Improving adversarial robustness of neural networks remains a major challenge.
Fundamentally, training a neural network via gradient descent is a parameter estimation …

It is known that nonholonomic systems on the plane cannot be stabilized on arbitrary
leader's trajectories with piecewise continuous velocities via continuous controllers, even …

In applications involving time-varying systems, the state dynamics matrix is often not known
in advance. To address this problem, this paper investigates the effectiveness of a forward-in …

Transmission control protocol, in the transport layer of a network, can usually detect
congestion after its occurrence. Therefore, designing a robust active queue management …

This article treats two problems dealing with control of linear systems in the presence of a
jammer that can sporadically turn off the control signal. The first problem treats the standard …

Nonlinear models of physical systems usually suffer from input delay and external
disturbances. Moreover, when a delayed state is in the input signal gain, it can be non …

THRUSTERS have been a popular choice for microsatellite attitude control systems owing to
their high power-to-weight ratio and because they use a lesser number of moving parts that …

This paper deals with the consensus problem of agents communicating via time-varying
communication links in undirected graph networks. The highlight of the current work is to …

This article deals with the consensus problem involving agents with time-varying
singularities in the dynamics or communication in undirected graph networks. Existing …

We develop a new technique for stabilizing multi-input linear systems with unstable drift and
time-varying, singular gains on the control. The results presented here assume the control …