Cover Image

Online Learning of Nonlinear Parametric Models under Non-smooth Regularization using EKF and ADMM

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Frascati, Lapo, Bemporad, Alberto
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Worst-case Nonlinear Regression with Error Bounds
by: Bemporad, Alberto
Published: (2026)

A Regularization and Active Learning Method for Identification of Quasi Linear Parameter Varying Systems
by: Mulagaleti, Sampath Kumar, et al.
Published: (2025)

An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization
by: Bemporad, Alberto
Published: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
by: Wang, Renzi, et al.
Published: (2026)

Online design of experiments by active learning for nonlinear system identification
by: Xie, Kui, et al.
Published: (2025)

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
by: Mulagaleti, Sampath Kumar, et al.
Published: (2025)

Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets
by: Mulagaleti, Sampath Kumar, et al.
Published: (2024)

Solving Multiparametric Generalized Nash Equilibrium Problems and Explicit Game-Theoretic Model Predictive Control
by: Hall, Sophie, et al.
Published: (2025)

An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022)

Learning disturbance models for offset-free reference tracking
by: Krupa, Pablo, et al.
Published: (2023)

NashOpt - A Python Library for Computing Generalized Nash Equilibria
by: Bemporad, Alberto
Published: (2025)

Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
by: Bemporad, Alberto, et al.
Published: (2025)

Learning generalized Nash equilibria from pairwise preferences
by: Krupa, Pablo, et al.
Published: (2026)

Dual MPC for quasi-Linear Parameter Varying systems
by: Mulagaleti, Sampath Kumar, et al.
Published: (2026)

Active Learning-Based Input Design for Angle-Only Initial Relative Orbit Determination
by: Xie, Kui, et al.
Published: (2025)

Learning Parametric Convex Functions
by: Schaller, Maximilian, et al.
Published: (2025)

Learning the MPC objective function from human preferences
by: Krupa, Pablo, et al.
Published: (2025)

Active Learning MPC Objective Functions from Preferences
by: Hasnaouy, Hasna El, et al.
Published: (2026)

Ensemble Kalman Inversion for Constrained Nonlinear MPC: An ADMM-Splitting Approach
by: Khalil, Ahmed, et al.
Published: (2025)

Constrained Performance Boosting Control for Nonlinear Systems via ADMM
by: Giacomelli, Gianluca, et al.
Published: (2025)

Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate
by: Mulagaleti, Sampath Kumar, et al.
Published: (2023)

Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems
by: Masti, Daniele, et al.
Published: (2023)

Robust Orientation Estimation with TRIAD-aided Manifold EKF
by: Sadananda, Arjun, et al.
Published: (2025)

Harmonic model predictive control for tracking sinusoidal references and its application to trajectory tracking
by: Krupa, Pablo, et al.
Published: (2023)

EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics
by: Rosafalco, Luca, et al.
Published: (2024)

Learning Low-Dimensional Embeddings for Black-Box Optimization
by: Busetto, Riccardo, et al.
Published: (2025)

Residual-Aware Distributionally Robust EKF: Absorbing Linearization Mismatch via Wasserstein Ambiguity
by: Jang, Minhyuk, et al.
Published: (2026)

Distributed Covariance Steering via Non-Convex ADMM for Large-Scale Multi-Agent Systems
by: Saravanos, Augustinos D., et al.
Published: (2026)

A Dynamically Weighted ADMM Framework for Byzantine Resilience
by: Vijay, Vishnu, et al.
Published: (2025)

Exact and Parametric Dynamical System Representation of Nonlinear Functions
by: Ohtsuka, Toshiyuki
Published: (2025)

Configuration-Constrained Tube MPC for Tracking
by: Badalamenti, Filippo, et al.
Published: (2024)

Data-Driven Model Reduction by Moment Matching for Linear and Nonlinear Parametric Systems
by: Zhang, Hanqing, et al.
Published: (2025)

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation
by: Que, Shuhao, et al.
Published: (2026)

Online Regularized Statistical Learning in Reproducing Kernel Hilbert Space With Non-Stationary Data
by: Zhang, Xiwei, et al.
Published: (2024)

Augmenting Inertial Motion Capture with SLAM Using EKF and SRUKF Data Fusion Algorithms
by: Azarbeik, Mohammad Mahdi, et al.
Published: (2023)

Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control
by: Srikanthan, Anusha, et al.
Published: (2024)

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
by: Mallick, Samuel, et al.
Published: (2024)

A Long-Short-Term Mixed-Integer Formulation for Highway Lane Change Planning
by: Reiter, Rudolf, et al.
Published: (2024)

Communication-Efficient Distributed Kalman Filtering using ADMM
by: Iqbal, Muhammad, et al.
Published: (2025)

Deep Reinforcement Learning Control for Disturbance Rejection in a Nonlinear Dynamic System with Parametric Uncertainty
by: Hill, Vincent W.
Published: (2024)