Analysis of Two Step Learning Systems

Learning systems are evolving into a significant method to allow physical systems to track a desired trajectory. Frequency domain analysis has contributed to a better understanding of the behavior of learning systems. This paper proposes a method which uses the errors from both the previous trial and the second trial back. This law yields better convergence and model error tolerance than single step laws.