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Dayan Liu
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2020 – today
- 2024
- [j39]Lei Wang, Da-Yan Liu
, Liang Huang, Olivier Gibaru:
A novel modulating functions-based non-asymptotic fractional order state differentiator for DC motor systems. Commun. Nonlinear Sci. Numer. Simul. 138: 108160 (2024) - [j38]Sharefa Asiri, Da-Yan Liu
Cross-Convolution Approach for Delay Estimation in Fractional-Order Time-Delay Systems. Circuits Syst. Signal Process. 43(5): 2873-2890 (2024) - [j37]Dayan Liu, Tao Song, Kang Na, Shudong Wang:
PED: a novel predictor-encoder-decoder model for Alzheimer drug molecular generation. Frontiers Artif. Intell. 7 (2024) - [j36]Haoran Liu, Qianrui Shi, Yanbin Cai, Niantai Wang, Liyue Zhang, Dayan Liu:
Fast Shrinking parents-children learning for Markov blanket-based feature selection. Int. J. Mach. Learn. Cybern. 15(8): 3553-3566 (2024) - 2023
- [j35]Jie Liu, Da-Yan Liu, Driss Boutat, Xuefeng Zhang, Ze-Hao Wu
Innovative non-asymptotic and robust estimation method using auxiliary modulating dynamical systems. Autom. 152: 110953 (2023) - [j34]Jie Liu, Lilia Ghaffour, Driss Boutat, Da-Yan Liu
Observer normal form design for the nonlinear MIMO systems using coupled auxiliary dynamics. Commun. Nonlinear Sci. Numer. Simul. 126: 107492 (2023) - [j33]Dayan Liu, Xiaogang Liu:
No Laplacian perfect state transfer in total graphs. Discret. Math. 346(9): 113529 (2023) - [j32]Jia-Chang Wang, Da-Yan Liu, Driss Boutat, Yong Wang, Ze-Hao Wu
Non-asymptotic and robust estimation for fractional order pseudo-state space model using an algebraic parametric method. Digit. Signal Process. 134: 103899 (2023) - [j31]Chunwan Lv, Chufen Wu, Ze-Hao Wu
Boundary state and output feedback stabilisation of a coupled time fractional hyperbolic equation. Int. J. Syst. Sci. 54(11): 2366-2381 (2023) - [j30]Jing Bai, Huaiqin Wu, Jinde Cao, Da-Yan Liu:
Output-feedback consensus control for fractional nonlinear multi-agent systems via a distributed dynamic event-triggered observer strategy. Inf. Sci. 646: 119380 (2023) - [j29]Shuangyun Xing
An improved iterative algorithm for solving optimal tracking control problems of stochastic systems. Math. Comput. Simul. 213: 515-526 (2023) - [j28]Zhi-Bo Wang, Da-Yan Liu
Nonasymptotic Fractional Derivative Estimation of the Pseudo-State for a Class of Fractional-Order Partial Unknown Nonlinear Systems. IEEE Trans. Cybern. 53(11): 7392-7405 (2023) - [c21]Yu-Qing Zhang, Da-Yan Liu, Driss Boutat, Yan-Qiao Wei:
Distributed State Estimation for Fractional-Order Linear Systems Based on A Network of Reduced-Order Centralized Observers. ICSC 2023: 875-880 - [c20]Yan-Qiao Wei, Da-Yan Liu, Changchun Hua:
Simultaneous Algebraic Estimation of Pseudo-State and Disturbance for a Class of Fractional Order Linear Systems. ICSC 2023: 881-885 - [c19]Chang Liu, Da-Yan Liu, Driss Boutat, Yong Wang, Yan-Qiao Wei:
Fast and Robust Differentiator for Non-Commensurate Fractional-Order Linear Systems. ICSC 2023: 886-890 - 2022
- [j27]Haoran Liu, Shaopeng Cui, Sheng Li, Niantai Wang, Qianrui Shi, Yanbin Cai, Liyue Zhang, Dayan Liu:
A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint. IEEE Access 10: 130719-130732 (2022) - [j26]Zhi-Bo Wang, Da-Yan Liu
Algebraic estimation for fractional integrals of noisy acceleration based on the behaviour of fractional derivatives at zero. Appl. Math. Comput. 430: 127254 (2022) - [j25]Yang Tian, Zhi-Bo Wang, Da-Yan Liu, Driss Boutat, Hao-Ran Liu:
Non-asymptotic estimation for fractional integrals of noisy accelerations for fractional order vibration systems. Autom. 135: 109996 (2022) - [j24]Chang Liu, Da-Yan Liu, Driss Boutat, Yong Wang, Ze-Hao Wu
