A
multipass process is one that possesses two distinct properties;
repetitive operation and interaction between the state and/or output functions generated during successive cycles of operation. A repetitive process has strong structural links to two-dimensional systems, which propagate information in two separate directions that are considered as two distinct dimensions. An algorithm is a repetitive process that falls naturally into the area of 2-D systems where one dimensions is the time horizon of the system under investigation and the other is the progress of the iterations. In this paper we used the 2-D system theory techniques based on the theory of
unit memory repetitive processes to analyze the stability and
convergence behavior of an algotihm developed for solving
nonlinear optimal control problems.
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