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In this paper we presentan application of the adaptive multivariable Generalized Predictive Control (AMGPC) approach with measurable disturbances presence. The (AMGPC) which mixes the method of scheme identification using recursive least-squares with forgotten factor (FFRLS) algorithm and the scheme of generalized predictive response control design, has been presented and efficiently applied. The proposed method was verified by simulation of a microclimate greenhouse inside temperature and humidity control. The achieved results show that the AMGPC with disturbance deliver improved behaviour that standard techniques.