Reachable Set Estimation for Memristive Complex-Valued Neural Networks With Disturbances.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35446773.
- Also identified by DOI 10.1109/TNNLS.2022.3167117.
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Abstract
This brief focuses on reachable set estimation for memristive complex-valued neural networks (MCVNNs) with disturbances. Based on algebraic calculation and Gronwall-Bellman inequality, the states of MCVNNs with bounded input disturbances converge within a sphere. From this, the convergence speed is also obtained. In addition, an observer for MCVNNs is designed. Two illustrative simulations are also given to show the effectiveness of the obtained conclusions.