The potential benefits of networked control systems are tremendous, as they can be easily
upgraded by just including new components (ie, sensors, actuators, or controllers), avoiding …

The paper addresses Kalman filtering over a peer-to-peer sensor network with a careful eye
towards data transmission scheduling for reduced communication bandwidth and …

Point processes are finding growing applications in numerous fields, such as neuroscience,
high frequency finance and social media. So classic problems of classification and …

This article proposes a novel filter, which is based on the event-triggered schedule and the
cubature Kalman filter (CKF), to perform the nonlinear remote state estimation in the wireless …

This article considers the problem of eavesdrop** on remote state estimation. Linear
encryption strategies are used to protect the transmitted data. Two types of data transmission …

Abstract Continuous Stirred Tank Reactors (CSTR) are the most important and central
equipment in many chemical and biochemical industries, that exhibit second order complex …

This paper introduces a novel consensus-based labeled multi-Bernoulli (LMB) filter to tackle
multi-target tracking (MTT) in a communication resource-sensitive distributed sensor network …

In this paper, a problem of event-triggered state estimation for a linear Gaussian system with
an energy harvesting sensor is investigated. A stochastic energy-dependent event-triggering …

This paper concentrates on the remote state estimation problem for nonlinear systems over
a communication-limited wireless sensor network. Because of the non-Gaussian property …

In this paper, a dynamic system is controlled by multiple sensor-actuator agents, each of
them commanding and observing parts of the system's input and output. The different agents …