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Extremum seeking for optimal control problems with unknown time‐varying systems and unknown objective functions

https://doi.org/10.1002/acs.3097
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Outgoing claims: the papers this work cites, builds on, or argues with.

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RF Linear Accelerators
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Learning‐based iterative modular adaptive control for nonlinear systems
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On extremum seeking controllers based on the Lie bracket approximation in domains with obstacles
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A constrained extremum‐seeking control approach
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Multi‐parametric extremum seeking‐based iterative feedback gains tuning for nonlinear control
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Constrained extremum seeking stabilization of systems not affine in control
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Bettering operation of Robots by learning
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Model-Free Stabilization by Extremum Seeking
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Adaptive optimal control for continuous-time linear systems based on policy iteration
inferredcites →https://doi.org/10.1016/j.automatica.2012.05.049openalex-snapshot
Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
inferredcites →https://doi.org/10.1016/j.automatica.2012.06.096openalex-snapshot
Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
inferredcites →https://doi.org/10.1016/j.automatica.2013.02.016openalex-snapshot
Lie bracket approximation of extremum seeking systems
inferredcites →https://doi.org/10.1016/j.automatica.2013.02.061openalex-snapshot
Extremum-seeking control for nonlinear systems with periodic steady-state outputs
inferredcites →https://doi.org/10.1016/j.automatica.2013.12.023openalex-snapshot
Newton-based stochastic extremum seeking
inferredcites →https://doi.org/10.1016/j.automatica.2014.02.015openalex-snapshot
Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics
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Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
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Iterative learning control based on extremum seeking
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Bounded extremum seeking with discontinuous dithers
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Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
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A proportional-integral extremum-seeking controller design technique
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Iterative learning impedance control for rehabilitation robots driven by series elastic actuators
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On a class of generating vector fields for the extremum seeking problem: Lie bracket approximation and stability properties
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Extremum seeking control with an adaptive dither signal
inferredcites →https://doi.org/10.1016/j.automatica.2019.04.010openalex-snapshot
Newton-based extremum seeking: A second-order Lie bracket approximation approach
inferredcites →https://doi.org/10.1016/j.ejcon.2013.05.015openalex-snapshot
Finite-horizon LQ control for unknown discrete-time linear systems via extremum seeking
inferredcites →https://doi.org/10.1016/j.neunet.2009.06.014openalex-snapshot
Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence
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Conjugate convex functions, duality, and optimal control problems I: Systems governed by ordinary differential equations
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Classical electrodynamics
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Adaptive iterative learning control of uncertain robotic systems
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Linear quadratic optimal learning control (LQL)
inferredcites →https://doi.org/10.1080/00207179.2014.964779openalex-snapshot
Extremum seeking-based adaptive control for electromagnetic actuators
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Design and simulation of extremum-seeking open-loop optimal control of current profile in the DIII-D tokamak
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Microwave Electronics
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Mixing enhancement in 2D magnetohydrodynamic channel flow by extremum seeking boundary control
inferredcites →https://doi.org/10.1109/acc.2010.5531522openalex-snapshot
Adaptive output optimal control algorithm for unknown system dynamics based on policy iteration
inferredcites →https://doi.org/10.1109/acc.2013.6580232openalex-snapshot
Simultaneous stabilization and optimization of unknown, time-varying systems
inferredcites →https://doi.org/10.1109/cdc.2013.6760498openalex-snapshot
Swinging up the Stephenson-Kapitza pendulum
inferredcites →https://doi.org/10.1109/mcs.2006.1636313openalex-snapshot
A survey of iterative learning control
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Control and optimization of batch processes
inferredcites →https://doi.org/10.1109/tac.2007.904255openalex-snapshot
Flatness-Based Extremum-Seeking Control Over Periodic Orbits
inferredcites →https://doi.org/10.1109/tac.2012.2225514openalex-snapshot
Minimum-Seeking for CLFs: Universal Semiglobally Stabilizing Feedback Under Unknown Control Directions
inferredcites →https://doi.org/10.1109/tac.2016.2620379openalex-snapshot
Batch-to-Batch Finite-Horizon LQ Control for Unknown Discrete-Time Linear Systems Via Stochastic Extremum Seeking
inferredcites →https://doi.org/10.1109/tcst.2014.2301172openalex-snapshot
Power Optimization for Photovoltaic Microconverters Using Multivariable Newton-Based Extremum Seeking
inferredcites →https://doi.org/10.1109/tnn.2011.2168538openalex-snapshot
Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method
inferredcites →https://doi.org/10.1109/tsmcb.2010.2043839openalex-snapshot
Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data
inferredcites →https://doi.org/10.1109/tsmcb.2011.2166384openalex-snapshot
Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators
inferredcites →https://doi.org/10.1109/tsmcc.2007.905759openalex-snapshot
Iterative Learning Control: Brief Survey and Categorization
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Formation Shape Control Based on Distance Measurements Using Lie Bracket Approximations
inferredcites →https://doi.org/10.2140/pjm.1968.24.525openalex-snapshot
Integrals which are convex functionals
inferredcites →https://doi.org/10.2140/pjm.1971.39.439openalex-snapshot
Integrals which are convex functionals. II
inferredcites →https://doi.org/10.23919/ecc.2018.8550280openalex-snapshot
A family of extremum seeking laws for a unicycle model with a moving target: theoretical and experimental studies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi Objectives Optimization of Wind Turbines' Power and Fatigue Loads Using Perturbation Free Extremum Seeking Control
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Editorial for the special issue on extremum seeking control: Theory and applications
inferred← citeshttps://doi.org/10.1016/j.automatica.2023.111481openalex-snapshot
100 years of extremum seeking: A survey
inferred← citeshttps://doi.org/10.1016/j.jfranklin.2025.108118openalex-snapshot
A data-ensemble-based approach for sample-efficient LQ control of linear time-varying systems
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Adaptive model tuning studies for non-invasive diagnostics and feedback control of plasma wakefield acceleration at FACET-II
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Multi objectives optimization of wind turbines’ power and fatigue loads using perturbation free extremum seeking control
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Adaptive autoencoder latent space tuning for more robust machine learning beyond the training set for six-dimensional phase space diagnostics of a time-varying ultrafast electron-diffraction compact accelerator
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Colloquium : Machine learning in nuclear physics
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Latent diffusion can map beam loss to two-dimensional phase-space projections
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Multi-Terminal Collaborative Distributed Garden Planning System Integrating CG Technology
inferred← citeshttps://doi.org/10.1109/mcs.2025.3646850openalex-snapshot
Adaptive Control Meets Deep Learning: EXTREMUM SEEKING IN LATENT SPACE WITH PARTICLE ACCELERATOR APPLICATIONS
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A Model-Free Optimal Control Method
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Bounded Extremum Seeking for Static Quadratic Maps Using Nonlinear Transformation and Lyapunov Method
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2022 Review of Data-Driven Plasma Science
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Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II
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Adaptive Machine Learning for Robust Diagnostics and Control of Time-Varying Particle Accelerator Components and Beams
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Adaptive Latent Space Tuning for Non-Stationary Distributions
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