340 Papers
1.2K Citations
Yu-Ming Chu is an academic researcher from Changsha University of Science and Technology. The author has contributed to research in topics: Nanofluid & Convex function. The author has an hindex of 28, co-authored 292 publications.
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Papers
Adaptive neural finite-time control of nonlinear systems subject to sensor hysteresis
TL;DR: In this article , an adaptive neural control scheme is proposed for a class of unknown nonlinear systems with unknown sensor hysteresis, where the radial basis function neural networks are employed to approximate the unknown non-linearities and the backstepping technique is implemented to construct controllers.
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On configuring new choatic behaviours for a variable fractional-order memristor-based circuit in terms of Mittag-Leffler kernel
Yu-Ming Chu,Saima Rashid,Qurat ul Ain Asif,Mohammed Abdalbagi +3 more
TL;DR: This study configures new chaotic behaviors for a variable fractional-order memristor-based circuit using the Mittag-Leffler kernel, confirming existence and uniqueness via Banach fixed-point approach, and analyzing stability and sensitivity via Lyapunov exponent and bifurcation diagrams.
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Computing Irregularity Indices for Probabilistic Neural Network
TL;DR: This paper discusses thirteen irregularity indices for probabilistic neural networks (PNN) and their most critical use to date is in Neurochemistry.
Modeling of pressure-volume controlled artificial respiration with local derivatives.
TL;DR: In this article, a detailed exposition of the instantaneous volume in a lung is furnished by conformable derivative and such modified conformable derivatives as truncated M-derivative and proportional derivative.
Complex adaptive learning cortical neural network systems for solving time-fractional difference equations with bursting and mixed-mode oscillation behaviours
Yu-Ming Chu,Saima Rashid,Taher Alzahrani,H. Alhulayyil,Hatoon S. AlSagri,Shafiq ur Rehman +5 more
TL;DR: It is illustrated that the discrete fractional behaviour of the Izhikevich neuron framework can generate an assortment of resonances for cortical activity via the aforesaid scheme and the results suggest that the complex dynamics of spiking and bursting can be the result of the long-term dependence and interaction of intracellular and extracellular ionic currents.
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