Imagen de Portada

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

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Frascati, Lapo, Bemporad, Alberto
Formato:	Preprint
Publicado:	2025
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Worst-case Nonlinear Regression with Error Bounds
por: Bemporad, Alberto
Publicado: (2026)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning Parametric Convex Functions
por: Schaller, Maximilian, et al.
Publicado: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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