Cover Image

Event-triggered moving horizon estimation for nonlinear systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krauss, Isabelle, Schiller, Julian D., Lopez, Victor G., Müller, Matthias A.
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

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

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

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

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

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

Sample-based nonlinear detectability for discrete-time systems
by: Krauss, Isabelle, et al.
Published: (2023)

On sample-based functional observability of linear systems
by: Krauss, Isabelle, et al.
Published: (2025)

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

Sample-based Moving Horizon Estimation
by: Krauss, Isabelle, et al.
Published: (2025)

Data-based Moving Horizon Estimation under Irregularly Measured Data
by: Wolff, Tobias M., et al.
Published: (2025)

Optimal state estimation: Turnpike analysis and performance results
by: Schiller, Julian D., et al.
Published: (2024)

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

Event-triggered control of nonlinear systems from data
by: Chen, Hailong, et al.
Published: (2025)

Performance guarantees for optimization-based state estimation using turnpike properties
by: Schiller, Julian D., et al.
Published: (2025)

Estimating Hormone Concentrations in the Pituitary-Thyroid Feedback Loop from Irregularly Sampled Measurements
by: Siriya, Seth, et al.
Published: (2025)

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

Sufficient Conditions for Detectability of Approximately Discretized Nonlinear Systems
by: Siriya, Seth, et al.
Published: (2025)

Data-driven stabilization of nonlinear systems via descriptor embedding
by: Alsalti, Mohammad, et al.
Published: (2025)

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

Tuning the burn-in phase in training recurrent neural networks improves their performance
by: Schiller, Julian D., et al.
Published: (2026)

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

Small-gain analysis of exponential incremental input/output-to-state stability for large-scale distributed systems
by: Gatke, Christian, et al.
Published: (2026)

Insights into the explainability of Lasso-based DeePC for nonlinear systems
by: Giacomelli, Gianluca, et al.
Published: (2025)

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

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

Notes on data-driven output-feedback control of linear MIMO systems
by: Alsalti, Mohammad, et al.
Published: (2023)

Event triggered optimal formation control for nonlinear multi-agent systems under Denial-of-Service attacks
by: Zhang, Jianqiang, et al.
Published: (2025)

Online convex optimization for constrained control of nonlinear systems
by: Nonhoff, Marko, et al.
Published: (2024)

An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems
by: Alsalti, Mohammad, et al.
Published: (2023)

Data-based system representations from irregularly measured data
by: Alsalti, Mohammad, et al.
Published: (2023)

Data-Based System Representation and Synchronization for Multiagent Systems
by: Lopez, Victor G., et al.
Published: (2024)

Data-Based Control of Continuous-Time Linear Systems with Performance Specifications
by: Lopez, Victor G., et al.
Published: (2024)

On Data-based Nash Equilibria in LQ Nonzero-sum Differential Games
by: Lopez, Victor G., et al.
Published: (2026)

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

An input-output continuous-time version of Willems' lemma
by: Lopez, Victor G., et al.
Published: (2024)

Local Observability and Moving Horizon Estimation-based Training of Feedforward Neural Networks
by: Yang, Yi, et al.
Published: (2026)

Local Observability of a Class of Feedforward Neural Networks
by: Yang, Yi, et al.
Published: (2025)

An Output Feedback Q-learning Algorithm for Optimal Control of Nonlinear Systems with Koopman Linear Embedding
by: Lopez, Victor G., et al.
Published: (2026)

Observer-based Periodic Event-triggered and Self-triggered Boundary Control of a Class of Parabolic PDEs
by: Rathnayake, Bhathiya, et al.
Published: (2023)

Data-driven Dynamic Event-triggered Control
by: Xu, Tao, et al.
Published: (2024)