Nonlinear System Indentification: From Classical Approaches to Neural Networks and Fuzzy Models

By:

Nelles, Oliver

Material type: Text

TextPublication details: 2001 Springer-Verlag GermanyDescription: 785pISBN:

9783540673699

Subject(s):

Instrumentation Engineering

DDC classification:

003.75 NEL

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	003.75 NEL (Browse shelf(Opens below))	Not For Loan		T0044073

Total holds: 0

Introduction
Part - 1: Optimization Techniques
Introduction to Optimization
Linear Optimization
Nonlinear Local Optimization
Nonlinear Global Optimization
Unsupervised Learning Techniques
Model Complexity Optimization
Summary of Part 1
Part - 2: Static Models
Introduction to Static Models
Linear, Polynomial, and Look-Up Table Models
Neural Networks
Fuzzy and Neuro Fuzzy Models
Local Linear Neuro Fuzzy Models: Fundamentals
Local Linear Neuro Fuzzy Models: Advanced Aspects
Summary of Part 2
Linear Dynamic System Identification
Nonlinear Dynamic System Identification
Classical Polynomial Approaches
Dynamic Neural and Fuzzy Models
Dynamic Local Linear Neuro Fuzzy Models
Neural Networks with Internal Dynamics
Part - 4: Applications
Applications of Static Models
Applications of Dynamic Models
Applications of Advanced Methods
A: Vectors and Matrices
B: Statistics
References
Index

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