High-gain observers in nonlinear feedback control

By Hassan K. Khalil. IEEE International Conference on Control and Automation, 2009

1,106 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/440fa5f7bad4697b00f667b0967473747259307e

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In Control and Systems Engineering

Citations in the corpus

Observers design for uncertain Takagi-Sugeno systems with unmeasurable premise variables and unknown (2011, neutral): “Several approaches are reported in the literature along the last decades in order to design observers for nonlinear systems: the extended Kalman filtering [1,2], the methods based on Lyapunov functions [3,4], the methods based on coordinate transformation using canonical observer forms [5,6], the hi”
Stability of active disturbance rejection control for uncertain systems: A Lyapunov perspective (2017, methodology): “The stability analysis follows a similar idea from the HGO approach proposed in [33].”
On the convergence of an extended state observer for nonlinear systems with uncertainty (2011, background): “A nice survey of highgain observers with or without an augmented state variable can be found in [14].”
Improved exponential observer design for one‐sided Lipschitz nonlinear systems (2016, background): “We mention just a few: the state transformation-based approach [1, 2], circle-criterion observers developed by Arcak and Kokotovic [3], high-gain observers by Khalil and other authors [4, 5], H1 observers [6–9], sliding mode observers [10–12], and adaptive observers [13, 14].”
Disturbance-Observer-Based Control and Related Methods—An Overview (2016, background): “The basic idea of EHGSO has been extended to handle nonminimum phase nonlinear systems in [47] and [48] recently.”
Parameter identification in dynamic systems using the homotopy optimization approach (2011, positive): “Initially, when λ = 1, the coupling term acts as a high-gain observer [3, 16], and if sufficiently high values of Ki are used, the experimental data and simulated response will synchronize.”
A tutorial review of economic model predictive control methods (2014, methodology): “In this case, one can apply singular perturbation arguments to prove stability of the closedloop system [86,87].”