Titlebook: Iterative Learning Control for Deterministic Systems; Kevin L. Moore Book 1993 Springer-Verlag London Limited 1993 Extension.algorithms.ar

Conducive

衰弱的心

Iterative Learning Control for Deterministic Systems

growth-factor

共和國(guó)

輕推

LTI Learning Control via Parameter Estimation,ed to get some idea of the best possible performance, we assumed the system dynamics were known. In this chapter we partially relax this assumption. We now consider the learning control problem when the plant has a known structure, but unknown parameters. Our approach to this problem will be based o

概觀

細(xì)胞膜

Serenity

Artificial Neural Networks for Iterative Learning Control,linear or time-varying systems. In this case it makes sense to consider learning controllers that also have a nonlinear or time-varying structure, such as the learning control scheme demonstrated in the previous chapter. A non-trivial question, however, is what type of nonlinear system should be con

evanescent

APO