Chengwei Wu

Orcid: 0000-0001-9600-0205

Affiliations:
  • Harbin Institute of Technology, Harbin, China


According to our database1, Chengwei Wu authored at least 49 papers between 2015 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Switching-Based Moving Target Defense Control Against Cyberattacks.
IEEE Trans. Syst. Man Cybern. Syst., November, 2025

Event-Triggered Secure Control Under Aperiodic DoS Attacks.
IEEE Trans Autom. Sci. Eng., 2025

Attack detection and security control for quadrotor under stealthy attacks.
Syst. Control. Lett., 2025

2024
Secure Control for Cyber-Physical Systems Subject to Aperiodic DoS Attacks.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Adaptive Interval Type-2 Fuzzy Neural Network-Based Novel Fixed-Time Backstepping Control for Uncertain Euler-Lagrange Systems.
IEEE Trans. Fuzzy Syst., May, 2024

Security Analysis and Control Under Periodic DoS Attacks.
IEEE Internet Things J., 2024

Input-output data based tracking control under DoS attacks.
Int. J. Control, 2024

An effective metaheuristic technology of people duality psychological tendency and feedback mechanism-based Inherited Optimization Algorithm for solving engineering applications.
Expert Syst. Appl., 2024

Safety reinforcement learning control via transfer learning.
Autom., 2024

2023
A Secure Robot Learning Framework for Cyber Attack Scheduling and Countermeasure.
IEEE Trans. Robotics, October, 2023

Deep Reinforcement Learning Control of Fully-Constrained Cable-Driven Parallel Robots.
IEEE Trans. Ind. Electron., July, 2023

Editorial: Safety and security of robotic systems: intelligent algorithms.
Frontiers Neurorobotics, June, 2023

Deep reinforcement learning control approach to mitigating actuator attacks.
Autom., June, 2023

Evolutionary Utility Prediction Matrix-Based Mission Planning for Unmanned Aerial Vehicles in Complex Urban Environments.
IEEE Trans. Intell. Veh., February, 2023

Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories.
CoRR, 2023

Construction of Virtual Teaching and Research Section of Circuit Analysis Course in U-learning Era.
Proceedings of the 12th IEEE International Conference on Educational and Information Technology, 2023

2022
Secure Control for Cyber-Physical Systems Under Malicious Attacks.
IEEE Trans. Control. Netw. Syst., 2022

Security of Cyber-Physical Systems: State Estimation and Control
396, Springer, ISBN: 978-3-030-88349-2, 2022

2021
Zero-Sum Game-Based Optimal Secure Control Under Actuator Attacks.
IEEE Trans. Autom. Control., 2021

Learning Tracking Control for Cyber-Physical Systems.
IEEE Internet Things J., 2021

2020
Active Defense-Based Resilient Sliding Mode Control Under Denial-of-Service Attacks.
IEEE Trans. Inf. Forensics Secur., 2020

Model reduction for discrete-time periodic systems with dissipativity.
Int. J. Syst. Sci., 2020

Lyapunov-Based Reinforcement Learning State Estimator.
CoRR, 2020

2019
Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone.
IEEE Trans. Neural Networks Learn. Syst., 2019

Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems With Packet Dropouts and Actuator Failure.
IEEE Trans. Fuzzy Syst., 2019

Event-triggering dissipative control of switched stochastic systems via sliding mode.
Autom., 2019

2018
Observer-Based Adaptive Fault-Tolerant Tracking Control of Nonlinear Nonstrict-Feedback Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018

Secure Estimation for Cyber-Physical Systems via Sliding Mode.
IEEE Trans. Cybern., 2018

Dissipativity-Based Reliable Interval Type-2 Fuzzy Filter Design for Uncertain Nonlinear Systems.
Int. J. Fuzzy Syst., 2018

Finite frequency fuzzy H∞ control for uncertain active suspension systems with sensor failure.
IEEE CAA J. Autom. Sinica, 2018

2017
Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Adaptive Fuzzy Control for Nonlinear Networked Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Reliable Filter Design for Sensor Networks Using Type-2 Fuzzy Framework.
IEEE Trans. Ind. Informatics, 2017

Fuzzy Tracking Control for Nonlinear Networked Systems.
IEEE Trans. Cybern., 2017

Adaptive fuzzy tracking control for a class of pure-feedback nonlinear systems with time-varying delay and unknown dead zone.
Fuzzy Sets Syst., 2017

Observer-based adaptive fuzzy tracking control of nonlinear systems with time delay and input saturation.
Fuzzy Sets Syst., 2017

2016
Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables.
IEEE Trans. Fuzzy Syst., 2016

Filtering of Interval Type-2 Fuzzy Systems With Intermittent Measurements.
IEEE Trans. Cybern., 2016

A new compensation for fuzzy static output-feedback control of nonlinear networked discrete-time systems.
Signal Process., 2016

Adaptive fuzzy backstepping dynamic surface control for nonlinear Input-delay systems.
Neurocomputing, 2016

Design of observer-based controller for T-S fuzzy systems with intermittent measurements.
Neurocomputing, 2016

Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method.
Neurocomputing, 2016

Fuzzy guaranteed cost output tracking control for fuzzy discrete-time systems with different premise variables.
Complex., 2016

Robust control of uncertain semi-Markovian jump systems using sliding mode control method.
Appl. Math. Comput., 2016

2015
Control of Nonlinear Networked Systems With Packet Dropouts: Interval Type-2 Fuzzy Model-Based Approach.
IEEE Trans. Cybern., 2015

Robust finite-time state estimation of uncertain neural networks with Markovian jump parameters.
Neurocomputing, 2015

Output tracking control for a class of continuous-time T-S fuzzy systems.
Neurocomputing, 2015

New dissipativity condition of stochastic fuzzy neural networks with discrete and distributed time-varying delays.
Neurocomputing, 2015


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