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Robust observers for Lipschitz nonlinear systems subject to disturbances were proposed in [5, 6].
Particle filters are popular for modeling non-linear systems subject to non-Gaussian noise.
Interval-valued differential equation is a natural way to model dynamic systems subject to uncertainties.
In this paper, we studied the PER of communication systems subject to block fading effects.
Recently many authors have discussed population systems subject to white noise (see [14 22]).
Results on controlling linear systems subject to uncertain inputs using deterministic methods are presented.
The interval-valued differential can be used to model dynamical systems subject to uncertainties.
In this work multi-modal systems subject to impact are considered.
The dynamic stability of skeletal systems subject to harmonic axial forces is of interest.
This paper, addresses fault tolerant control (FTC) of power systems subject to sensor failure.
The strategies are numerically validated by considering systems subject to different kinds of disturbances.
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