Differentially Flat Systems
By Hebertt Sira-Ramírez, Sunil Kumar Agrawal. 2004
789 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/acf48d3309d8b92d834c744a4e1e948a5d208016
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Cédric Join
- Hebertt Sira-Ramírez
- Michel Fliess
- Carlos F. Aguilar-Ibáñez
- J. Acosta
- Jesús Linares-Flores
- Carlos García-Rodriguez
- Arturo Hernández Méndez
In Numerical Analysis
Citations in the corpus
- Differential-Flatness-Based Planning and Control of a Wheeled Mobile Manipulator—Theory and Experiment (2011, background): “[ 5 ] Y.-L. Yang, P. C. P. Chao, and C.-K.”
- Model-free control (2013, background): “…y ∗ might lead, as well known, to severe difficulties with non-minimum phase systems: see, e.g., Fliess & Marquez (2000); Fliess, Sira-Ram´ırez & Marquez (1998); Sira-Ram´ırez & Agrawal (2004) from a flatness-based viewpoint (Fliess, L´evine, Martin & Rouchon (1995); Sira-Ram´ırez & Agrawal (2004)).”
- Stability of active disturbance rejection control for uncertain systems: A Lyapunov perspective (2017, background): “This system is described by the following set of normalized differential equations ([37]):”
- Robust Nonlinear Adaptive Control of a “Boost” Converter via Algebraic Parameter Identification (2014, background): “The average system model (3) and (4) is flat (see [4] and also [23]), with flat, or linearizing, output given by a smooth function y = h(x) represented by a suitable modification of the average total stored energy”
- A revised look at numerical differentiation with an application to nonlinear feedback control (2007, neutral): “This system, which is linearizable by static state feedback, is flat (cf. [ 12], [22]); y = θ l is a flat output, which is measured.”