This
paper focuses on the control system performance in industrial control
processes and evaluates the controller performance using the assessment
criterion based on linear quadratic Gaussian (LQG). The LQG performance
benchmark curve is determined by the numerical calculation method,
which avoids the calculation of the complex interaction matrix. This
method depends on the model-based steady-state optimization technique
and combines the LQG benchmark and the performance assessment of the
control system. The control performance of the process system under
different control strategies is described by establishing a series
of the steady-state optimization problems. Compared with existing
assessment algorithms, our method provides a simpler and more effective
method to evaluate the performance of IMC-PID control system for both
model match and model mismatch cases. Finally, the effectiveness of
the method is verified by the experiments on a heating furnace.