A fast experimental procedure for the calibration of internal combustion engines microprocessor control systems is proposed. This procedure is based on using a new approach to the solution of many-parametric optimization problems with constraints. The main benefit of this approach is that it requires a minimum number of experimental measurements where the measurements can have a high level of noise stability to the inaccuracy of measurements and adjustments.
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