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20192021
most citedDiscussion on a Class of Model-Free Adaptive Control for Multivariable Systems

6 citations · 12 across the 6 of their papers we have counts for

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eess.SY2021★ 3 cited

Model-Free Adaptive Control Compensated with Disturbance

Feilong Zhang

In this paper, we restudy how to modify the model-free adaptive control (MFAC) to reject the disturbance both in single-input single-output (SISO) systems and multiple-input multip…

eess.SY2020★ 1 cited

A New Model-Free Method Combined with Neural Networks for MIMO Systems

Feilong Zhang

In this brief, a model-free adaptive predictive control (MFAPC) is proposed. It outperforms the current model-free adaptive control (MFAC) for not only solving the time delay probl…

eess.SY2020★ 6 cited

Discussion on a Class of Model-Free Adaptive Control for Multivariable Systems

Feilong Zhang

The model-free adaptive control (MFAC) law is a promising method in applications. We analyzed model-free adaptive control (MFAC) law through closed-loop function to widen its appli…

eess.SY2020

Self-Tuning Control based on Modified Equivalent-Dynamic-Linearization Model

Feilong Zhang

The current model-free adaptive control (MFAC) method is designed on the basis of the equivalent-dynamic-linearization model (EDLM) with neglect of the time delay and disturbance i…

eess.SY2019

The PFDL-Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems

Feilong Zhang

In this paper, a novel partial form dynamic linearization (PFDL) data-driven model-free adaptive predictive control (MFAPC) method is proposed for a class of discrete-time single-i…

eess.SY2019★ 2 cited

Data-Driven Model-Free Adaptive Predictive Control and its Stability Analysis

Feilong Zhang

In this paper, a novel full form dynamic linearization (FFDL) data-driven model-free adaptive predictive control (MFAPC) method is proposed for a class of discrete-time single-inpu…