2023-07-122023-07-121988-01https://scripta.up.edu.mx/handle/123456789/3649Abstract A parallel computational process is simulated on a PC in order to determine the possible speedup of a parallel implementation of an optimal control algorithm. The parallelism is applied at the algorithmic level, which suggests the use of a real-time parallel programming language (for example ADA) for the target implementation. The algorithm is formulated as a number of interaction rules for its tasks, namely for the 'gradient' and 'object function' tasks which run concurrently in the real time. In the simulation model of the process, the tasks run concurrently in the model time. The experiment permits us to compare the performance of the parallel algorithm with that of a classical sequential algorithm.Resource Types::text::journal::journal article