Analysis of Reference Pattern Based on Regenerative Cyclic Sequences

Abstract An improved regenerative cycle techniques (RCT) for optimal pattern analysis is put forward. The proposed method is based on Markov ergodic chain and Block Finite position machine framework. This paper presents a study by means of the simulation, and the evolution of the pattern. Thus, through regenerative cycle techniques which allow us to analyze the accuracy in the medium and long run of these reference patterns. This evaluation and updating will allow us to resolve situations, where the system could lose the optimal conditions. An efficient mode to recover these conditions is to turn the system into the previous optimal conditions.