Intelligent Command Filter Design for Strict Feedback Unmodeled Dynamic MIMO Systems With Applications to Energy Systems

This study presents a command filtered control scheme for multi-input multi-output (MIMO) strict feedback nonlinear unmodeled dynamical systems with its applications to power systems. To deal with dynamic uncertainties, a dynamic signal is introduced, together with radial basis function neural netwo...

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Bibliographic Details
Published inFrontiers in energy research Vol. 10
Main Authors Feng, Xuxiang, Shi, Lu, Zhang, Yumeng
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 24.05.2022
Subjects
command filter
dynamic uncertainty
MIMO system
power system
strict feedback nonlinear system
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Summary:This study presents a command filtered control scheme for multi-input multi-output (MIMO) strict feedback nonlinear unmodeled dynamical systems with its applications to power systems. To deal with dynamic uncertainties, a dynamic signal is introduced, together with radial basis function neural networks (RBFNNs) to overcome the influences of the dynamic uncertainties. Command filters (CFs) are used to prevent the explosion of complexity, where the compensating signals can eliminate the effect of filter errors. Compared with single-input single-output strict feedback nonlinear systems, the method proposed in this study has more suitability. In the end, the simulation experiments are carried out by applying the developed algorithm to power systems, where the simulation results verify the efficacy of the approach proposed.
ISSN:2296-598X
2296-598X
DOI:10.3389/fenrg.2022.899732