发表论文
[1]Zhao, Xin hua; Sun, Yao; Zhao, Guo liang; Fan, Jia li ; mu-Synthesis robust controller de sign for the supercavitating vehicle based on the BTT strategy, Ocean Engineering, 2014, 88: 280- 288 (SCI)
[2]Zhao, Xinhua; Zhang, Xiaoyu; Ye, Xiufen; Liu, Yi ; Sliding mode controller design for sup ercavitating vehicles, Ocean Engineering, 2019, 184: 173-183 (SCI)
[3]Zhao Xinhua; Sun Yao; Qi Zengkun; Han Minyan ; Catastrophe characteristics and control of pitching supercavitating vehicles at fixed depths, Ocean Engineering, 2016, 112: 185-194 (SCI)
[4]ZHAO X H, WANG X, JING L T, et al. Backstepping control design of supercavitating vehicles based on cascade method[C]. 2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE), 2021: 164-168.
[5]ZHAO X H, ZHOU S S, WANG X, et al. A cascade approach for stability control of supercavitating vehicle[C]. 2020 Global Oceans, 2020.
[6]ZHAO X H, WANG X, DU Z S. Research on detection method for the leakage of underwater pipeline by YOLOv3[C]. 2020 IEEE International Conference on Mechatronics and Automation (ICMA), 2020: 637-642.
[7]ZHAO X H, YE L. Object Detection-based Visual SLAM for Dynamic Scenes[C]. 2022 IEEE International Conference on Mechatronics and Automation (ICMA), 2022: 1153-1158.
[8]ZHAO X H, Huang Z, Lv Y J. Research on Real-Time Diver Detection and Tracking Method Based on YOLOv5 and DeepSORT[C]. 2022 IEEE International Conference on Mechatronics and Automation (ICMA), 2022:191-196.
[9]ZHAO X H, Lv Y J, Huang Z.Multimodal Fusion-based Swin Transformer for Facial Recognition Micro-Expression Recognition[C],2022 IEEE International Conference on Mechatronics and Automation (ICMA), 2022:780-785.
[10]赵新华，牛凯彦, 王雪，冯志光. 基于扰动观测器的超空泡航行体H∞状态反馈[C], 2022国际制导、导航与控制学术会议(ICGNC), 2022
[11]赵新华，水下超高速航行体纵向运动的控制方法研究，工程力学；
[12]赵新华，水下超高速航行体的动力学建模及控制问题研究，哈尔滨工程大学学报；
[13]赵新华，虚拟海洋环境中潜艇的六自由度运动的视景仿真，系统仿真学报；
[14]赵新华，三维电子海图自动建模技术研究，哈尔滨工程大学学报；
[15]赵新华，超空泡航行体控制问题研究进展.力学进展。
