Nonlinear observers and applications

By Gildas Besançon. 2007

520 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/3d7c365ec847828b732df35ccfc74ad12b9bb0ad

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In Control and Systems Engineering

Citations in the corpus

Linear observer synthesis for nonlinear systems using Koopman Operator framework (2016, methodology): “Observer design for nonlinear systems is an extensively researched area, see Misawa and Hedrick (1989); Nijmeijer and Fossen (1999); Besancon (2007). Extended Kalman Filter (EKF) is most widely used nonlinear observer, its virtue being relative simplicity and frequently good performance. EKF being b”
Interval state observer for nonlinear time varying systems (2013, background): “I. INTRODUCTION The problem of unmeasurable state vector estimation is very challenging and its solution is demanded in many applications [4], [5], [15].”
Extended State Observer for Nonlinear Systems with Uncertainty (2011, unknown): “The convergence of the high-gain observer for determined systems without augmented state variable was given in Theorem 6 of Besancon [2007] on page 18.”
On the convergence of an extended state observer for nonlinear systems with uncertainty (2011, background): “The convergence of the linear high-gain observer for determined systemswithout an augmented variable state is studied in [23] and Theorem 6 of [9] on page 18 (see also Chapter 14 of [24] on page 610).”
Control Principles of Complex Networks (2015, background): “Both concepts were first introduced by Rudolf Kalman for linear dynamical systems (Kalman, 1963), and were extensively explored in nonlinear dynamical systems by many authors (Besanon, 2007; Diop and Fliess, 1991a,b; Hermann and Krener, 1977; Isidori, 1995; Sontag and Wang, 1991).”