Cover Image

Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xiaojie, Bo, Song, Qin, Yan, Yin, Xunyuan
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximating arrival costs in distributed moving horizon estimation: A recursive method
by: Li, Xiaojie, et al.
Published: (2024)

Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes
by: Li, Xiaojie, et al.
Published: (2024)

Learning-based data-enabled moving horizon estimation with application to membrane-based biological wastewater treatment process
by: Li, Xiaojie, et al.
Published: (2026)

Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling
by: Yan, Mingxue, et al.
Published: (2024)

Event-triggered moving horizon estimation for nonlinear systems
by: Krauss, Isabelle, et al.
Published: (2024)

Robust stability of moving horizon estimation for nonlinear systems with bounded disturbances using adaptive arrival cost
by: Deniz, Nestor N., et al.
Published: (2019)

Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes
by: Li, Xiaojie, et al.
Published: (2024)

Robust stability of moving horizon estimation for continuous-time systems
by: Schiller, Julian D., et al.
Published: (2023)

Sample-based detectability and moving horizon state estimation of continuous-time systems
by: Krauss, Isabelle, et al.
Published: (2026)

Strong nonlinear detectability and moving horizon estimation for nonlinear systems with unknown inputs
by: Guo, Yang, et al.
Published: (2025)

Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
by: Yan, Mingxue, et al.
Published: (2025)

Lyapunov-based reinforcement learning for distributed control with stability guarantee
by: Yao, Jingshi, et al.
Published: (2024)

Robust stability of event-triggered nonlinear moving horizon estimation
by: Krauss, Isabelle, et al.
Published: (2025)

A moving horizon estimator for aquifer thermal energy storages
by: van Randenborgh, Johannes, et al.
Published: (2025)

Nonlinear moving horizon estimation for robust state and parameter estimation -- extended version
by: Schiller, Julian D., et al.
Published: (2023)

Distributed Observer and Controller Design for Linear Systems: A Separation-Based Approach
by: Cao, Ganghui, et al.
Published: (2025)

Distributed Omniscient Observers for Multi-Agent Systems: Design and Applications
by: Cao, Ganghui, et al.
Published: (2026)

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)

Distributed moving horizon fusion estimation for linear constrained uncertain systems
by: Shoudong Wang, et al.
Published: (2024)

Moving horizon estimation for nonlinear systems with time-varying parameters
by: Schiller, Julian D., et al.
Published: (2024)

Economic zone data-enabled predictive control for connected open water systems
by: Chen, Xiaoqiao, et al.
Published: (2025)

Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System
by: Han, Minghao, et al.
Published: (2025)

Simultaneous state estimation and control for nonlinear systems subject to bounded disturbances
by: Deniz, Nestor N., et al.
Published: (2019)

Reduced-order Koopman modeling and predictive control of nonlinear processes
by: Zhang, Xuewen, et al.
Published: (2024)

Economic data-enabled predictive control using machine learning
by: Yan, Mingxue, et al.
Published: (2025)

Approximate solution of stochastic infinite horizon optimal control problems for constrained linear uncertain systems
by: Joa, Eunhyek, et al.
Published: (2024)

Design of optimal repetitive control based on EID estimator with adaptive periodic event-triggered mechanism for linear systems subjected to exogenous disturbances
by: Soliman, Mohammed, et al.
Published: (2025)

Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation
by: Debnath, Sarupa, et al.
Published: (2024)

A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution
by: Mathiesen, Frederik Baymler, et al.
Published: (2024)

Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning
by: Zhang, Xuewen, et al.
Published: (2024)

Moving horizon partition-based state estimation of large-scale systems -- Revised version
by: Farina, Marcello, et al.
Published: (2024)

An iterative scheme for finite horizon model reduction of continuous-time linear time-varying systems
by: Das, Kasturi, et al.
Published: (2023)

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

One-bit consensus of controllable linear multi-agent systems with communication noises
by: An, Ru, et al.
Published: (2025)

State estimation for a class of nonlinear time-varying uncertain system under multiharmonic disturbance
by: Margun, Alexey A., et al.
Published: (2024)

Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes
by: Li, Zhaoyang, et al.
Published: (2024)

Robust targeted exploration for systems with non-stochastic disturbances
by: Venkatasubramanian, Janani, et al.
Published: (2024)

Distances between finite-horizon linear behaviors
by: Padoan, Alberto, et al.
Published: (2025)

Predictive stability filters for nonlinear dynamical systems affected by disturbances
by: Didier, Alexandre, et al.
Published: (2024)

Online Reduced-Order Data-Enabled Predictive Control
by: Vahidi-Moghaddam, Amin, et al.
Published: (2024)