System identification: theory for the user
System identification: theory for the user
Iterative minimization of H2 control performance criteria
Automatica (Journal of IFAC)
Variance-error quantification for identified poles and zeros
Automatica (Journal of IFAC)
Brief Direct iterative tuning via spectral analysis
Automatica (Journal of IFAC)
Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers
Automatica (Journal of IFAC)
Hi-index | 22.14 |
Model reference control design methods fail when the plant has one or more non-minimum phase zeros that are not included in the reference model, leading possibly to an unstable closed loop. This is a very serious problem for data-based control design methods, where the plant is typically unknown. In this paper, we extend the Virtual Reference Feedback Tuning method to non-minimum phase plants. This extension is based on the idea proposed in Lecchini and Gevers (2002) for Iterative Feedback Tuning. We present a simple two-step procedure that can cope with the situation where the unknown plant may or may not have non-minimum phase zeros.