Nonuniform Observability for Moving Horizon Estimation and Stability with Respect to Additive Perturbation
From MaRDI portal
Publication:6057794
DOI10.1137/22m1475132zbMath1526.93019arXiv2104.12328OpenAlexW4387704887MaRDI QIDQ6057794
Publication date: 26 October 2023
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.12328
implicit function theoremstability of solutionsmoving horizon estimationnonlinear observabilitypersistent input
Observability (93B07) Implicit function theorems, Jacobians, transformations with several variables (26B10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers
- Moving-horizon state estimation for nonlinear discrete-time systems: new stability results and approximation schemes
- Manifolds, tensor analysis, and applications.
- Nonlinear moving horizon estimation in the presence of bounded disturbances
- Convergence Guarantees for Moving Horizon Estimation Based on the Real-Time Iteration Scheme
- Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
- Nonlinear controllability and observability
- Optimization based non-linear observers revisited
- Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods
- An Introduction to Nonlinear Analysis and Fixed Point Theory
- Moving horizon observers and observer-based control
- Robust Stability of Full Information Estimation
- Parameter/Fault Estimation in Nonlinear Systems and Adaptive Observers
- Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations
- Further results on nonlinear receding-horizon observers
- Moving Horizon Numerical Observers of Nonlinear Control Systems
- Explicit $\varepsilon $ and $\delta $ for the Implicit Function Theorem
- Nonlinear full information and moving horizon estimation: robust global asymptotic stability
This page was built for publication: Nonuniform Observability for Moving Horizon Estimation and Stability with Respect to Additive Perturbation