Virtual reference feedback tuning for MIMO plants by subspace identification

This paper deals with virtual reference feedback tuning (VRFT) for MIMO plants by one of the prediction based system identification (PBSID) methods. Since VRFT designs a feedback controller that minimizes the difference between the closed-loop system and the reference model, the optimized PBSID method, which minimizes the least squares of the prediction error, can be employed to estimate a full parameterization MIMO controller. Numerical examples illustrate the effectiveness of the proposed MIMO controller design methods.