Adaptive Learning Methods for Nonlinear System Modeling

Chapter 10

Adaptation and Learning Over Networks for Nonlinear System Modeling

Simone Scardapane^⁎; Jie Chen^†; Cédric Richard^{‡    ⁎}Sapienza University of Rome, Rome, Italy^†Northwestern Polytechnical University, Xi'an, School of Marine Science and Technology, Xi'an, China^‡Université Côte d'Azur, Laboratoire Lagrange (UMR CNRS 7293), Nice, France

Abstract

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 ...