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Published in 2019 at "International journal of neural systems"
DOI: 10.1142/s0129065719500047
Abstract: Spiking neural networks (SNN) are able to emulate real neural behavior with high confidence due to their bio-inspired nature. Many designs have been proposed for the implementation of SNN in hardware, although the realization of…
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Keywords:
compact hardware;
stochastic spiking;
neural networks;
synthesis stochastic ... See more keywords
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Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.48550/arxiv.2203.05903
Abstract: Neural networks (NNs) are emerging as powerful tools to represent the dynamics of control systems with complicated physics or black-box components. Due to complexity of NNs, however, existing methods are unable to synthesize complex behaviors…
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Keywords:
dynamic models;
control;
formal control;
control synthesis ... See more keywords