A system for manufacturing a three-dimensional structure comprising interconnected filaments, the system comprising: a support; a deposition unit including at least one nozzle arranged for discharging build material, wherein the at least one nozzle has an opening area through which filaments are discharged, wherein the at least one nozzle is in fluid communication with a material reservoir arranged to hold build material, wherein the at least one nozzle and the support are relatively moveable with respect to each other; a controller configured to operate during a printing operation the at least one nozzle for deposition of filaments on the support in a predetermined interconnected arrangement in a plurality of stacked layers; a sensor unit configured to monitor, at least during the printing operation, sensory data indicative of an actuation for performing deposition or sensory data indicative of at least one flow parameter of the build material; and a trained machine learning model configured to receive the sensory data as input, and to provide an output relating to control of at least one deposition control parameter for maintaining a predetermined deposition flow rate during the printing operation, and wherein the controller is configured to adjust, based on the output of the trained machine learning model, the at least one deposition control parameter during the printing operation; and wherein at least one sensor of the sensor unit is arranged to monitor the sensory data at at least one location upstream of the nozzle opening area; and wherein the sensor unit includes a first pressure sensor at a first location, and a second pressure sensor at a second location, wherein the first location and the second location are different, and wherein the first pressure sensor is arranged at the first location at the material reservoir, wherein the second pressure sensor is arranged at a location further downstream with respect to the first location. a support; a deposition unit including at least one nozzle arranged for discharging build material, wherein the at least one nozzle has an opening area through which filaments are discharged, wherein the at least one nozzle is in fluid communication with a material reservoir arranged to hold build material, wherein the at least one nozzle and the support are relatively moveable with respect to each other; a controller configured to operate during a printing operation the at least one nozzle for deposition of filaments on the support in a predetermined interconnected arrangement in a plurality of stacked layers; a sensor unit configured to monitor, at least during the printing operation, sensory data indicative of an actuation for performing deposition or sensory data indicative of at least one flow parameter of the build material; and a trained machine learning model configured to receive the sensory data as input, and to provide an output relating to control of at least one deposition control parameter for maintaining a predetermined deposition flow rate during the printing operation, and wherein the controller is configured to adjust, based on the output of the trained machine learning model, the at least one deposition control parameter during the printing operation; and wherein at least one sensor of the sensor unit is arranged to monitor the sensory data at at least one location upstream of the nozzle opening area; and wherein the sensor unit includes a first pressure sensor at a first location, and a second pressure sensor at a second location, wherein the first location and the second location are different, and wherein the first pressure sensor is arranged at the first location at the material reservoir, wherein the second pressure sensor is arranged at a location further downstream with respect to the first location.