Chapter 10

Adaptation and Learning Over Networks for Nonlinear System Modeling

Simone Scardapane; Jie Chen; Cédric Richard    Sapienza University of Rome, Rome, ItalyNorthwestern Polytechnical University, Xi'an, School of Marine Science and Technology, Xi'an, ChinaUniversité Côte d'Azur, Laboratoire Lagrange (UMR CNRS 7293), Nice, France


In this chapter, we analyze nonlinear filtering problems in distributed environments, e.g., sensor networks or peer-to-peer protocols. In these scenarios, the agents in the environment receive measurements in a streaming fashion, and they are required to estimate a common (nonlinear) model by alternating local computations and communications with their neighbors. We focus on the important ...

Get Adaptive Learning Methods for Nonlinear System Modeling now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.