Unknown correlations (UCs) generally exist in a wide spectrum of practical multi-source
information fusion problems, and thereby, their corresponding fusion problems have …

This paper surveys recent advances related to adaptation, learning, and optimization over
networks. Various distributed strategies are discussed that enable a collection of networked …

This paper considers the security problem of distributed consensus estimation for nonlinear
systems subject to deception attacks with enough/limited energy. Depending on whether the …

Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …

An event-triggered mechanism is of great efficiency in reducing unnecessary sensor
samplings/transmissions and, thus, resource consumption such as sensor power and …

Kalman Filtering Page 1 Kalman Filtering Charles K. Chui Guanrong Chen with Real-Time
Applications Fifth Edition Page 2 Kalman Filtering Page 3 Charles K. Chui • Guanrong Chen …

This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

This paper is concerned with the distributed set-membership estimation for a discrete-time
linear time-varying system over a resource-constrained wireless sensor network under the …

We consider the problem of distributed estimation, where a set of nodes is required to
collectively estimate some parameter of interest from noisy measurements. The problem is …

We propose an adaptive diffusion mechanism to optimize global cost functions in a
distributed manner over a network of nodes. The cost function is assumed to consist of a …