A non-gradient approach to global extremum seeking: an adaptation of the Shubert algorithm

DOI10.1016/J.AUTOMATICA.2012.12.004zbMath1269.49058OpenAlexW2129702562MaRDI QIDQ357565

Mohammad Hasan, M. Dambrine

Publication date: 30 July 2013

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://www.sciencedirect.com/science/article/pii/S0005109812006036

zbMATH Keywords

global optimizationLipschitz mappingsextremum seeking controlShubert's algorithm

Mathematics Subject Classification ID

Related Items (12)

Extremum seeking control of a nonholonomic system with sensor constraints ⋮ Unified frameworks for sampled-data extremum seeking control: global optimisation and multi-unit systems ⋮ Almost sure convergence of extremum seeking algorithm using stochastic perturbation ⋮ Sampled-data extremum-seeking framework for constrained optimization of nonlinear dynamical systems ⋮ Semi-global stability analysis of source seeking with dynamic sensor reading and a class of nonlinear maps ⋮ Extremum seeking of dynamical systems via gradient descent and stochastic approximation methods ⋮ A proportional integral extremum-seeking control approach for discrete-time nonlinear systems ⋮ Numerical optimization‐based extremum seeking control of a class of constrained nonlinear systems via finite‐time state transition ⋮ 100 years of extremum seeking: a survey ⋮ Extremum seeking-based adaptive control for electromagnetic actuators ⋮ A robust extremum seeking scheme for dynamic systems with uncertainties and disturbances ⋮ Multidimensional global extremum seeking via the DIRECT optimisation algorithm

This page was built for publication: A non-gradient approach to global extremum seeking: an adaptation of the Shubert algorithm