Unknown input observers for 2D state-space models
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Publication:4822889
DOI10.1080/00207170410001726787zbMath1051.93017OpenAlexW2097211613MaRDI QIDQ4822889
Mauro Bisiacco, Valcher, Maria Elena
Publication date: 25 October 2004
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207170410001726787
observabilitylinear systemsdiscrete-time systemsobserver designLuenberger observerstwo-dimensional systemsdead-beat unknown input observers
Multivariable systems, multidimensional control systems (93C35) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Observability (93B07)
Related Items (7)
Observer-based fault detection and isolation for 2D state-space models ⋮ The general fault detection and isolation problem for 2D state-space models ⋮ Dead-beat estimation problems for 2D behaviors ⋮ Detectability subspaces and observer synthesis for two-dimensional systems ⋮ Analysis and design of unknown input observers for a class of 2-D nonlinear systems ⋮ Sensor fault reconstruction for a class of 2-D nonlinear systems with application to fault compensation ⋮ Optimal state and fault estimation for two-dimensional discrete systems
Cites Work
- On the state reconstruction of 2D systems
- Two-dimensional state-space discrete models for hyperbolic partial differential equations
- A 2-D systems approach to river pollution modelling
- 2D residual generation and dead-beat observers
- \(n\)D polynomial matrices with applications to multidimensional signal analysis
- Extension of minimum variance estimation for systems with unknown inputs.
- Unknown input observers for uncertain systems: a unifying approach.
- Polynomial inverses of 2D transfer matrices and finite memory realizations via inverse systems
- The state vector reconstruction for linear systems with unknown inputs
- State and output feedback stabilizability of 2-D systems
- On the structure of 2-D observers
- 2-D partial fraction expansions and minimal commutative realizations
- On the Problems of Constructing Minimal Realizations for Two-Dimensional Filters
- A discrete state-space model for linear image processing
- State-space realization theory of two-dimensional filters
- Observers for linear systems with arbitrary plant disturbances
- On the relevance of noncommutative power series in spatial filters realization
- Doubly-indexed dynamical systems: State-space models and structural properties
- Notes on n-Dimensional System Theory
- Full-order observers for linear systems with unknown inputs
- On the application of the {1}-inverse to the design of general structured unknown input observers
- Observer-estimators for discrete-time systems
- Robust fault detection in descriptor linear systems via generalized unknown input observers
- Matrix Pairs in Two-Dimensional Systems: An Approach Based on Trace Series and Hankel Matrices
- Design of unknown input observers and robust fault detection filters
- A new design approach to unknown input observers
- Optimal filtering and robust fault diagnosis of stochastic systems with unknown disturbances
- Design of proportional-integral observer for unknown input descriptor systems
- Observers for linear systems with unknown inputs
- Modified stochastic Luenberger observers
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