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20192022
most citedSystem Equivalence Transformation: Robust Convergence of Iterative Learning Control with Nonrepetitive Uncertainties

1 citations · 3 across the 4 of their papers we have counts for

collaborators

9 papers

eess.SY2022

Fundamental Trackability Problems for Iterative Learning Control

Deyuan Meng, Jingyao Zhang

Generally, the classic iterative learning control (ILC) methods focus on finding design conditions for repetitive systems to achieve the perfect tracking of any specified trajector…

eess.SY20211 cited

From Control to Mathematics-Part II: Observability-Based Design for Iterative Methods in Solving Linear Equations

Deyuan Meng

The control approaches generally resort to the tools from the mathematics, but whether and how the mathematics can benefit from the control approaches is unclear. This paper aims t…

math.GR2021

Characterization of Collective Behaviors for Directed Signed Networks

Wen Du, Deyuan Meng, Mingjun Du

This paper targets at exploring how to characterize collective behaviors of directed signed networks. The right eigenvector of the Laplacian matrix associated with zero eigenvalue…

eess.SY2021

From Control to Mathematics-Part I: Controllability-Based Design for Iterative Methods in Solving Linear Equations

Deyuan Meng, Yuxin Wu

In the interaction between control and mathematics, mathematical tools are fundamental for all the control methods, but it is unclear how control impacts mathematics. This is the f…

eess.SY20201 cited

Control Analysis and Synthesis of Data-Driven Learning: A Kalman State-Space Approach

Deyuan Meng

This paper aims to deal with the control analysis and synthesis problem of data-driven learning, regardless of unknown plant models and iteration-varying uncertainties. For the tra…

eess.SY20191 cited

System Equivalence Transformation: Robust Convergence of Iterative Learning Control with Nonrepetitive Uncertainties

Deyuan Meng, Jingyao Zhang

For iterative learning control (ILC), one of the basic problems left to address is how to solve the contradiction between convergence conditions for the output tracking error and f…