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Enhanced Accuracy of Adaptive Observers via the Heavy–Ball Method

Memorias del Congreso Nacional de Control Automático
This paper proposes a heavy–ball algorithm–based adaptive observer for the simultaneous estimation of states and constant parameters in a class of uncertain nonlinear systems subject to external disturbances. The estimator integrates a Luenberger–like observer for state estimation with a heavy–ball–inspired optimization algorithm to identify unknown ...
Héctor Ríos   +3 more
openaire   +1 more source

Heavy-ball method in nonconvex optimization problems

Computational Mathematics and Modeling, 1993
S. K. Zavriev, F. V. Kostyuk
openaire   +1 more source

Heavy-ball-based hard thresholding algorithms for sparse signal recovery

Journal of Computational and Applied Mathematics, 2023
Yun-Bin Zhao, Nan Meng
exaly  

Tikhonov Regularization of a Perturbed Heavy Ball System with Vanishing Damping

SIAM Journal on Optimization, 2021
László Szilárd Csaba   +1 more
exaly  

On the convergence of the Stochastic Heavy Ball Method.

CoRR, 2020
Othmane Sebbouh   +2 more
openaire   +1 more source

Convergence of Momentum-Based Heavy Ball Method with Batch Updating and/or Approximate Gradients

2023 Ninth Indian Control Conference (ICC), 2023
Tadipatri Uday Kiran Reddy   +1 more
openaire   +1 more source

Continuous-Time Heavy-Ball Gradient Method: Safety, Stability and Robustness

IEEE Control Systems Letters
Karthik Shenoy   +2 more
openaire   +2 more sources

On Adaptive Stochastic Heavy Ball Momentum for Solving Linear Systems

SIAM Journal on Matrix Analysis and Applications
Deren Han, Jiaxin Xie
exaly  

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