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Parameters identification of nonlinear Lorenz chaotic system for high-precision model reference synchronization
Chao Chung Peng
, Yang Rui Li
Department of Aeronautics and Astronautics
International Bachelor Degree Program on Energy Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Citations (Scopus)
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Dive into the research topics of 'Parameters identification of nonlinear Lorenz chaotic system for high-precision model reference synchronization'. Together they form a unique fingerprint.
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Mathematics
Arbitrary
9%
Chaotic System
77%
Convergence Speed
23%
Demonstrate
10%
Design
10%
Discretization
38%
Estimate
8%
Guess
19%
Identification Scheme
26%
Kalman Filter
21%
Model
5%
Model Reference Adaptive Control
83%
Observer
18%
Oscillation
13%
Output
13%
Parameter Estimation
31%
Parameter Identification
87%
Performance
10%
Prediction
13%
Reference Model
100%
Simulation
11%
Small Parameter
16%
Synchronization
71%
System Identification
42%
Transform
38%
Transient Dynamics
26%
Unknown Parameters
16%
Engineering & Materials Science
Chaos theory
17%
Chaotic systems
79%
Identification (control systems)
61%
Kalman filters
16%
Model reference adaptive control
67%
Parameter estimation
32%
Synchronization
55%