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Advanced Controllers for Electromechanical Motion Systems
Duy Cuong Nguyen
Research output
:
Thesis
›
PhD Thesis - Research UT, graduation UT
604
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Dive into the research topics of 'Advanced Controllers for Electromechanical Motion Systems'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Learning
100%
Controller
100%
Feedforward Control
100%
Model
77%
Network
27%
Error
27%
Noise Measurement
27%
Stability
18%
Algorithms
13%
Rejection
13%
Input
13%
Tracking
13%
Feedback
9%
Control System
9%
Research
9%
Comparison
9%
Requirement
9%
Parameter
9%
Utilization
9%
Degree of Freedom
4%
Convention
4%
Tradeoff
4%
Tripod
4%
Shape
4%
Difference
4%
Plant
4%
Reliability
4%
Nonlinearity
4%
Speed
4%
Thesis
4%
Time
4%
Motor
4%
Setup
4%
Transient Response
4%
Goal
4%
Attenuation
4%
Good
4%
Show
4%
Efficiency
4%
Physics
Feedforward Control
100%
Controllers
100%
Learning
100%
Model
77%
Performance
31%
Noise Measurement
27%
Stability
18%
Independent Variables
9%
Algorithms
9%
Feedback
9%
Utilization
9%
Speed
4%
Shapes
4%
Plant
4%
Differences
4%
Reliability
4%
Degrees of Freedom
4%
Attenuation
4%
Motors
4%
Transient Response
4%
Variations
4%
Engineering
Linear Quadratic Gaussian
22%
Input Combination
4%
Fast Transient
4%
Proportional-Integral-Derivative Control
4%
Direct Model
4%
Conflicting Goal
4%
Feedforward Path
4%
Computer Science
Linear Quadratic Gaussian
22%
Transient Response
4%
Input Combination
4%
Input Reference
4%
lyapunov theory
4%