Adaptive IIR system identification with fixed pole location via balanced model truncation

Adaptive filtering theory reveals obstacles concerning convergence and stability in the IIR situation. Here we show how to completely avoid the stability problem while also reducing convergence difficulties-all by the application of the Balanced Model Truncation (BMT) algorithm. The specific case of system identification is investigated.