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A reduced complexity sub-optimal nonlinear predictor
K. C. Nisbet
, B. Mulgrew, S. McLaughlin
School of Health and Life Sciences
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Dive into the research topics of 'A reduced complexity sub-optimal nonlinear predictor'. Together they form a unique fingerprint.
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Keyphrases
Reduced Complexity
100%
Nonlinear Predictor
100%
Reduced State
100%
Radial Basis Function
50%
Performance Prediction
50%
Minimum Norm Solution
50%
Function Series
50%
Chaotic Time Series
50%
State Predictor
50%
Numerical Conditioning
50%
Volterra Series
50%
Geometrical Interpretation
50%
Numerical Properties
50%
Signal Subspace Approach
50%
Geometric Interpretation
50%
Computer Science
Radial Basis Function
100%
Prediction Performance
100%
Multiplicity
100%
Minimum Norm Solution
100%
State Solution
100%
Volterra Series
100%
Signal Subspace
100%
Geometric Interpretation
100%
Engineering
Radial Basis Function
100%
Prediction Performance
100%
Multiplicity
100%
Test Signal
100%
State Solution
100%
Norm Solution
100%
Mathematics
Geometrical Interpretation
100%
State Solution
100%
Basis Function
100%
Geometric Interpretation
100%
Earth and Planetary Sciences
Time Series
100%