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• W3106331105 abstract "An adaptive controller is developed that is based on the multidimensional Taylor network (MTN). This controller is used for multi-input and multi-output (MIMO) uncertain discrete-time nonlinear systems. This newly developed MTN is dissimilar with the neural network, in which only multiplication and addition are needed for this controller. Thus, real-time control is more easily to be achieved. The theoretical analysis shows that the output errors of the system are convergent and the output signals are semi-globally, uniformly and ultimately bounded. To illustrate the validity of MTN-based adaptive controller (MTNAC), a numerical example is given. The simulation data demonstrate that this MNTAC has better real-time performance and higher robustness compared with neural networks." @default.
• W3106331105 created "2020-11-23" @default.
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• W3106331105 date "2021-05-01" @default.
• W3106331105 modified "2023-10-18" @default.
• W3106331105 title "MTN output feedback tracking control for MIMO discrete-time uncertain nonlinear systems" @default.
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• W3106331105 doi "https://doi.org/10.1016/j.isatra.2020.11.002" @default.
• W3106331105 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33250214" @default.
• W3106331105 hasPublicationYear "2021" @default.
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