Recent advances in hardware and communication technologies have accelerated the
deployment of billions of wireless sensors. This transformation has created a wide range of …

As the scale of distributed control systems over networks increases and interactions
between different subsystems become more sophisticated, questions of the resilience of …

Inthis article, we propose a novel, model-independent, unified detection strategy based on
disagreement Laplacian potential for effective identification of cyber anomalies in …

As the scale of networked control systems increases and interactions between different
subsystems become more sophisticated, questions of the resilience of such networks …

In this paper, we consider a sensor placement problem for secure state estimation in an
adversarial environment. Specifically, this paper deals with a system consisting of n agents …

This study addresses the challenge of selecting sensors for linear time-varying (LTV)
systems dynamically. We present a framework that designs an online sparse sensor …

Emerging applications of control, estimation, and machine learning, from target tracking to
decentralized model fitting, pose resource constraints that limit which of the available …

State estimation is crucial for the monitoring and control of post-combustion CO 2 capture
plants (PCCPs). The performance of state estimation is highly reliant on the configuration of …

We study the simultaneous actuator selection and controller design problem for linear
quadratic regulation over a finite horizon, when the system matrices are unknown a priori …

State estimation is crucial for the monitoring and control of post-combustion CO2 capture
plants (PCCPs). The performance of state estimation is highly reliant on the configuration of …