimization;Boyd,2004

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1. A Time-Delay Approach to Multi-Variable Extremum Seeking with Measurement Noise;2024 European Control Conference (ECC);2024-06-25

2. Multi-UAV Cooperative Online Searching Based on Voronoi Diagrams;IEEE Transactions on Aerospace and Electronic Systems;2024-06

3. Fast Extremum Seeking Control for a Class of Generalized Hammerstein Systems with the Knowledge of Relative Degree;2023 American Control Conference (ACC);2023-05-31

4. Multiagent Online Source Seeking Using Bandit Algorithm;IEEE Transactions on Automatic Control;2023-05

5. Nonsmooth optimization by Lie bracket approximations into random directions;Systems & Control Letters;2023-04

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