Parallel Processing Algorithms for the Optimal Control of Nonlinear Dynamic Systems

Abstract

This paper describes the recent development of parallel processing algorithms for solving optimal control problems for nonlinear dynamic systems. Both the deterministic and stochastic cases are considered. The resulting algorithms are applicable to a large range of parallel architecture computers, including Iliac IV, associative processors, and potential designs based on integrated circuit technology.