Control techniques for complex detectors based on digitized pulse shape analysis

In the framework of the NUSTAR project at FAIR we have to develop controls systems which integrate automated calibration, optimization and adaptive stabilization consisting basically of the characteristics of intelligent sensors and cognitive systems. In the controls concept for the NUSTAR experiments we investigate the condition of the hardware structure, the initialization and monitoring of the system also the optimization and calibration of the detectors. Based on the digitized detector signal/pulses online feedback will be provided based on our controls techniques which support a strong correlation between signal characteristics and detector settings. During the talk I present a status of our present work: baseline follower techniques, dynamic threshold determination and first results on self sustained calibration and optimisation loops.