Non-asymptotic and robust estimation for a class of nonlinear fractional-order systems. Commun. Nonlinear Sci. Numer. Simul. 115: 106752 (2022) - [c18]Zhi-Bo Wang, Da-Yan Liu, Driss Boutat, Xing Wei:
Algebraic pseudo-state estimation for a linear fractional-order time-delay system. ICSC 2022: 48-53 - [c17]Chang Liu, Dayan Liu, Driss Boutat, Yong Wang:
State Estimation for a Class of Fractional-Order Linear Systems by the Generalized Modulating Functions Method. ICSC 2022: 60-65 - [c16]Yan-Qiao Wei, Da-Yan Liu, Changchun Hua:
Output-based algebraic disturbance estimation method for a class of disturbed fractional order linear systems. ICSC 2022: 66-71 - 2021
- [j23]Yan-Qiao Wei, Da-Yan Liu, Driss Boutat, Hao-Ran Liu, Ze-Hao Wu
Modulating functions based model-free fractional order differentiators using a sliding integration window. Autom. 130: 109679 (2021) - [j22]Sharefa Asiri
Selection of Modulating Functions' Design Parameters for Estimation Problems. IEEE Control. Syst. Lett. 5(1): 277-282 (2021) - [j21]Dayan Liu, Fumei Liu, Xiaosong Sun
Some co-tame automorphisms of affine spaces. Int. J. Algebra Comput. 31(8): 1601-1612 (2021) - [j20]Yan-Qiao Wei
Modulating functions based differentiator of the pseudo-state for a class of fractional order linear systems. J. Comput. Appl. Math. 384: 113161 (2021) - [c15]Dayan Liu, Xun Wang, Zhenzhen Du, Jiali Liu, Yue Zhong, Qingyu Tian:
The binding affinity prediction of PI3K / Akt / mTOR signaling pathway proteins with drugs based on deep learning method. BIBM 2021: 1667-1672 - [c14]Yue Zhong, Xun Wang, Qingyu Tian, Dayan Liu, Ying Zhang, Huanhuan Dai, Gan Wang, Xudong Zhang:
Repositioning Traditional Chinese Medicine to PI3K Pathway Proteins Based on Deep Learning Method. BIBM 2021: 3957-3962 - [c13]Jia-Chang Wang, Da-Yan Liu, Driss Boutat, Yong Wang, Xuefeng Zhang:
Model based algebraic fractional order differentiator using Laplace transform. ICSC 2021: 300-305 - [c12]Chenran Li, Pengju Wang, Wenjing Li, Zixuan Ma, Hanran Liu, Dayan Liu:
Research on Key Information Recognition System Based on Bayesian Classification. ICSED 2021: 71-75 - 2020
- [c11]Tao Song, Yue Zhong, Mao Ding, Renteng Zhao, Qingyu Tian, Zhenzhen Du, Dayan Liu, Jiali Liu, Yufeng Deng:
Repositioning Molecules of Chinese Medicine to Targets of SARS-Cov-2 by Deep Learning Method. BIBM 2020: 2306-2312
2010 – 2019
- 2019
- [j19]Hao-Ran Liu, Jing-Chuang Cui, Ze-Dan Lu, Da-Yan Liu, Yu-Jing Deng:
A hierarchical simple particle swarm optimization with mean dimensional information. Appl. Soft Comput. 76: 712-725 (2019) - [j18]Yan-Qiao Wei, Da-Yan Liu, Driss Boutat:
Innovative fractional derivative estimation of the pseudo-state for a class of fractional order linear systems. Autom. 99: 157-166 (2019) - [j17]Yiheng Wei
On the series representation of nabla discrete fractional calculus. Commun. Nonlinear Sci. Numer. Simul. 69: 198-218 (2019) - [j16]Li-Ping Wang, Yi-Ming Chen, Da-Yan Liu
Numerical algorithm to solve generalized fractional pantograph equations with variable coefficients based on shifted Chebyshev polynomials. Int. J. Comput. Math. 96(12): 2487-2510 (2019) - 2018
- [j15]Li-Fei Wang, Huaiqin Wu
Lur'e Postnikov Lyapunov functional technique to global Mittag-Leffler stability of fractional-order neural networks with piecewise constant argument. Neurocomputing 302: 23-32 (2018) - [j14]Yan-Qiao Wei, Da-Yan Liu
An improved pseudo-state estimator for a class of commensurate fractional order linear systems based on fractional order modulating functions. Syst. Control. Lett. 118: 29-34 (2018) - 2017
- [j13]Da-Yan Liu, Gang Zheng, Driss Boutat, Hao-Ran Liu:
