Research on multivariable control performance assessment techniques

To avoid the problem of estimating a general interactor, an improved computational method for user-specified benchmark is presented in this paper. The improved user-specified benchmark together with the historical benchmark are then specified as two parallel benchmarks to form an integrated performance assessment strategy, which can detect any change in the performance of a control system and identify the potential improvement that can be made to the performance of the control system. Simulated examples are provided to illustrate the validity of the proposed methods.