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Zhenzhong Chu
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2020 – today
- 2024
- [j14]Yuhao Liu, Zhenzhong Chu, Lifei Wei:
A Channel Contrastive Attention-Based Local-Nonlocal Mutual Block on Super-Resolution. IEICE Trans. Inf. Syst. 107(9): 1219-1227 (2024) - [j13]Zhenzhong Chu
, Zhenhao Gu
A Fault Diagnostic Approach for Underwater Thrusters Based on Generative Adversarial Network. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j12]Zhenzhong Chu
Local 2-D Path Planning of Unmanned Underwater Vehicles in Continuous Action Space Based on the Twin-Delayed Deep Deterministic Policy Gradient. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 2775-2785 (2024) - 2023
- [j11]Wenyang Gan, Lixia Su, Zhenzhong Chu:
Trajectory Planning of Autonomous Underwater Vehicles Based on Gauss Pseudospectral Method. Sensors 23(4): 2350 (2023) - [j10]Yuhao Liu
A Dynamic Fusion of Local and Non-Local Features-Based Feedback Network on Super-Resolution. Symmetry 15(4): 885 (2023) - [j9]Zhenzhong Chu
Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance. IEEE Trans. Intell. Veh. 8(1): 108-120 (2023) - [j8]Wen Pang, Daqi Zhu
Distributed Adaptive Formation Reconfiguration Control for Multiple AUVs Based on Affine Transformation in Three-Dimensional Ocean Environments. IEEE Trans. Veh. Technol. 72(6): 7338-7350 (2023) - [j7]Xing Liu
A Sphere Region Tracking Control Scheme for Underwater Vehicles. IEEE Trans. Veh. Technol. 72(8): 9835-9844 (2023) - [c17]Cheng Zhang, Wenyang Gan, Zhenzhong Chu, Haikun Di:
A Launch Device for Autonomous Underwater Vehicle Used in Water Conveyance Tunnel. CACRE 2023: 46-51 - [c16]Yu Wang, Zhenzhong Chu, Yongli Hu:
Path Planning of Unmanned Underwater Vehicles Based on Deep Reinforcement Learning Algorithm. ICARM 2023: 250-254 - 2022
- [j6]Yuhao Liu
A Local and Non-Local Features Based Feedback Network on Super-Resolution. Sensors 22(24): 9604 (2022) - [c15]Haikun Di, Zhenzhong Chu:
Design of indoor mobile robot based on ROS and lidar. RobCE 2022: 62-66 - 2021
- [j5]Wende Zhao, Decheng Wang, Zhenzhong Chu
Fuzzy Sliding Mode Control Method for AUV Buoyancy Regulation System. Complex. 2021: 4791162:1-4791162:12 (2021) - [j4]Zhenzhong Chu
Observer-based adaptive neural sliding mode trajectory tracking control for remotely operated vehicles with thruster constraints. Trans. Inst. Meas. Control 43(13) (2021) - [c14]Zejun Sun, Zhenzhong Chu:
Design of seven-function master-slave underwater electric manipulator. CACRE 2021: 51-56 - [c13]Qishan Dong, Zhenzhong Chu:
Brushless DC Motor Driver based on SA306A Integrated Switching Amplifier. CACRE 2021: 403-408 - [c12]Mingzhi Chen
Comparison of GBNN Path Planning with Different Map Partitioning Approaches. ICIRA (4) 2021: 523-533 - [c11]Qinqin Fan, Yihao Wang, Okan K. Ersoy, Ning Li, Zhenzhong Chu:
Dynamic Multi-objective Optimization via Sliding Time Window and Parallel Computing. ICSI (2) 2021: 45-57
2010 – 2019
- 2019
- [c10]Ming Huang, Daqi Zhu, Zhenzhong Chu:
Thruster Fault Tolerant Control Scheme for 4500-m Human Occupied Vehicle. CAA SAFEPROCESS 2019: 226-231 - 2018
- [j3]Zhenzhong Chu, Xianbo Xiang
Adaptive Fuzzy Sliding Mode Diving Control for Autonomous Underwater Vehicle with Input Constraint. Int. J. Fuzzy Syst. 20(5): 1460-1469 (2018) - [c9]Bing Sun, Xixi Zhu, Wei Zhang, Daqi Zhu, Zhenzhong Chu:
Three Dimensional AUV Complete Coverage Path Planning with Glasius Bio-inspired Neural Network. ICIRA (2) 2018: 125-136 - [c8]Zhenzhong Chu
Adaptive Trajectory Tracking Control for Remotely Operated Vehicles Based on Disturbance Observer. ICIRA (2) 2018: 137-146 - 2017
- [j2]Zhenzhong Chu, Daqi Zhu, Simon X. Yang
Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1633-1645 (2017) - [c7]Zhenzhong Chu, Daqi Zhu, Chaomin Luo
Adaptive neural sliding mode trajectory tracking control for autonomous underwater vehicle without thrust model. CASE 2017: 1639-1644 - [c6]Chunni Zhong, Chaomin Luo
A continuous hopfield neural network based on dynamic step for the traveling salesman problem. IJCNN 2017: 3318-3323 - [c5]Lifang Xu, Hongwei Mo, Jiao Zhao, Chaomin Luo
Magnetotactic Bacteria Optimization Algorithm Based on Moment Interaction Energy. ICSI (1) 2017: 80-87 - [c4]Chaomin Luo
An Improved Ant-Driven Approach to Navigation and Map Building. ICSI (1) 2017: 301-309 - 2016
- [j1]Zhenzhong Chu, Daqi Zhu, Simon X. Yang:
Adaptive terminal sliding mode Based Sensorless Speed control for underwater thruster. Int. J. Robotics Autom. 31(3) (2016) - 2015
- [c3]Chunlei Cheng, Daqi Zhu, Bing Sun, Zhenzhong Chu, Jianduo Nie, Sheng Zhang:
Path planning for autonomous underwater vehicle based on artificial potential field and velocity synthesis. CCECE 2015: 717-721 - [c2]Zhenzhong Chu, Daqi Zhu, Bing Sun, Jianduo Nie, Di Xue:
Design of a dead reckoning based motion control system for small autonomous underwater vehicle. CCECE 2015: 728-733 - [c1]Zhenzhong Chu, Daqi Zhu:
3D path-following control for autonomous underwater vehicle based on adaptive backstepping sliding mode. ICIA 2015: 1143-1147
Coauthor Index
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