Non-asymptotic fractional order differentiator for a class of fractional order linear systems. Autom. 78: 61-71 (2017) - [j12]Xiao-Lin Li, Yi-Ming Chen, Da-Yan Liu
Model-free fractional order differentiator based on fractional order Jacobi orthonormal functions. Digit. Signal Process. 71: 69-82 (2017) - [j11]Xing Wei
Nonasymptotic Pseudo-State Estimation for a Class of Fractional Order Linear Systems. IEEE Trans. Autom. Control. 62(3): 1150-1164 (2017) - [c10]Sharefa Asiri
Modulating functions method for parameters estimation in the fifth order KdV equation. MED 2017: 30-35 - 2016
- [j10]Yi-Ming Chen, Yan-Qiao Wei
Variable-order fractional numerical differentiation for noisy signals by wavelet denoising. J. Comput. Phys. 311: 338-347 (2016) - [j9]Bainan Li
Backstepping observer-based output feedback control for a class of coupled parabolic PDEs with different diffusions. Syst. Control. Lett. 97: 61-69 (2016) - 2015
- [j8]Yanmin Zhao, Weiping Bu, Jianfei Huang, Da-Yan Liu
Finite element method for two-dimensional space-fractional advection-dispersion equations. Appl. Math. Comput. 257: 553-565 (2015) - [j7]Yi-Ming Chen, Yan-Qiao Wei
Numerical solution for a class of nonlinear variable order fractional differential equations with Legendre wavelets. Appl. Math. Lett. 46: 83-88 (2015) - [j6]Abeer Aldoghaither
Modulating Functions Based Algorithm for the Estimation of the Coefficients and Differentiation Order for a Space-Fractional Advection-Dispersion Equation. SIAM J. Sci. Comput. 37(6) (2015) - [j5]Dayan Liu
Robust fractional order differentiators using generalized modulating functions method. Signal Process. 107: 395-406 (2015) - [j4]Dayan Liu
An algebraic fractional order differentiator for a class of signals satisfying a linear differential equation. Signal Process. 116: 78-90 (2015) - [j3]Dayan Liu
Fractional Order Differentiation by Integration and Error Analysis in Noisy Environment. IEEE Trans. Autom. Control. 60(11): 2945-2960 (2015) - [c9]Qi Guo, Maxime Gautier, Da-Yan Liu
Identification of robot dynamic parameters using Jacobi differentiator. AIM 2015: 220-225 - [c8]Qi Guo, Dayan Liu
Online estimation of robot dynamic parameters using causal Jacobi differentiator. CDC 2015: 443-448 - [c7]Xing Wei
A new model-based fractional order differentiator with application to fractional order PID controllers. CDC 2015: 3718-3723 - 2014
- [c6]Chadia Zayane-Aissa
Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model. ECC 2014: 522-527 - [c5]Abeer Aldoghaither
The determination of an unknown source for a space fractional advection dispersion equation. MESA 2014: 1-6 - 2013
- [c4]Dayan Liu, Taous-Meriem Laleg-Kirati
Identification of fractional order systems using modulating functions method. ACC 2013: 1679-1684 - 2012
- [c3]Dayan Liu
Fractional order differentiation by integration with Jacobi polynomials. CDC 2012: 624-629 - 2011
- [b1]Da-Yan Liu:
Error analysis of a class of derivative estimators for noisy signals and applications. (Analyse d'Erreurs d'Estimateurs des Dérivées de Signaux Bruités et Applications). Lille University of Science and Technology, France, 2011 - [j2]Dayan Liu
Differentiation by integration with Jacobi polynomials. J. Comput. Appl. Math. 235(9): 3015-3032 (2011) - [j1]Dayan Liu
Error analysis of Jacobi derivative estimators for noisy signals. Numer. Algorithms 58(1): 53-83 (2011) - 2010
- [c2]Dayan Liu
Convergence Rate of the Causal Jacobi Derivative Estimator. Curves and Surfaces 2010: 445-455
2000 – 2009
- 2009
- [c1]Dayan Liu
Error analysis for a class of numerical differentiator: application to state observation. CDC 2009: 8238-8243
Coauthor Index
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