代表性论文与专利:
[1] Jiaoliao Chen,Huan Chen, Fang Xu, Mengnan Lin, Dan Zhang, Libin Zhang. Real-time detection of mature table grapes using ESP-YOLO network on embedded platforms. Biosystems Engineering, 246, 2024, 122-134 (SCI, JCR一区,中科院TOP期刊)
[2] Zhijun Wu, Jiaoliao Chen*, Dan Zhang, Jiacai Wang, Libin Zhang, Fang Xu.A novel multi-point trajectory generator for robotic manipulators based on piecewise motion profile and series-parallel analytical strategy. Mechanism and Machine Theory 181, 2023, 105201 (SCI, JCR一区,中科院TOP期刊,通讯作者)
[3] Jiacai Wang, Jiaoliao Chen*, Libin Zhang, Fang Xu and Lewei Zhi. External force estimation for robot manipulator based on a LuGre-linear-hybrid friction model and an improved square root cubature Kalman filter. Industrial Robot: the international journal of robotics research and application. 50/1, 2023, 11-25 (SCI, JCR四区,通讯作者)
[4] 支乐威, 陈教料*, 王佳才, 胥芳, 张立彬. 基于参数优化的机器人花键装配偏角感知识别方法. 浙 江大学学报(工学版), 2022, 56(3):452-461 (EI, 通讯作者)
[5] 阮贵航, 陈教料*, 胥芳. 基于滚动优化和分散捕食者猎物模型的全覆盖路径规划算法. 控制与决策,网络首发,2022.05 (EI, 通讯作者)
[6] 胥芳, 沈一丰, 陈教料*, 王佳才. 基于接触力-姿态模型的机器人非刚体轴孔装配偏角预测方法. 高技术通讯 2022, 32(11):1188-1195 (A类, 通讯作者)
[7] Jiaoliao Chen, Xingai Zhuo, Fang Xu*, Jiacai Wang, Dan Zhang, Libin Zhang. A novel multi-classifier based on a density-dependent quantized binary tree LSSVM and the logistic global whale optimization algorithm. Applied Intelligence 50, 3808-3821, 2020. (SCI, JCR二区)
[8] Libin Zhang, Jiacai Wang, Jiaoliao Chen*, Kang Chen, Bangyang Lin, Fang Xu, Dynamic modeling for a 6-DOF robot manipulator based on a centrosymmetric static friction model and whale genetic optimization algorithm, Advances in Engineering Software, 2019, 135102684 (SCI, JCR一区,通讯作者)
[9] Jiaoliao Chen, Fang Xu, Binjie Ding, Nanye Wu, Zheng Shen, Libin Zhang, Performance analysis of radiation and electricity yield in a photovoltaic panel integrated greenhouse using the radiation and thermal models, Computers and Electronics in Agriculture, 2019, 164, 104904 (SCI, JCR一区)
[10] Jiaoliao Chen, Jiangxin Yang, Jiangwu Zhao, Fang Xu*, Zheng Shen, Libin Zhang. Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method[J], Neurocomputing 2016, 174:1087-1100 (SCI, JCR一区)
[11] Jiaoliao Chen, Fang Xu*, Dapeng Tan, Zheng Shen, Libin Zhang and Qinlin Ai. A Control Method for Agricultural Greenhouse Heating based on Computational Fluid Dynamics and Energy Prediction Model[J],Applied Energy 2015, 141:106-118 (SCI,中科院TOP).
[12] Jiaoliao Chen, Yanwen Cai, Fang Xu*, Haigen Hu and QingLin Ai. Analysis and Optimization of the Fan-pad Evaporative Cooling System for Greenhouse based on CFD[J], Advances in Mechanical Engineering, Volume 2014, 8 pages (SCI).
[13] Jiaoliao Chen, Jiangwu Zhao, Fang Xu*, Haigen Hu, QingLin Ai and Jiangxin Yang. Modeling of Energy Demand in the Greenhouse using PSO-GA Hybrid Algorithms[J], Mathematical Problems in Engineering Volume 2015, 6 pages (SCI)
[14] 陈教料,陈教选,杨将新,胥芳*,沈峥. 基于自加速遗传粒子群算法的半封闭式温室能耗预测[J]. 农业工程学报, 2015, 31(24):186-193. (EI)
[15] 胥芳,蔡彦文,陈教料*,张立彬. 湿帘-风机降温下的温室热/流场模拟及降温系统参数优化[J]. 农业工程学报, 2015, 31(9):201-208. (EI,通讯作者)
[16] 张任, 胥芳, 陈教料*, 潘国兵. 基于PSO-RBF神经网络的锂离子电池健康状态预测[J]. 中国机械工程, 2016, 27(21):2975-2981.
[17] 一种基于挠度分析的机器人非刚体装配方法,2022,中国, 发明专利,ZL2020216425750. (已授权, 排名第三).
[18] 一种基于GWA优化的工业网络DDoS入侵检测系统分类方法,2021,中国, 发明专利,ZL2019104679048. (已授权, 排名第一).
[19] 一种基于GWA-SVM的机器人装配的接触状态识别方法,2021,中国, 发明专利,ZL201910468277X. (已授权, 排名第三).
[20] 一种机器人装配姿态纠偏的软体致动器控制方法, 2020, 中国, 发明专利,ZL201910468268. (已授权, 排名第一).
[21] 一种基于中心对称静摩擦模型的机器人动力学建模方法, 2020, 中国, 发明专利, ZL201910131871X. (已授权, 排名第一).
[22] 一种基于WOA-GA混合优化算法的机器人关节控制力矩预测方法, 2020, 中国, 发明专利, ZL2019101327070. (已授权, 排名第一).
[23] 一种夹持小型零件的平行夹持装置, 2019, 中国,发明专利:ZL2017103288847. (已授权, 排名第一).
[24] 一种基于力矩控制的工业机器人避障轨迹规划方法2019, 中国,发明专利:ZL2017103215761. (已授权, 排名第一).
[25] 一种工业机器人的力矩控制方法,2019, 中国,发明专利:ZL2017103215761. (已授权, 排名第三).
[26] 一种微管道的软体两手指夹持装置2019, 中国,发明专利:ZL 2017103485402. (已授权, 排名第三).
[27] 一种基于计算流体力学和能量预测混合的温室节能控制方法, 2016, 中国,发明专利 ZL201410006503X.(授权,排名第一)
[28] 一种混合优化算法的温室能量预测方法2017, 中国,发明专利 ZL 201410144270X.(授权,排名第一)
[29] 温室环境系统多变量区间控制方法2019, 中国,发明专利 ZL 2016102071320.(授权,排名第三)