:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Lantian, Guo, Lei
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2309.09454
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Tracking Control with Binary-Valued Output Observations
by: Zhang, Lantian, et al.
Published: (2024)

PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
by: Wen, Yilin, et al.
Published: (2026)

Learning a Class of Mixed Linear Regressions: Global Convergence under General Data Conditions
by: Liu, Yujing, 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)

The Asymptotic Behavior of Attention in Transformers
by: Abella, Álvaro Rodríguez, et al.
Published: (2024)

Adaptive prediction theory combining offline and online learning
by: Li, Haizheng, et al.
Published: (2025)

Asymptotics of Linear Regression with Linearly Dependent Data
by: Moniri, Behrad, et al.
Published: (2024)

Dynamic financial processes identification using sparse regressive reservoir computers
by: Vides, Fredy, et al.
Published: (2023)

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

A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)

Fast sparse optimization via adaptive shrinkage
by: Cerone, Vito, et al.
Published: (2025)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

A least-square method for non-asymptotic identification in linear switching control
by: Sun, Haoyuan, et al.
Published: (2024)

A Tutorial on the Non-Asymptotic Theory of System Identification
by: Ziemann, Ingvar, et al.
Published: (2023)

Manifold meta-learning for reduced-complexity neural system identification
by: Forgione, Marco, et al.
Published: (2025)

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment
by: Chen, Kaixuan, et al.
Published: (2024)

A novel ML-fuzzy control system for optimizing PHEV fuel efficiency and extending electric range under diverse driving conditions
by: Raeesi, Mehrdad, et al.
Published: (2024)

Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2024)

Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
by: Xinming, Wang, et al.
Published: (2024)

A robust and adaptive MPC formulation for Gaussian process models
by: Dubied, Mathieu, et al.
Published: (2025)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
by: Xin, Lei, et al.
Published: (2025)

One-shot backpropagation for multi-step prediction in physics-based system identification -- EXTENDED VERSION
by: Donati, Cesare, et al.
Published: (2023)

AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
by: Padhy, Apurba Prasad, et al.
Published: (2026)

Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors
by: Bhan, Luke, et al.
Published: (2025)

Orthogonal projection-based regularization for efficient model augmentation
by: Györök, Bendegúz M., et al.
Published: (2025)

System identification of biophysical neuronal models
by: Burghi, Thiago B., et al.
Published: (2020)

Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation
by: Zhao, Pan, et al.
Published: (2021)

Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control
by: Palma, Giorgio, et al.
Published: (2025)

A dual mode adaptive basal-bolus advisor based on reinforcement learning
by: Sun, Qingnan, et al.
Published: (2019)

Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025)

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
by: Zhang, Qi, et al.
Published: (2024)

Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors
by: Bhan, Luke, et al.
Published: (2025)

A semi-centralized multi-agent RL framework for efficient irrigation scheduling
by: Agyeman, Bernard T., et al.
Published: (2024)

Distributionally robust minimization in meta-learning for system identification
by: Rufolo, Matteo, et al.
Published: (2025)

Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring
by: Wilson, James, et al.
Published: (2024)

Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
by: Zhang, Ziyi, et al.
Published: (2024)

Distributed Thompson sampling under constrained communication
by: Zerefa, Saba, et al.
Published: (2024)

Robust Q-Learning under Corrupted Rewards
by: Maity, Sreejeet, et al.
Published: (2024)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
by: Banker, Thomas, et al.
Published: (2025)