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Two types of high order sliding mode observers are used.
Adaptive sliding mode observers are designed for the purpose of enhancing autonomy in the network of dynamical systems.
In addition to the controlsystems, reconfiguration processes based on Sliding Mode observers are presented in this paper.
In this paper, high order sliding mode observers are used to estimate tires longitudinal forces, vehicle side slip angle and velocities.
On the basis of the dynamic model with both matched and unmatched uncertainties, two high-order sliding mode observers are designed to estimate the newly defined virtual state and the lumped uncertainty, respectively.
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A generalized bank of nonlinear observers based on multivariable super-twisting-sliding mode observers is designed to isolate the faulty sensor.
The robustness of the high-order sliding mode observers is exploited to provide exact reconstruction of the continuous state and the discrete state even in the presence of unknown inputs.
The sliding mode control (SMC) and linear-quadratic Gaussian (LQG) control methodology with sliding mode observer are used for the purpose of control.
Specifically, sliding-mode observers are proposed, for which finite-time global convergence is demonstrated using Lyapunov stability theory and concepts of variable structure systems.
For their robustness quality, a high order sliding mode observer is used to observe the non-sinusoidal BEMF which allows to determine magnetic field angular relative position leading to a so-called extended Park's transformation.
A sliding mode observer is derived such that the observation errors converge to zero asymptotically in fInite time.
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