LPV system identification using a separable least squares support vector machines approach

Mathematics

• Least Squares Support Vector Machine 100%
• System Identification 75%
• Output 45%
• Basis Functions 33%
• Scheduling 26%
• Coefficient 21%
• Nonlinear Function 17%
• Linear Combination 15%
• Linear dependence 11%
• Inaccurate 10%
• State-space Model 10%
• Infinite Dimensions 10%
• Gradient Method 9%
• Complex Functions 9%
• Invariant 9%
• Discrete-time Systems 9%
• Canonical form 8%
• Quadratic Function 8%
• Parameterization 8%
• Time-varying 8%
• Flexibility 8%
• Parameter Space 8%
• Continuous Time 7%
• State Space 7%
• Nonlinear Systems 6%
• Dependent 5%
• Iteration 5%
• Derivative 5%
• Estimate 4%
• Model 2%

Engineering & Materials Science

• Identification (control systems) 53%
• Support vector machines 49%
• Scheduling 15%
• Gradient methods 9%
• Parameterization 8%
• Model structures 8%
• Nonlinear systems 6%
• Derivatives 6%