Cover image
by Jose C. Principe, Danilo Comminiello
Adaptive Learning Methods for Nonlinear System Modeling
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Acknowledgments
- Chapter 1: Introduction
- Part 1: Linear-in-the-Parameters Nonlinear Filters
- Chapter 2: Orthogonal LIP Nonlinear Filters
- Chapter 3: Spline Adaptive Filters
- Chapter 4: Recent Advances on LIP Nonlinear Filters and Their Applications
- Abstract
- Acknowledgements
- 4.1. Introduction
- 4.2. A Concise Categorization of State-of-the-Art LIP Nonlinear Filters
- 4.3. Fundamental Methods for Coefficient Adaptation
- 4.4. Significance-Aware Filtering
- 4.5. Experiments and Evaluation
- 4.6. Outlook on Model Structure Estimation
- 4.7. Summary
- References
- Part 2: Adaptive Algorithms in the Reproducing Kernel Hilbert Space
- Chapter 5: Maximum Correntropy Criterion–Based Kernel Adaptive Filters
- Chapter 6: Kernel Subspace Learning for Pattern Classification
- Chapter 7: A Random Fourier Features Perspective of KAFs With Application to Distributed Learning Over Networks
- Chapter 8: Kernel-Based Inference of Functions Over Graphs
- Part 3: Nonlinear Modeling With Multiple Learning Machines
- Part 4: Nonlinear Modeling by Neural Systems
- Chapter 12: Echo State Networks for Multidimensional Data: Exploiting Noncircularity and Widely Linear Models
- Chapter 13: Identification of Short-Term and Long-Term Functional Synaptic Plasticity From Spiking Activities
- Chapter 14: Adaptive H∞ Tracking Control of Nonlinear Systems Using Reinforcement Learning
- Chapter 15: Adaptive Dynamic Programming for Optimal Control of Nonlinear Distributed Parameter Systems
- Abstract
- Acknowledgements
- 15.1. Introduction
- 15.2. Problem Description
- 15.3. Model Reduction Based on KLD and Singular Perturbation Technique
- 15.4. Adaptive Optimal Control Design With NDP
- 15.5. Adaptive Optimal Control Based on Policy Iteration for Partially Unknown DPSs
- 15.6. Conclusions
- References
- Index
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.