Multiparameter Self-Adaptation Using Auxiliary Models

For a system with N-variable parameters, an N-dimensional parameter space defines a matrix of all possible parameter combinations. By subdividing the parameter space, assigning an auxiliary model to each subspace, and using them to scan, all values in the parameter matrix may be tested rapidly. Logic operations select the proper auxiliary model and initiate adjustments of the system parameters.