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A performance-driven MPC algorithm for underactuated bridge cranes
Hanqiu Bao
, Qi Kang
, Jing An
, Xianghua Ma
,
Meng Chu Zhou
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
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Keyphrases
Active Learning Framework
33%
Anti-sway
33%
Bayesian Optimization
33%
Bridge Crane
100%
Closed-loop Performance
33%
Continuous Experiment
33%
Control Architecture
33%
Control Constraints
33%
Control Performance
33%
Control Targets
33%
Controller
66%
Controller Parameters
66%
Crane
33%
Crane System
33%
Data-driven Methods
33%
Desired Performance
33%
Driving Model
33%
Dual-layer
33%
Dynamic Model
100%
Experiment Results
33%
Experimental Optimization
33%
Identification Approach
33%
Iterative Manner
33%
Iterative Optimization
33%
Layer Control
33%
Learning Stages
33%
Linear Dynamic Model
33%
Locally Linear
33%
Loop Controller
66%
Model Predictive Control Algorithm
33%
Modeling Parameters
33%
MPC Algorithm
100%
Optimal Control Strategy
33%
Outer Loop
33%
Parameter Update
33%
Performance Effectiveness
33%
Performance-based
100%
Physical Systems
33%
Plant Modeling
33%
Prediction Error
33%
Prediction Model
33%
Proportional-integral-derivative Controller
33%
State-of-the-art Techniques
33%
Suboptimal Performance
33%
Superior Performance
33%
System Identification
33%
Traditional System
33%
Trolley
66%
Two Dimensional
33%
Under-actuated
100%
Computer Science
Active Learning
100%
Complex Environment
100%
Control Algorithm
100%
Learning Framework
100%
Parameter Model
100%
Physical System
100%
Prediction Error
100%
Prediction Model
100%
Predictive Model
100%
Superior Performance
100%
System Identification
100%
Engineering
Closed Loop
25%
Control Algorithm
25%
Control Architecture
25%
Control Constraint
25%
Control Scheme
25%
Control Target
25%
Controller Parameter
50%
Derivative Controller
25%
Dynamic Models
100%
Loop Controller
50%
Optimal Control
25%
Outer Loop
25%
Physical System
25%
Prediction Error
25%
Predictive Control Model
25%
State-of-the-Art Method
25%
System Identification Approach
25%
Tasks
25%
Two Dimensional
25%
Chemical Engineering
Predictive Control Model
100%