We establish a framework of distributed random inverse problems over network graphs with
online measurements, and propose a decentralized online learning algorithm. This unifies …

In a distributed environment, estimation takes place at multiple nodes. The computational
complexity at each node can therefore significantly increase the computational cost of the …

We analyze convergence of decentralized cooperative online estimation algorithms by a
network of multiple nodes via information exchanging in an uncertain environment. Each …

We propose a decentralized online non-regularized learning algorithm in reproducing
kernel Hilbert space (RKHS) with non-stationary data streams over a network. The algorithm …

The convergence of distributed parameter estimation algorithms is analyzed for a network of
multiple nodes via information exchange with random observation matrices and …

There is a problem of insufficient reference tracking accuracy in servo system driven by
permanent magnet synchronous motor (PMSM), which limits its application. This paper aims …