عنوان

Adaptive learning methods for nonlinear system modeling

electronic

Comminiello, Danilo

Adaptive learning methods for nonlinear system modeling

Amsterdam

Butterworth-Heinemann

2018

edited by Danilo Comminiello, Jose C. Principe

1. Introduction PART I LINEAR-IN-THE-PARAMETERS NONLINEAR FILTERS 2. Orthogonal LIP Nonlinear Filters 3. Spline Adaptive Filters: Theory and Applications 4. Recent Advances on LIP Nonlinear Filters and Their Applications: Efficient Solutions and Significance Aware Filtering PART II ADAPTIVE ALGORITHMS IN THE REPRODUCING KERNEL HILBERT SPACE 5. Maximum Correntropy Criterion Based Kernel Adaptive Filters 6. Kernel Subspace Learning for Pattern Classification 7. A Random Fourier Features Perspective of KAFs with Application to Distributed Learning over Networks 8. Kernel-based Inference of Functions over Graphs PART III NONLINEAR MODELING WITH MULTIPLE LEARNING MACHINES 9. Online Nonlinear Modeling via Self-Organizing Trees 01. Adaptation and Learning Over Networks for Nonlinear System Modeling 11. Cooperative Filtering Architectures for Complex Nonlinear Systems PART IV NONLINEAR MODELING BY NEURAL NETWORKS 21. Echo State Networks for Multidimensional Data: Exploiting Noncircularity and Widely Linear Models 31. Identification of Short-Term and Long-Term Functional Synaptic Plasticity from Spiking Activities 41. Adaptive H Tracking Control of Nonlinear Systems using Reinforcement Learning 51. Adaptive Dynamic Programming for Optimal Control of Nonlinear Distributed Parameter Systems

، Nonlinear systems Mathematical models

، Adaptive control systems

، Adaptive signal processing

AU

AU Principe, J. C. )Jose C.( ]editor[