A proximity moving horizon estimator for a class of nonlinear systems
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Publication:5000689
DOI10.1002/acs.3092zbMath1467.93302OpenAlexW3004202569MaRDI QIDQ5000689
Christian Ebenbauer, Meriem Gharbi
Publication date: 15 July 2021
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.3092
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Input-output approaches in control theory (93D25)
Related Items (2)
Nonlinear full information and moving horizon estimation: robust global asymptotic stability ⋮ Moving horizon estimation: Open problems, theoretical progress, and new application perspectives
Cites Work
- Unnamed Item
- Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers
- Linearization by output injection and nonlinear observers
- Remarks on linearization of discrete-time autonomous systems and nonlinear observer design
- Enhancing sparsity by reweighted \(\ell _{1}\) minimization
- Observer design for autonomous discrete-time nonlinear systems
- An iterative partition-based moving horizon estimator with coupled inequality constraints
- Moving-horizon state estimation for nonlinear discrete-time systems: new stability results and approximation schemes
- Proximal minimization algorithm with \(D\)-functions
- Suboptimal receding horizon estimation via noise blocking
- Nonlinear moving horizon estimation in the presence of bounded disturbances
- Linear constrained moving horizon estimator with pre-estimating observer
- Sampled-data observer error linearization
- Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems
- Convergence Guarantees for Moving Horizon Estimation Based on the Real-Time Iteration Scheme
- On the Convergence of the Proximal Point Algorithm for Convex Minimization
- Entropic Proximal Mappings with Applications to Nonlinear Programming
- Monotone Operators and the Proximal Point Algorithm
- Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods
- Observer design for nonlinear systems with discrete-time measurements
- Receding-horizon estimation for discrete-time linear systems
- Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations
- Relaxed Logarithmic Barrier Function Based Model Predictive Control of Linear Systems
- Moving Horizon Estimation for Large-Scale Interconnected Systems
- Compressed sensing
- Input-to-state stability for discrete-time nonlinear systems
- Constrained linear state estimation -- a moving horizon approach
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