Dayan Liu

Orcid: 0000-0003-2853-0129

According to our database1, Dayan Liu authored at least 58 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cross-Convolution Approach for Delay Estimation in Fractional-Order Time-Delay Systems.
Circuits Syst. Signal Process., May, 2024

2023
Nonasymptotic Fractional Derivative Estimation of the Pseudo-State for a Class of Fractional-Order Partial Unknown Nonlinear Systems.
IEEE Trans. Cybern., November, 2023

An improved iterative algorithm for solving optimal tracking control problems of stochastic systems.
Math. Comput. Simul., November, 2023

Observer normal form design for the nonlinear MIMO systems using coupled auxiliary dynamics.
Commun. Nonlinear Sci. Numer. Simul., November, 2023

Output-feedback consensus control for fractional nonlinear multi-agent systems via a distributed dynamic event-triggered observer strategy.
Inf. Sci., October, 2023

No Laplacian perfect state transfer in total graphs.
Discret. Math., September, 2023

Boundary state and output feedback stabilisation of a coupled time fractional hyperbolic equation.
Int. J. Syst. Sci., August, 2023

Innovative non-asymptotic and robust estimation method using auxiliary modulating dynamical systems.
Autom., June, 2023

Non-asymptotic and robust estimation for fractional order pseudo-state space model using an algebraic parametric method.
Digit. Signal Process., April, 2023

Distributed State Estimation for Fractional-Order Linear Systems Based on A Network of Reduced-Order Centralized Observers.
Proceedings of the 11th IEEE International Conference on Systems and Control, 2023

Simultaneous Algebraic Estimation of Pseudo-State and Disturbance for a Class of Fractional Order Linear Systems.
Proceedings of the 11th IEEE International Conference on Systems and Control, 2023

Fast and Robust Differentiator for Non-Commensurate Fractional-Order Linear Systems.
Proceedings of the 11th IEEE International Conference on Systems and Control, 2023

2022
Non-asymptotic and robust estimation for a class of nonlinear fractional-order systems.
Commun. Nonlinear Sci. Numer. Simul., 2022

Non-asymptotic estimation for fractional integrals of noisy accelerations for fractional order vibration systems.
Autom., 2022

Algebraic estimation for fractional integrals of noisy acceleration based on the behaviour of fractional derivatives at zero.
Appl. Math. Comput., 2022

A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint.
IEEE Access, 2022

Output-based algebraic disturbance estimation method for a class of disturbed fractional order linear systems.
Proceedings of the 10th International Conference on Systems and Control, 2022

Algebraic pseudo-state estimation for a linear fractional-order time-delay system.
Proceedings of the 10th International Conference on Systems and Control, 2022

State Estimation for a Class of Fractional-Order Linear Systems by the Generalized Modulating Functions Method.
Proceedings of the 10th International Conference on Systems and Control, 2022

2021
Modulating functions based differentiator of the pseudo-state for a class of fractional order linear systems.
J. Comput. Appl. Math., 2021

Some co-tame automorphisms of affine spaces.
Int. J. Algebra Comput., 2021

Selection of Modulating Functions' Design Parameters for Estimation Problems.
IEEE Control. Syst. Lett., 2021

Modulating functions based model-free fractional order differentiators using a sliding integration window.
Autom., 2021

Research on Key Information Recognition System Based on Bayesian Classification.
Proceedings of the ICSED 2021: 3rd International Conference on Software Engineering and Development, Xiamen, China, November 19, 2021

Model based algebraic fractional order differentiator using Laplace transform.
Proceedings of the 9th International Conference on Systems and Control, 2021

Repositioning Traditional Chinese Medicine to PI3K Pathway Proteins Based on Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

The binding affinity prediction of PI3K / Akt / mTOR signaling pathway proteins with drugs based on deep learning method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Repositioning Molecules of Chinese Medicine to Targets of SARS-Cov-2 by Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Numerical algorithm to solve generalized fractional pantograph equations with variable coefficients based on shifted Chebyshev polynomials.
Int. J. Comput. Math., 2019

On the series representation of nabla discrete fractional calculus.
Commun. Nonlinear Sci. Numer. Simul., 2019

Innovative fractional derivative estimation of the pseudo-state for a class of fractional order linear systems.
Autom., 2019

A hierarchical simple particle swarm optimization with mean dimensional information.
Appl. Soft Comput., 2019

2018
An improved pseudo-state estimator for a class of commensurate fractional order linear systems based on fractional order modulating functions.
Syst. Control. Lett., 2018

Lur'e Postnikov Lyapunov functional technique to global Mittag-Leffler stability of fractional-order neural networks with piecewise constant argument.
Neurocomputing, 2018

2017
Nonasymptotic Pseudo-State Estimation for a Class of Fractional Order Linear Systems.
IEEE Trans. Autom. Control., 2017

Model-free fractional order differentiator based on fractional order Jacobi orthonormal functions.
Digit. Signal Process., 2017

Non-asymptotic fractional order differentiator for a class of fractional order linear systems.
Autom., 2017

Modulating functions method for parameters estimation in the fifth order KdV equation.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

2016
Backstepping observer-based output feedback control for a class of coupled parabolic PDEs with different diffusions.
Syst. Control. Lett., 2016

Variable-order fractional numerical differentiation for noisy signals by wavelet denoising.
J. Comput. Phys., 2016

2015
Fractional Order Differentiation by Integration and Error Analysis in Noisy Environment.
IEEE Trans. Autom. Control., 2015

An algebraic fractional order differentiator for a class of signals satisfying a linear differential equation.
Signal Process., 2015

Robust fractional order differentiators using generalized modulating functions method.
Signal Process., 2015

Modulating Functions Based Algorithm for the Estimation of the Coefficients and Differentiation Order for a Space-Fractional Advection-Dispersion Equation.
SIAM J. Sci. Comput., 2015

Numerical solution for a class of nonlinear variable order fractional differential equations with Legendre wavelets.
Appl. Math. Lett., 2015

Finite element method for two-dimensional space-fractional advection-dispersion equations.
Appl. Math. Comput., 2015

A new model-based fractional order differentiator with application to fractional order PID controllers.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Online estimation of robot dynamic parameters using causal Jacobi differentiator.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Identification of robot dynamic parameters using Jacobi differentiator.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2014
The determination of an unknown source for a space fractional advection dispersion equation.
Proceedings of the 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2014

Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model.
Proceedings of the 13th European Control Conference, 2014

2013
Identification of fractional order systems using modulating functions method.
Proceedings of the American Control Conference, 2013

2012
Fractional order differentiation by integration with Jacobi polynomials.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
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).
PhD thesis, 2011

Error analysis of Jacobi derivative estimators for noisy signals.
Numer. Algorithms, 2011

Differentiation by integration with Jacobi polynomials.
J. Comput. Appl. Math., 2011

2010
Convergence Rate of the Causal Jacobi Derivative Estimator.
Proceedings of the Curves and Surfaces, 2010

2009
Error analysis for a class of numerical differentiator: application to state observation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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