Almost sure convergence of extremum seeking algorithm using stochastic perturbation
From MaRDI portal
Publication:313311
DOI10.1016/J.SYSCONLE.2016.06.005zbMath1344.93112OpenAlexW2461230451MaRDI QIDQ313311
Miloje S. Radenkovic, Jae-Do Park
Publication date: 9 September 2016
Published in: Systems \& Control Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sysconle.2016.06.005
Related Items (2)
Extremum seeking boundary control for PDE-PDE cascades ⋮ Extremum Seeking Control with Two-Sided Stochastic Perturbations
Cites Work
- Unnamed Item
- A non-gradient approach to global extremum seeking: an adaptation of the Shubert algorithm
- Fast extremum-seeking for Wiener-Hammerstein plants
- Finite-horizon LQ control for unknown discrete-time linear systems via extremum seeking
- Newton-based stochastic extremum seeking
- Extremum seeking under stochastic noise and applications to mobile sensors
- On non-local stability properties of extremum seeking control
- Extremum seeking of dynamical systems via gradient descent and stochastic approximation methods
- On global extremum seeking in the presence of local extrema
- Stability of extremum seeking feedback for general nonlinear dynamic systems
- Performance improvement and limitations in extremum seeking control
- Discrete-time extremum-seeking for Wiener-Hammerstein plants
- On the choice of dither in extremum seeking systems: a case study
- A Minmax Extremum-Seeking Controller Design Technique
- Discrete Time Stochastic Adaptive Control
- Real‐Time Optimization by Extremum‐Seeking Control
- Extremum Seeking With Stochastic Perturbations
- Stochastic Averaging in Continuous Time and Its Applications to Extremum Seeking
- Extremum seeking control for discrete-time systems
- Semi-Global Stability Analysis of Observer-Based Extremum-Seeking for Hammerstein Plants
- A Framework for Extremum Seeking Control of Systems With Parameter Uncertainties
- Extremum Seeking for Constrained Inputs
- Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems
This page was built for publication: Almost sure convergence of extremum seeking algorithm using stochastic perturbation