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西北工业大学 国内
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Adaptive Tracking Control for Unknown Dynamics Systems with SINDYc-based Sparse Identi¯cation
Guibing Yang, Tao Wang, Ming Yang,
Dengxiu Yu
, Zhen Wang
光电与智能研究院
No. 92941 Unit of PLA
Northwestern Polytechnical University Xian
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探究 'Adaptive Tracking Control for Unknown Dynamics Systems with SINDYc-based Sparse Identi¯cation' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
tracking control
100%
Control Algorithm
100%
System Dynamic
100%
Neural Network
50%
And-States
50%
Machine Learning
50%
Learning System
50%
Computational Complexity
50%
Tracking Error
50%
Training Data
50%
Control Method
50%
Stability Analysis
50%
Driven Approach
50%
Control Signal
50%
Engineering
Non-Linear Dynamics
100%
Control Algorithm
66%
Computational Complexity
33%
Learning System
33%
Stability Analysis
33%
Controller Design
33%
System State
33%
Model-Based Control
33%
Control Input
33%
Robot Arm
33%
Control Signal
33%
Single Link
33%