Synchronization for fractional-order neural networks with full/under-actuation using fractional-order sliding mode control
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0646-z
Abstract: This paper considers synchronization between two fractional-order neural networks (FONNs). To handle the case of full/under-actuation, i.e. the dimension of the synchronization controller is equal to or less than that of the FONNs, a novel… read more here.
Keywords: order; order neural; neural networks; fractional order ... See more keywords
Stability analysis of fractional-order neural networks: An LMI approach
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.036
Abstract: Abstract This paper analyzes the stability of fractional-order neural networks (FNNs) without and with delay by the fractional Lyapunov direct method and the fractional Razumikhin-type theorem, respectively. S-procedure is applied to handle the nonlinear constraints… read more here.
Keywords: order neural; neural networks; stability analysis; fractional order ... See more keywords
New delay and order-dependent passivity criteria for impulsive fractional-order neural networks with switching parameters and proportional delays
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.04.099
Abstract: Abstract This work deals with the problem of passivity analysis of fractional-order neural networks (FONNs) with impulse, proportional delays and state-dependent switching parameters. The novelty of the work lies in addressing the crucial issue of… read more here.
Keywords: order neural; passivity; order; delay ... See more keywords
Higher-order neural processing tunes motion neurons to visual ecology in three species of hawkmoths
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the Royal Society B: Biological Sciences"
DOI: 10.1098/rspb.2017.0880
Abstract: To sample information optimally, sensory systems must adapt to the ecological demands of each animal species. These adaptations can occur peripherally, in the anatomical structures of sensory organs and their receptors; and centrally, as higher-order… read more here.
Keywords: motion; order neural; three species; higher order ... See more keywords
Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3191801
Abstract: This paper concentrates on the study of adaptive control for the synchronization of fractional-order neural networks. Instead of classical adaptive control updating method, an intermittent-active updating strategy is proposed to adaptively tune the control gain… read more here.
Keywords: neural networks; intermittent active; control; fractional order ... See more keywords
Global stabilization of memristor-based fractional-order neural networks with delay via output-feedback control
Sign Up to like & getrecommendations! Published in 2017 at "Modern Physics Letters B"
DOI: 10.1142/s0217984917500312
Abstract: In this paper, the memristor-based fractional-order neural networks (MFNN) with delay and with two types of stabilizing control are described in detail. Based on the Lyapunov direct method, the theories of set-value maps, differential inclusions… read more here.
Keywords: order neural; neural networks; memristor based; fractional order ... See more keywords
Hybrid Projective Synchronization of Fractional-order Neural Networks with Different Dimensions
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.88.084002
Abstract: This paper is concerned with the problem of hybrid projective synchronization between two fractional-order neural networks with the order lying in the interval \((1,2)\). The coupled networks have ... read more here.
Keywords: order neural; order; projective synchronization; neural networks ... See more keywords