Robust hybrid zero-order optimization algorithms with acceleration via averaging in time
From MaRDI portal
Publication:2662325
DOI10.1016/j.automatica.2020.109361zbMath1461.93234arXiv1909.00265OpenAlexW3108573827MaRDI QIDQ2662325
Publication date: 12 April 2021
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.00265
Feedback control (93B52) Applications of optimal control and differential games (49N90) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)
Related Items (10)
100 years of extremum seeking: a survey ⋮ A novel extremum seeking control to enhance convergence and robustness in the presence of nonlinear dynamic sensors ⋮ A distributed extremum seeking based resource allocation algorithm over switching networks ⋮ Uniting Nesterov and heavy ball methods for uniform global asymptotic stability of the set of minimizers ⋮ Learning generalized Nash equilibria in monotone games: a hybrid adaptive extremum seeking control approach ⋮ A new one-point residual-feedback oracle for black-box learning and control ⋮ Robustness and averaging properties of a large-amplitude, high-frequency extremum seeking control scheme ⋮ A hybrid dynamical systems perspective on reinforcement learning for cyber-physical systems: vistas, open problems, and challenges ⋮ High-performance optimal incentive-seeking in transactive control for traffic congestion ⋮ Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- First-order methods of smooth convex optimization with inexact oracle
- Analysis for a class of singularly perturbed hybrid systems via averaging
- A framework for a class of hybrid extremum seeking controllers with dynamic inclusions
- On non-local stability properties of extremum seeking control
- Dynamical properties of hybrid systems simulators
- Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties.
- Restarting algorithms: sometimes there is free lunch
- Newton-based extremum seeking: a second-order Lie bracket approximation approach
- Adaptive restart for accelerated gradient schemes
- Multivariable Newton-based extremum seeking
- Extremum seeking with bounded update rates
- A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
- Smooth Optimization with Approximate Gradient
- Real‐Time Optimization by Extremum‐Seeking Control
- A variational perspective on accelerated methods in optimization
- Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems
- Extremum Seeking for Static Maps With Delays
- Extremum-Seeking in Singularly Perturbed Hybrid Systems
- A Framework for Extremum Seeking Control of Systems With Parameter Uncertainties
This page was built for publication: Robust hybrid zero-order optimization algorithms with acceleration via averaging in time
