Technical Communique: Nonlinear bounded-error state estimation of continuous-time systems
By L. Jaulin. 2002
204 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/bc7d9404e323e03c75fe2a08dbaf239525e54fff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Eduardo Fernández Camacho
- Éric Walter
- José Manuel Bravo
- Denis V. Efimov
- Ali Zolghadri
- Teodoro Alamo
- Michel Kieffer
- Boris Houska
In Computational Theory and Mathematics
- Tarek Raïssi
- Denis V. Efimov
- Ali Zolghadri
- Éric Walter
- Michel Kieffer
- Eduardo Fernández Camacho
- José Manuel Bravo
- Teodoro Alamo
In Control and Systems Engineering
- Tarek Raïssi
- Denis V. Efimov
- Ali Zolghadri
- Éric Walter
- Michel Kieffer
- Eduardo Fernández Camacho
- José Manuel Bravo
- Teodoro Alamo
Citations in the corpus
- Guaranteed state estimation by zonotopes (2003, methodology): “To improve the exponential complexity, consistency techniques are considered in [6].”
- Set-Theoretic Approaches in Analysis, Estimation and Control of Nonlinear Systems (2015, methodology): “Initially developed for algebraic models in the early 1990s (Moore, 1992; Jaulin and Walter, 1993), these techniques were later extended to dynamic models using ODE bounding techniques (e.g., Jaulin, 2002; Raissi et al., 2004).”
- GUARANTEED NONLINEAR STATE ESTIMATION FOR CONTINUOUS-TIME DYNAMICAL MODELS FROM DISCRETE-TIME MEASUREMENTS (2006, background): “In a more general context, a recursive state estimation algorithm based on the guaranteed numerical integration of ordinary differential equations (ODEs) (Berz and Makino, 1998; Nedialkov and Jackson, 2001) has been presented in (Jaulin, 2002), for the case where there are no state perturbations.”
- Interval State Estimation for a Class of Nonlinear Systems (2012, methodology): “The first one [17], [20], [21], [31] is based on the well-known prediction/correction mechanism as in the Kalman filter.”
- Interval state observer for nonlinear time varying systems (2013, unknown): “There are several approaches to design interval observers [3], [7], [8], [12].”