… In this article, we study three cooperative strategies for distributed estimation. 1) Consensus
Strategy: The consensus strategy often appears in the literature in the following form (see, eg…

… In fact, we will focus on distributed estimation of dynamical systems for which sensor
nodes are not physically co-located and exchange information only with their neighbors. For …

… strategy if the number of message exchange per sampling time is small. Moreover, we prove
that under certain conditions the optimal consensus … will focus on distributed estimation of …

… A recursive distributed estimation algorithm is proposed by using state-consensus strategy,
… because we take state-consensus strategy rather than the diffusion or gossip ones. Due to …

… consensus strategies where the consensus matrix is not constant but can change over time.
The major drawback of static consensus … in designing consensus strategies that require little …

… limited number of consensus iterations is available. It is urgent to design a more … distributed
estimation scheme, which is able to achieve satisfactory estimation accuracy and consensus …

… For distributed estimation, we consider all of the methods presented in Sect. IV-B, namely the
distributed … The estimate of QPΣ is obtained once the consensus on θ has been reached, by …

… consensus strategy to improve the consensus based distributed Kalman filter algorithm in the
estimation fusion … We refer to this method as information consensus filter (ICF) [16]. Before …

… the estimates performed individually by each node converge on a common value by means
of a suitable consensus strategy… extendable to many other problems of distributed estimation. …

… delays on the consensus stability are discussed in [2]–[4] … distributed estimation over a
sensor network with random communication time-delays. The literature on distributed estimation …