Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
A data-driven indirect method for nonlinear optimal control
Gao Tang,
Kris Hauser
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A data-driven indirect method for nonlinear optimal control'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Nearest Neighbor
100%
Sensitivity Analysis
100%
Optimal Control
100%
Nonlinear Optimal Control
100%
Order of Magnitude
50%
Problem-based
50%
Vehicle Control
50%
Global Optimum
50%
Random Walk with Restart
50%
K-nearest
50%
Optimal Control Problem
50%
Local Minima
50%
Data-driven Framework
50%
Parameter Variation
50%
Similar Problem
50%
Global Optimal Solution
50%
Nonlinear Optimal Control Problem
50%
Method Analysis
50%
Agile Satellite
50%
Engineering
Indirect Method
100%
Optimal Control
100%
Nearest Neighbor
75%
Optimal Control Problem
50%
Millisecond
25%
Optimality
25%
Initial Guess
25%
Local Minimum
25%
Global Optimum
25%
Mathematics
Optimal Control Theory
100%
Nearest Neighbor
75%
Optimal Control Problem
50%
Optimality
25%
Approximates
25%
Global Optimum
25%
Local Minimum
25%
Analysis Technique
25%
Initial Guess
25%
Variation of Parameter
25%