Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 32224322.
- Also identified by DOI 10.1016/j.neunet.2020.03.014.
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Abstract
In the paper, exponential synchronization issue is considered for memristive neural networks (MNNs) with time-varying delays via quantized sliding-mode algorithm. Quantized Sliding-mode controller is introduced to ensure the slave system can be exponentially synchronized with the host system via the super-twisting algorithm, which has been proved in the main results. Quantization function consists of uniform quantizer and logarithmic quantizer. Simulation results are given with comparisons between two quantizers in the end.
Medical subject headings
- Algorithms
- Neural Networks, Computer