This paper considers the state filtering and parameter estimation problems for state space
systems with scarce output availability. When the scarce states are available, a least …

According to the iterative identification technique and the hierarchical identification principle,
this paper presents a two-stage gradient based and a least squares based iterative …

This paper uses the key-term separation principle and develops a multi-innovation
stochastic gradient algorithm for Hammerstein MIMO output error systems. The basic idea is …

In this paper, two novel algorithms for distributed estimation of sparse signals are presented.
The algorithms follow an iterative greedy two–step procedure. The first algorithm operates in …

In this paper, two novel algorithms for distributed estimation of sparse signals are presented.
The algorithms follow an iterative greedy two-step procedure. The first algorithm operates in …