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A Multiple Sub-Models Self-Tuning Control Algorithm of Non-Uniformly Sampled Systems Based on Auxiliary-Variable-Model

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2015-05-23

Included Journals: Scopus、CPCI-S、EI

Page Number: 415-420

Key Words: multi-rates; non-uniformly sampling; adaptive control; identification; gradient descent

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.

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