Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Robust nonlinear system identification using neural-network models
Songwu Lu
,
Tamer Başar
Electrical and Computer Engineering
Coordinated Science Lab
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Robust nonlinear system identification using neural-network models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Neural Network
100%
Neural Network Model
100%
Nonlinear System Identification
100%
Radial Basis Function
66%
Identification Algorithm
66%
Optimization Technique
33%
Simulation Study
33%
Global Optimization
33%
Learning Algorithm
33%
State Information
33%
Nonlinear System
33%
State Measurement
33%
State Derivative
33%
Genetic Algorithm
33%
Engineering
Network Model
100%
Nonlinear System Identification
100%
Nonlinearity
100%
Excitation Condition
50%
Genetic Algorithm
25%
State Measurement
25%
Learning Algorithm
25%
Feedforward
25%
State Information
25%
Optimization Technique
25%
Control Input
25%
Nonlinear System
25%
Radial Basis Function Network
25%
Keyphrases
Disturbed State
25%