Cover Image

D-Optimized Sampling Design for System Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dozzi, Enrico, Oomen, Tom, González, Rodrigo A.
Format:	Preprint
Published:	2026
Subjects:	Systems and Control Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaled Graph Bounding Techniques for Reset Systems
by: de Groot, Timo, et al.
Published: (2026)

Scaled Relative Graphs and Dynamic Integral Quadratic Constraints: Connections and Computations for Nonlinear Systems
by: de Groot, Timo, et al.
Published: (2026)

Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
by: Classens, Koen, et al.
Published: (2025)

Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency
by: González, Rodrigo A., et al.
Published: (2024)

A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems
by: Ding, Mingxia, et al.
Published: (2024)

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)

Reachability Analysis for Design Optimization
by: Nguyen, Steven, et al.
Published: (2026)

Sample Complexity of Chance Constrained Optimization in Dynamic Environment
by: Shukla, Apurv, et al.
Published: (2024)

Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
by: Sattar, Yahya, et al.
Published: (2021)

Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators
by: González, Rodrigo A., et al.
Published: (2025)

An Interpolation-based Scheme for Rapid Frequency-Domain System Identification
by: Jonas, Jared, et al.
Published: (2025)

Network Identification for Diffusively-Coupled Systems with Minimal Time Complexity
by: Sharf, Miel, et al.
Published: (2019)

GREAT: Grassmannian REcursive Algorithm for Tracking & Online System Identification
by: Sasfi, András, et al.
Published: (2024)

Statistically Optimal Structured Additive MIMO Continuous-time System Identification
by: González, Rodrigo A., et al.
Published: (2025)

Finite Sample Frequency Domain Identification
by: Tsiamis, Anastasios, et al.
Published: (2024)

Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
by: Isaji, Masafumi, et al.
Published: (2021)

Data-Driven Identification of Attack-free Sensors in Networked Control Systems
by: Anand, Sribalaji C., et al.
Published: (2023)

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches
by: Sivaranjani, S., et al.
Published: (2025)

Compositional Online Learning for Multi-Objective System Co-Design
by: Alharbi, Meshal, et al.
Published: (2026)

Koopman Representations for Non-Vanishing Time Intervals: An Optimization Approach and Sampling Effects
by: Cho, Younghwan, et al.
Published: (2026)

Discrete-time Negative Imaginary Systems from ZOH Sampling
by: Shi, Kanghong, et al.
Published: (2023)

A Privacy Preserving Distributed Model Identification Algorithm for Power Distribution Systems
by: Chang, Chin-Yao
Published: (2023)

Identification of Additive Continuous-time Systems in Open and Closed loop
by: González, Rodrigo A., et al.
Published: (2024)

An Optimal Control Framework for Airborne Wind Energy Systems with a Flexible Tether
by: Heydarnia, Omid, et al.
Published: (2024)

System Design Approach for Control of Differentially Private Dynamical Systems
by: Goyal, Raman, et al.
Published: (2024)

Sampled-data Systems: Stability, Contractivity and Single-iteration Suboptimal MPC
by: Chen, Yiting, et al.
Published: (2025)

Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
by: Giorgetti, Folco, et al.
Published: (2025)

Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach
by: da Mata, João Victor Galvão, et al.
Published: (2023)

On Composable and Parametric Uncertainty in Systems Co-Design
by: Huang, Yujun, et al.
Published: (2025)

Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
by: Liu, Rong-Peng, et al.
Published: (2023)

Sampled-Data Observers for 1-D Parabolic PDEs with Non-Local Outputs
by: Karafyllis, Iasson, et al.
Published: (2019)

Hull Clustering with Blended Representative Periods for Energy System Optimization Models
by: Neustroev, Grigory, et al.
Published: (2025)

Concurrent Design Optimization of Powertrain Component Modules in a Family of Electric Vehicles
by: Clemente, Maurizio, et al.
Published: (2023)

Passivity-Based Local Design Conditions for Global Optimality in Distributed Convex Optimization
by: Jane-Soneira, Pol, et al.
Published: (2025)

Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach
by: Aldana-López, Rodrigo, et al.
Published: (2024)

Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification
by: González, Rodrigo A., et al.
Published: (2024)

Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints
by: Piazza, Mattia, et al.
Published: (2025)

Peak Estimation of Rational Systems using Convex Optimization
by: Miller, Jared, et al.
Published: (2023)

A Dynamic Mode Decomposition Approach to Parameter Identification
by: Abudia, Moad, et al.
Published: (2026)

Discrete Homogeneity and Quantizer Design for Nonlinear Homogeneous Control Systems
by: Zhou, Yu, et al.
Published: (2026)