Dapeng Li

Orcid: 0000-0002-1584-8528

Affiliations:
  • Liaoning University of Technology, School of Electrical Engineering, Jinzhou, China


According to our database1, Dapeng Li authored at least 23 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Adaptive NN Controller of Nonlinear State-Dependent Constrained Systems With Unknown Control Direction.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent Systems Using Integral Barrier Lyapunov Functionals.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

2022
Observer-Based Adaptive Fuzzy Control for Nonlinear State-Constrained Systems Without Involving Feasibility Conditions.
IEEE Trans. Cybern., 2022

2021
Adaptive Neural Control Using Tangent Time-Varying BLFs for a Class of Uncertain Stochastic Nonlinear Systems With Full State Constraints.
IEEE Trans. Cybern., 2021

2020
Fuzzy Approximation-Based Adaptive Control of Nonlinear Uncertain State Constrained Systems With Time-Varying Delays.
IEEE Trans. Fuzzy Syst., 2020

Barrier Lyapunov Function-Based Adaptive Fuzzy FTC for Switched Systems and Its Applications to Resistance-Inductance-Capacitance Circuit System.
IEEE Trans. Cybern., 2020

2019
Adaptive Neural Network Control for Uncertain Time-Varying State Constrained Robotics Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Neural Network Controller Design for a Class of Nonlinear Delayed Systems With Time-Varying Full-State Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2019

Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay.
IEEE Trans. Cybern., 2019

Adaptive NN Control Without Feasibility Conditions for Nonlinear State Constrained Stochastic Systems With Unknown Time Delays.
IEEE Trans. Cybern., 2019

2018
Adaptive Neural Tracking Control for an Uncertain State Constrained Robotic Manipulator With Unknown Time-Varying Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Adaptive Fuzzy Tracking Control Based Barrier Functions of Uncertain Nonlinear MIMO Systems With Full-State Constraints and Applications to Chemical Process.
IEEE Trans. Fuzzy Syst., 2018

Adaptive Control via Neural Output Feedback for a Class of Nonlinear Discrete-Time Systems in a Nested Interconnected Form.
IEEE Trans. Cybern., 2018

Adaptive neural network-based control for a class of nonlinear pure-feedback systems with time-varying full state constraints.
IEEE CAA J. Autom. Sinica, 2018

Adaptive Neural Networks Control Using Barrier Lyapunov Functions for DC Motor System with Time-Varying State Constraints.
Complex., 2018

Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients.
Autom., 2018

2017
Adaptive Neural Tracking Control for Nonlinear Time-Delay Systems With Full State Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems With Full State Constraints.
IEEE Trans. Cybern., 2017

Approximation-Based Adaptive Neural Tracking Control of an Uncertain Robot with Output Constraint and Unknown Time-Varying Delays.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2015
Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with unknown time-delay.
Neurocomputing, 2015

Adaptive controller design-based neural networks for output constraint continuous stirred tank reactor.
Neurocomputing, 2015


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