Yiheng Wei
Orcid: 0000-0002-0080-5365
According to our database1,
Yiheng Wei
authored at least 52 papers
between 2014 and 2025.
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Bibliography
2025
Signal Process., 2025
2024
Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm.
J. Syst. Sci. Complex., December, 2024
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2024
Nabla fractional distributed optimization algorithms over undirected/directed graphs.
J. Frankl. Inst., 2024
Correction to "Nabla Fractional Distributed Optimization Algorithm Over Unbalanced Graphs".
IEEE Control. Syst. Lett., 2024
IEEE Control. Syst. Lett., 2024
2023
Stability and Stabilization for Delay Delta Fractional Order Systems: An LMI Approach.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023
Commun. Nonlinear Sci. Numer. Simul., November, 2023
LMI Stability Condition for Delta Fractional Order Systems With Region Approximation.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023
J. Syst. Sci. Complex., April, 2023
Analysis and Synthesis of Gradient Algorithms Based on Fractional-Order System Theory.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
The proof of Lyapunov asymptotic stability theorems for Caputo fractional order systems.
Appl. Math. Lett., 2022
2021
A Universal Framework of the Generalized Kalman-Yakubovich-Popov Lemma for Singular Fractional-Order Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Int. J. Syst. Sci., 2021
2020
J. Frankl. Inst., 2020
Fully parametric identification for continuous time fractional order Hammerstein systems.
J. Frankl. Inst., 2020
Neurocomputing, 2020
2019
State estimation for nonlinear discrete-time fractional systems: A Bayesian perspective.
Signal Process., 2019
Signal Process., 2019
A bias-compensated fractional order normalized least mean square algorithm with noisy inputs.
Numer. Algorithms, 2019
Sufficient and necessary conditions for stabilizing singular fractional order systems with partially measurable state.
J. Frankl. Inst., 2019
CoRR, 2019
Analysis and description of the infinite-dimensional nature for nabla discrete fractional order systems.
Commun. Nonlinear Sci. Numer. Simul., 2019
Commun. Nonlinear Sci. Numer. Simul., 2019
Identification for Hammerstein nonlinear systems based on universal spline fractional order LMS algorithm.
Commun. Nonlinear Sci. Numer. Simul., 2019
2018
Identification for Hammerstein nonlinear ARMAX systems based on multi-innovation fractional order stochastic gradient.
Signal Process., 2018
Clustering by defining and merging candidates of cluster centers via independence and affinity.
Neurocomputing, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
An innovative fractional order LMS based on variable initial value and gradient order.
Signal Process., 2017
J. Optim. Theory Appl., 2017
J. Frankl. Inst., 2017
An intelligent and improved density and distance-based clustering approach for industrial survey data classification.
Expert Syst. Appl., 2017
2016
Int. J. Syst. Sci., 2016
Subspace-based continuous-time identification of fractional order systems from non-uniformly sampled data.
Int. J. Syst. Sci., 2016
Neurocomputing, 2016
Commun. Nonlinear Sci. Numer. Simul., 2016
Indirect model reference adaptive control for a class of linear fractional order systems.
Proceedings of the 2016 American Control Conference, 2016
2015
On line parameter estimation based on gradient algorithm for fractional order systems.
J. Control. Decis., 2015
Neurocomputing, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
T-S fuzzy models based approximation for general fractional order nonlinear dynamic systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Tracking Differentiator Based Fractional Order Model Reference Adaptive Control: The 1 < α < 2 Case.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014