Improvement of optimization algorithm in active gas/odor sensing system

In the field of gas or odor sensing, it is difficult to quantify the composition of a mixture of aromas accurately. We proposed earlier the method of active sensing for this purpose and quantification was successfully performed in principle. Here, an optimization algorithm such as the gradient descent method for quantifying the mixture composition is improved by the introduction of least-squares and singular-value decomposition methods so that the stability of the system can be improved. Better convergence is achieved after the improvement.