Parallelization of long-range predictive control methods

The use of parallel processing techniques offers interesting perspectives for the application of advanced control algorithms in time-critical situations. In this paper the parallelization of some long-range predictive control (LRPC) algorithms is examined. A study is made of the speed-up that can be obtained through proper parallelization of the underlying mathematical matrix routines. Two LRPC-methods are applied to the position control of a DC-servomotor.<<ETX>>