Abstract
Tuning of physical plant models is considered in the context of monitoring and control of industrial processes. The problem of calibrating physical models is discussed. A method is proposed, consisting extending the physical model with finite impulse response (FIR) filters at the output. The approach is illustrated in extensive simulations and applied in state estimation using a nonlinear chemical continuous stirred tank reactor benchmark.
