Application of a distributed generalised predictive controller for adaptive control of a crystal growth process

Describes a distributed generalized predictive controller (DGPC) which has been successfully applied to a crystal growth process based on the temperature oscillation method. The proper selection of the sampling period for every loop is made by a supervisor module. Good quality control has been achieved in the two possible modes of operation-periodically oscillating source temperature and periodically oscillating crystal temperature. Long term adaptive control shows stability and high performance of the DGPC during the whole experiment