DFG project on System Identification with Regularized Finite Impulse Response (FIR) Models
High quality models are the basis for most sophisticated methods in e.g., prediction, simulation, optimization, control, fault detection and diagnosis. System identification is concerned with the estimation of dynamic models from finite, noisy measurement data. Typically, system identification is applied…