A new reduced-order observer normal form for nonlinear discrete time systems
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Publication:360692
DOI10.1016/j.sysconle.2012.07.007zbMath1270.93024OpenAlexW2050656686MaRDI QIDQ360692
Driss Boutat, Mohamed Darouach, Latifa Boutat-Baddas
Publication date: 27 August 2013
Published in: Systems \& Control Letters (Search for Journal in Brave)
Full work available at URL: http://www.sciencedirect.com/science/article/pii/S0167691112001405
Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Geometric methods (93B27) Canonical structure (93B10)
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Cites Work
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- Linearization by output injection and nonlinear observers
- \(H_\infty\) observers design for a class of continuous time nonlinear singular systems
- Observer design for autonomous discrete-time nonlinear systems
- Observability analysis by Poincaré normal forms
- New algorithm for observer error linearization with a diffeomorphism on the outputs
- Nonlinear observer design using Lyapunov's auxiliary theorem
- New results on general observers for discrete-time nonlinear systems.
- A reduced-order observer for non-linear discrete-time systems
- Reduced order observer design for discrete-time nonlinear systems
- Nonlinear Observers with Linearizable Error Dynamics
- Non-linear observer design by observer canonical forms
- On Constructing Nonlinear Observers
- A simple observer for nonlinear systems applications to bioreactors
- Exponential observers for nonlinear dynamic systems
- Existence and design of functional observers for linear systems
- Nonlinear Observer Design in the Siegel Domain
- Observing the state of non-linear dynamic systems
