Dongdong Zheng

Orcid: 0000-0002-7080-2370

Affiliations:
  • Beijing Institute of Technology, School of Automation, China


According to our database1, Dongdong Zheng authored at least 25 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
Nonsmooth funnel function-based model-free adaptive sliding-mode control for discrete-time nonlinear systems.
J. Frankl. Inst., November, 2023

Set-Membership Adaptive Robot Control With Deterministically Bounded Learning Gains.
IEEE Trans. Ind. Informatics, August, 2023

Robust Nonlinear MPC With Variable Prediction Horizon: An Adaptive Event-Triggered Approach.
IEEE Trans. Autom. Control., June, 2023

Visual Servoing Control of Robotics With A Neural Network Estimator Based on Spectral Adaptive Law.
IEEE Trans. Ind. Electron., 2023

Intelligent control for robotic manipulator with adaptive learning rate and variable prescribed performance boundaries.
J. Frankl. Inst., 2023

2022
Non-Linear Bandwidth Extended-State-Observer Based Non-Smooth Funnel Control for Motor-Drive Servo Systems.
IEEE Trans. Ind. Electron., 2022

Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems.
IEEE Trans. Cybern., 2022

Integral predictor based prescribed performance control for multi-motor driving servo systems.
J. Frankl. Inst., 2022

Indirect adaptive control of multi-input-multi-output nonlinear singularly perturbed systems with model uncertainties.
Neurocomputing, 2022

Prescribed performance control with input indicator for robot system based on spectral normalized neural networks.
Neurocomputing, 2022

Data-Driven Distributed Online Learning Control for Islanded Microgrids.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

Data-Driven Control and Its Applications to Microgrids.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Event-triggered resilient control for cyber-physical systems under periodic DoS jamming attacks.
Inf. Sci., 2021

2020
Composite learning control of robotic systems: A least squares modulated approach.
Autom., 2020

Data-driven distributed frequency/voltage and power sharing control for islanded microgrids.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019

2017
Identification and Control for Singularly Perturbed Systems Using Multitime-Scale Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Identification and Trajectory Tracking Control of Nonlinear Singularly Perturbed Systems.
IEEE Trans. Ind. Electron., 2017

Adaptive robust finite-time neural control of uncertain PMSM servo system with nonlinear dead zone.
Neural Comput. Appl., 2017

Adaptive optimal control of unknown nonlinear systems with different time scales.
Neurocomputing, 2017

Robust identification for singularly perturbed nonlinear systems using multi-time-scale dynamic neural network.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2015
Identification and control for singularly perturbed systems using multi-time-scale neural networks.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Identification for nonlinear singularly perturbed system using recurrent high-order multi-time scales neural network.
Proceedings of the American Control Conference, 2015

2013
Adaptive Control for Nonlinear Pure-Feedback Systems With High-Order Sliding Mode Observer.
IEEE Trans. Neural Networks Learn. Syst., 2013

2011
Adaptive control of robotic servo system with friction compensation.
Proceedings of the IEEE 5th International Conference on Robotics, 2011


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