Identification algorithm for static object: transition from space of inputs-outputs to space of parameters estimates

We suggest an algorithm to identify a static control object with restrictions. We start with the case when the output measurement error leads to some probability of parameter estimates to leave the admissible set for all n-dimensional blocks. We then consider the case of large errors, when this probability is equal to zero. We study the connection between errors and probabilities using the Cramer formula.