Zheng Wang
Orcid: 0000-0002-4073-6923Affiliations:
- Northwestern Polytechnical University, School of Astronautics / National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China
According to our database1,
Zheng Wang
authored at least 38 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
A method for detecting process design intent in the process route based on heterogeneous graph convolutional networks.
Robotics Comput. Integr. Manuf., 2025
2024
A novel method based on deep reinforcement learning for machining process route planning.
Robotics Comput. Integr. Manuf., April, 2024
Fixed-time fuzzy disturbance observer-based adaptive integral sliding-mode spacecraft attitude control under time-varying output constraints.
J. Syst. Control. Eng., 2024
Reinforcement learning-based adaptive tracking control for mismatched non-affine nonlinear systems with coupled uncertainties.
J. Syst. Control. Eng., 2024
Dynamic scheduling for multi-level air defense with contingency situations based on Human-Intelligence collaboration.
Eng. Appl. Artif. Intell., 2024
A deep neural network approach with attention mechanism to improve the quality of target observation for UAVs.
Comput. Ind. Eng., 2024
A knowledge graph-based approach to modeling & representation for machining process design intent.
Adv. Eng. Informatics, 2024
2023
Disturbance observer-based neural adaptive stochastic control for a class of kinetic kill vehicle subject to unmeasured states and full state constraints.
J. Frankl. Inst., September, 2023
Unmodeled dynamics suppressed adaptive fault tolerant control for a class of space robots with actuator saturation and faults.
Eur. J. Control, September, 2023
Output feedback tracking control for nonholonomic wheeled mobile manipulator systems with full-output constraints.
J. Syst. Control. Eng., July, 2023
Performance-Guaranteed Adaptive Asymptotic Tracking for Nonlinear Systems With Unknown Sign-Switching Control Direction.
IEEE Trans. Autom. Control., February, 2023
2022
Dissipativity-Based Disturbance Attenuation Control for T-S Fuzzy Markov Jumping Systems With Nonlinear Multisource Uncertainties and Partly Unknown Transition Probabilities.
IEEE Trans. Cybern., 2022
Adaptive fuzzy fault-tolerant control for a class of kinetic kill vehicle with actuator faults and unmodeled dynamics.
J. Syst. Control. Eng., 2022
Comput. Ind., 2022
A competitive Markov decision process model and a recursive reinforcement-learning algorithm for fairness scheduling of agile satellites.
Comput. Ind. Eng., 2022
Control for systems with prescribed performance guarantees: An alternative interval theory-based approach.
Autom., 2022
2021
Dissipativity-Based Composite Antidisturbance Control for T-S Fuzzy Switched Stochastic Nonlinear Systems Subjected to Multisource Disturbances.
IEEE Trans. Fuzzy Syst., 2021
Super-twisting disturbance observer-based fuzzy adaptive finite-time control for a class of space unmanned systems with time-varying output constraints.
J. Syst. Control. Eng., 2021
Learning-based adaptive fault tolerant control for hypersonic flight vehicles with abrupt actuator faults and finite time prescribed tracking performance.
Eur. J. Control, 2021
BLS-based adaptive fault tolerant control for a class of space unmanned systems with time-varying state constraints and input nonlinearities.
Eur. J. Control, 2021
Broad-RBFNN-Based Intelligence Adaptive Antidisturbance Formation Control for a Class of Cluster Aerospace Unmanned Systems with Multiple High-Dynamic Uncertainties.
Complex., 2021
High-Order Disturbance Observer-Based Neural Adaptive Control for Space Unmanned Systems With Stochastic and High-Dynamic Uncertainties.
IEEE Access, 2021
Learning-Based Neural Adaptive Anti-Coupling Control for a Class of Robots Under Input and Structural Coupled Uncertainties.
IEEE Access, 2021
SODO Based Reinforcement Learning Anti-Disturbance Fault Toler-Ant Control for a Class of Nonlinear Uncertain Systems With Matched and Mismatched Disturbances.
IEEE Access, 2021
2020
Barrier Lyapunov Functions-Based Adaptive Fault Tolerant Control for Flexible Hypersonic Flight Vehicles With Full State Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Full State Constrained Adaptive Fuzzy Control for Stochastic Nonlinear Switched Systems With Input Quantization.
IEEE Trans. Fuzzy Syst., 2020
Adaptive Fuzzy Tracking Control for Strict-Feedback Markov Jumping Nonlinear Systems With Actuator Failures and Unmodeled Dynamics.
IEEE Trans. Cybern., 2020
Fuzzy adaptive fault tolerant IGC method for STT missiles with time-varying actuator faults and multisource uncertainties.
J. Frankl. Inst., 2020
Partial attitude stabilization underactuated control with disturbance observers for post-captured space robot.
J. Frankl. Inst., 2020
2019
Attitude stabilization and test validation of underactuated post-capture combination with multiple disturbances.
Trans. Inst. Meas. Control, 2019
2018
Partial stabilization of underactuated post-capture combination with inaccurate measurement information and unknown disturbances.
Trans. Inst. Meas. Control, 2018
Robust adaptive fault tolerant attitude control for post-capture non-cooperative targets with actuator nonlinearities.
Trans. Inst. Meas. Control, 2018
Trans. Inst. Meas. Control, 2018
Non-linear disturbance observer-based adaptive composite anti-disturbance control for non-linear systems with dynamic non-harmonic multisource disturbances.
Trans. Inst. Meas. Control, 2018
Robust adaptive fault tolerant control for a class of linearly parameterized uncertain nonlinear systems: An integrated method.
Trans. Inst. Meas. Control, 2018
Decentralized adaptive fault tolerant control for a class of interconnected systems with nonlinear multisource disturbances.
J. Frankl. Inst., 2018
2017
Neural network-based adaptive fault tolerant consensus control for a class of high order multiagent systems with input quantization and time-varying parameters.
Neurocomputing, 2017
Adaptive neural control for high order Markovian jump nonlinear systems with unmodeled dynamics and dead zone inputs.
Neurocomputing, 2017