Online identification of nonlinear spatiotemporal systems using kernel learning approach

Computer Science

• Learning Approach 100%
• Identification 100%
• Physical Characteristic 66%
• Linear System 66%
• Algorithms 33%
• Identification Problem 33%
• System Parameter 33%
• Benchmark 33%
• Physical Model 33%
• System Dynamic 33%
• Least Squares Methods 33%
• Identification Algorithm 33%
• Underlying System 33%
• Support Vector Machine 33%
• Dynamical System 33%
• Physical System 33%
• State Estimation 33%
• Relationships 33%
• Design 33%
• Control 33%
• Classes 33%
• Models 33%

Physics

• Learning 100%
• Linear Systems 66%
• Model 66%
• Output 66%
• Optimal Control 33%
• Dynamical System 33%
• Distributed Parameter Systems 33%
• State Estimation 33%
• Optimization 33%
• Systems Engineering 33%
• Significance 33%
• Information 33%

Engineering

• Distributed Parameter System 33%