Analysis of estimation errors in the identification of non-linear systems

Estimation errors introduced in the identification of non-linear systems are analysed. The influence of record length, mean level, power and bandwidth of the input excitation, the effects of input and output noise and errors introduced by the decomposition techniques are investigated. Experimental design and input selection are discussed and the results are illustrated by simulated examples,