Copertina

Learning-based data-enabled moving horizon estimation with application to membrane-based biological wastewater treatment process

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xiaojie, Yin, Xunyuan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise
di: Li, Xiaojie, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator
di: Han, Minghao, et al.
Pubblicazione: (2024)

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

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

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

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization
di: Zhang, Xuewen, et al.
Pubblicazione: (2025)

MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems
di: Han, Minghao, et al.
Pubblicazione: (2025)

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

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
di: Chen, Dong, et al.
Pubblicazione: (2023)

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

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

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

Learning-based sensing and computing decision for data freshness in edge computing-enabled networks
di: Yun, Sinwoong, et al.
Pubblicazione: (2024)

Linguistic Ordered Weighted Averaging based deep learning pooling for fault diagnosis in a wastewater treatment plant
di: Beneyto-Rodriguez, Alicia, et al.
Pubblicazione: (2025)

Learning-based model predictive control with moving horizon state estimation for autonomous racing
di: Kebbati, Yassine, et al.
Pubblicazione: (2025)

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

Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
di: Shi, Shengling, et al.
Pubblicazione: (2023)

Predictive control of wastewater treatment plants as energy-autonomous water resource recovery facilities
di: Neto, Otacilio B. L., et al.
Pubblicazione: (2025)

Stochastic optimization of a mixed moving average process for controlling non-Markovian streamflow environments
di: Yoshioka, Hidekazu, et al.
Pubblicazione: (2022)

Moving MRI: Imaging a moving body with a moving magnet
di: Yao, Jingting, et al.
Pubblicazione: (2026)

On the solvability of parameter estimation-based observers for nonlinear systems
di: Yi, Bowen, et al.
Pubblicazione: (2026)