Q Wang, Z Duan, Y Lv, Q Wang, G Chen - Automatica, 2021 - Elsevier
This paper develops a distributed model predictive control algorithm for linear quadratic optimal consensus of discrete-time multi-agent systems. The consensus state and control …
There is a drastic increase in urbanization over the past few years, which requires energy‐ efficient and optimized solutions for transportation, governance, quality of life in a smart city …
Wireless sensor networks (WSNs) are becoming more and more a pervasive tool to monitor a wide range of physical phenomena. The opportunities arising from the many potential …
This book is aimed at students in communications and signal processing who want to extend their skills in the energy area. It describes power systems and why these backgrounds are …
A Bertrand, M Moonen - IEEE Signal Processing Magazine, 2013 - ieeexplore.ieee.org
This article explained how nodes in a network graph can infer information about the network topology or its topology related properties, based on in-network distributed learning, ie …
We consider the problem of distributed soft decision fusion in a bandwidth-constrained spatially uncorrelated wireless sensor network (WSN). The WSN is tasked with the detection …
G Parlangeli - IEEE Access, 2023 - ieeexplore.ieee.org
This paper tackles the eigenvalue allocation problem through an appropriate choice of the edge weights for the class of combinatorially-symmetric Laplacian matrices of acyclic …
S Dhuli, K Gaurav, YN Singh - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Average consensus algorithms can be implemented over wireless sensor networks (WSN), where global statistics can be computed using the communications among sensor nodes …
D Xue, S Hirche - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
This paper considers the problem of network structure manipulation in the absence of a central coordinator that collects network information and makes decisions. The primary focus …