4.7 Article

Nonlinear full information and moving horizon estimation: Robust global asymptotic stability

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

NONLINEAR DETECTABILITY AND INCREMENTAL INPUT/OUTPUT-TO-STATE STABILITY

Douglas A. Allan et al.

Summary: Incremental input/output-to-state stability (i-IOSS) is a popular characterization of detectability for nonlinear systems, and any system that admits a robustly stable state estimator must be i-IOSS. Storage functions with associated converse theorems are used to characterize other input-to-state-like properties.

SIAM JOURNAL ON CONTROL AND OPTIMIZATION (2021)

Article Automation & Control Systems

A proximity moving horizon estimator for a class of nonlinear systems

Meriem Gharbi et al.

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2020)

Proceedings Paper Automation & Control Systems

A proximity moving horizon estimator based on Bregman distances and relaxed barrier functions

Meriem Gharbi et al.

2019 18TH EUROPEAN CONTROL CONFERENCE (ECC) (2019)

Article Automation & Control Systems

Nonlinear moving horizon estimation in the presence of bounded disturbances

Matthias A. Mueller

AUTOMATICA (2017)

Article Automation & Control Systems

Robust Stability of Moving Horizon Estimation Under Bounded Disturbances

Luo Ji et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2016)

Article Automation & Control Systems

Convergence Guarantees for Moving Horizon Estimation Based on the Real-Time Iteration Scheme

Andrew Wynn et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2014)

Article Automation & Control Systems

Optimization-based state estimation: Current status and some new results

James B. Rawlings et al.

JOURNAL OF PROCESS CONTROL (2012)

Article Automation & Control Systems

Constrained state estimation for nonlinear discrete-time systems: Stability and moving horizon approximations

CV Rao et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2003)