Project supported by the National Natural Science Foundation of China(Nos.U1813210,62027812,and 62273185)。
In this paper,observer-based control for fractional-order singular systems with orderα(0<α<1)and input delay is studied.On the basis of the Smith predictor and approximation error,the system with input delay is appr...
supported by the National Natural Science Foundation of China(No.51876089);the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems,China(No.GZKF-202005)。
In this paper,an intelligent fractional-order integral sliding mode control(FOISMC)strategy based on an improved cascade observer is proposed.First,an FOISMC strategy is designed to control a permanent magnet synchron...
This study analyzes the problem of robust stability of fractional-order delay systems of neutral type under actuator saturation.A Lyapunov–Krasovskii(LK)function is constructed and conditions of the asymptotic robust...
Project supported by the National Key Research and Development Program of China (No. 2018YFC0830300);the National Natural Science Foundation of China (No. 61571312)。
We propose a novel circuit for the fractional-order memristive neural synaptic weighting(FMNSW).The introduced circuit is different from the majority of the previous integer-order approaches and offers important advan...
Project supported by the National Natural Science Foundation of China(No.61201438);the Key Project of Education Department of Sichuan Province,China(No.18ZA0235);the Research Fund of Key Laboratory of Internet Natural Language Processing of Sichuan Education Department,China(No.INLP201904);the Research Fund of Leshan Normal University,China(No.LZD003)。
Given that the existing image denoising methods damage the texture details of an image,a new method based on fractional integration is proposed.First,the fractional-order integral formula is deduced by generalizing th...
A robust polynomial observer is designed based on passive synchronization of a given class of fractional-order Colpitts(FOC)systems with mismatched uncertainties and disturbances.The primary objective of the proposed ...
Project supported by the National Key Research and Development Program of China(No.2018YFC0830300);the National Natural Science Foundation of China(No.61571312)。
We introduce the fractional-order global optimal backpropagation machine,which is trained by an improved fractionalorder steepest descent method(FSDM).This is a fractional-order backpropagation neural network(FBPNN),a...
Multi-focus image fusion is an increasingly important component in image fusion,and it plays a key role in imaging.In this paper,we put forward a novel multi-focus image fusion method which employs fractional-order de...
Project supported by the National Natural Science Foundation of China(No.61803386);the Natural Science Foundation of Shanghai,China(No.19ZR1400500)。
In this study,we focus on the controllability of fractional-order damped systems in linear and nonlinear cases with multiple time-varying delays in control.For the linear system based on the Mittag-Leffler matrix func...
Project supported by the National Natural Science Foundation of China(No.11971032);the Science and Technology Program of Guangzhou,China(No.201707010031)。
A novel color image encryption algorithm based on dynamic deoxyribonucleic acid(DNA)encoding and chaos is presented.A three-neuron fractional-order discrete Hopfield neural network(FODHNN)is employed as a pseudo-rando...