Evaluation of set-membership approaches for data-driven tuning of two-degree-of-freedom controllers

INIS

• data 100%
• evaluation 100%
• errors 100%
• degrees of freedom 100%
• tuning 100%
• output 60%
• noise 40%
• stochastic processes 20%
• design 20%
• solutions 20%
• performance 20%
• transfer functions 20%
• sensitivity 20%
• disturbances 20%

Keyphrases

• Data-driven Tuning 100%
• Set-membership Approach 100%
• Two-degree-of-freedom Controller 100%
• Errors-in-variables 100%
• Output Error 50%
• Data-driven Controller Tuning 25%
• Unknown-but-bounded Noise 25%
• Equivalent Sets 25%
• Output-only Modal Identification 25%
• Closed-loop Reference Model 25%
• Data Controller 25%

Engineering

• Two Degree of Freedom 100%
• Output Error 100%
• Numerical Example 33%
• Transfer Function 33%
• Closed Loop 33%
• Stochastic Model 33%
• Controller Tuning 33%
• Error Identification 33%
• Equivalent Set 33%
• Reference Model 33%