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Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2860944
Abstract: In this paper, the problem of adaptive neural state-feedback tracking control is considered for a class of stochastic nonstrict-feedback nonlinear switched systems with completely unknown nonlinearities. In the design procedure, the universal approximation capability of…
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Keywords:
control;
neural state;
feedback;
state feedback ... See more keywords
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Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0240267
Abstract: We propose a modular architecture for neuromorphic closed-loop control based on bistable relaxation oscillator modules consisting of three spiking neurons each. Like its biological prototypes, this basic component is robust to parameter variation but can…
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Keywords:
modular robot;
robot;
neural state;
state machine ... See more keywords