In this paper, we consider a least-squares (LS)-based distributed algorithm build on sensor network to estimate an unknown parameter vector of dynamical system, where each in the has partial information only but is allowed communicate with its neighbors. Our main task generalize well-known theoretical results traditional LS current case by establishing both upper bound accumulated regrets adapt...

A fundamental task in scientific computing is to estimate parameters in a mathematical model from collected data which are subject to errors. The influence of the errors can be reduced by using a greater number of data than the number of unknowns. If the model is linear, the resulting problem is then to “solve” an in general inconsistent linear system Ax = b, where A ∈ Rm×n and m ≥ n. In other ...