A multiple sub-models self-tuning control algorithm of non-uniformly sampled systems based on auxiliary-variable-model

Abstract

For the control issue of non-uniformly sampled data systems, a novel control scheme is proposed by using multiple sub-models. The input-output relationship model is obtained by using mathematical analysis and derivation for a class of multi-rates systems non-uniformly sampled from their continuous-time systems. For unmeasurable information vectors arising in the identification model, an auxiliary-model-based gradient descent identification algorithm is used to estimate the model parameters of the non-uniformly sampled systems. Next, we present a new self-tuning control scheme based on designing the controllers of multiple sub-models. Finally, the simulation example is studied to demonstrate the effectiveness of the proposed method.