Keyphrases
Genetic Algorithm
100%
Optimal Control Problem
100%
Design Problems
100%
Optimal Design Problem
100%
Weight Adjustment
100%
Layered Approach
75%
Cost Function
50%
Numerical Experiments
50%
Complex Design
50%
Q-learning
50%
Weight Selection
50%
Selection Strategy
25%
System Performance
25%
Control Design
25%
Convergence Rate
25%
Active-passive
25%
Weight Matrix
25%
Control Effort
25%
Adaptive Structures
25%
Knowledge Reuse
25%
Control Problem
25%
System Control
25%
Design Parameters
25%
Trial-and-error
25%
Similarity Design
25%
High Computational Cost
25%
Slow Convergence
25%
Control Gain
25%
Active-passive Hybrid piezoelectric Network
25%
Hybrid Vibration Control
25%
Performance Effort
25%
Gain Parameters
25%
Learning Scheme
25%
Reinforcement Learning Algorithm
25%
Human Intuition
25%
Passive Hybrid
25%
Engineering
Genetic Algorithm
100%
Design Problem
100%
Optimal Design
100%
Optimal Control Problem
100%
Q-Learning
100%
Cost Function
28%
Numerical Experiment
28%
Design Parameter
14%
Piezoelectric
14%
Selection Process
14%
Vibration Control
14%
Computational Cost
14%
Rate of Convergence
14%
Systems Performance
14%
Gain Control
14%
Adaptive Structure
14%
Convergence Rate
14%
Reinforcement Learning Technique
14%
Learning Scheme
14%
Mathematics
Genetic Algorithm
100%
Optimal Control Theory
100%
Numerical Experiment
66%
Cost Function
66%
Convergence Rate
66%
Matrix (Mathematics)
33%
Minimizes
33%
Control Problems
33%
Computational Cost
33%
Trial and error
33%
Design Parameter
33%
Computer Science
Design Problem
100%
Genetic Algorithm
100%
Learning Algorithm
100%
Optimal Control Problem
100%
Convergence Rate
28%
Speed-up
14%
Design Parameter
14%
Systems Performance
14%
Selection Process
14%
Learning Technique
14%
Slow Convergence
14%
Learning Scheme
14%
Computational Cost
14%
Vibration Control
14%
Reinforcement Learning
14%