Vijay Gupta

TL;DR: A stochastic sensor selection strategy that is easy to implement and is computationally tractable is described that is applied to the sensor coverage problem and the sensor selection problem, which has multiple sensors that cannot operate simultaneously.

TL;DR: This article provides a survey on state estimation in electric power grids and examines the impact on SE of the technological changes being proposed as a part of the smart grid development.

TL;DR: This work decomposes the problem of optimal linear quadratic Gaussian control of a system whose state is being measured by sensors that communicate with the controller over packet-dropping links into a standard LQR state-feedback controller design, along with an optimal encoder–decoder design for propagating and using the information across the unreliable links.

TL;DR: A passivity-based design approach that decouples stability from timing uncertainties caused by networking and computation is presented, and cross-domain abstractions that provide effective solution for model-based fully automated software synthesis and high-fidelity performance analysis are described.

TL;DR: It is proved that the optimal linear-quadratic-Gaussian (LQG) controller consists of an LQ optimal regulator along with an estimator that estimates the state of the process across the communication network.