朱善良，博士，副教授，硕士生导师，青岛市人工智能海洋技术创新中心副主任，学院数学与交叉研究院副院长，山东赛区数学建模竞赛专家组成员。主要从事非线性系统智能控制、人工智能海洋大数据技术及应用的研究工作。主持或参与各级各类教学科研项目20余项，在国内外期刊发表学术论文60余篇，其中被SCI、EI检索40余篇，参编教材1部。 曾获得山东省教学成果奖一等奖1项、二等奖1项、中国石油和化学工业联合会教育科学研究成果二等奖1项、学院教学成果一等奖2项；增获得“全国大学生数学建模竞赛优秀指导老师”、“全国大学生数学建模竞赛山东赛区优秀辅导老师”、“全国大学生数学建模竞赛山东赛区优秀组织者”、“学院十大杰出青年”、“学院优秀教师”等荣誉称号。指导学生参加全国大学生数学建模竞赛、中国研究生数学建模竞赛、美国大学生数学建模竞赛等各类竞赛获国家一等奖9项、国家二等奖28项、国家三等奖13项、山东省一等奖35项、山东省二等奖10项、山东省三等奖5项。指导本科生参加国家大学生创新计划项目3项。 近五年的主要科研论文 [1] Li, Na; Han, Yu-Qun; He, Wen-Jing; Zhu, Shan-Liang. A novel network-based controller design for a class of stochastic nonlinear systems with multiple faults and full state constraints [J]. International Journal of Control, 2023, DOI: 10.1080/00207179.2022.2163297. (SCI) [2] He, Wen-Jing; Zhu, Shan-Liang; Li, Na; Han, Yu-Qun. Adaptive controller design for switched stochastic nonlinear systems subject to unknown dead-zone input via new type of network approach, International Journal of Control, Automation and Systems[J]. 2023, 21(2): 499–507. (SCI) [3] Huang, Jing; Zhang, Linlin; Zhu, Shanliang; et al. The reliable sampling interval for monitoring interannual variability of the Kuroshio transport at 18°N. Journal of Sea Research. 2023, 193, 102374. (SCI) [4] Wang, Ming-Xin; Zhu, Shan-Liang; Liu, Si-Min; Du, Yang; Han, Yu-Qun. Design of Adaptive Finite-Time Fault-Tolerant Controller for Stochastic Nonlinear Systems with Multiple Faults[J]. IEEE Transactions on Automation Science and Engineering, 2022, DOI: 10.1109/TASE.2022.3206328 (SCI) [5] Zhu, Shan-Liang; Han, Yu-Qun. Adaptive decentralized prescribed performance control for a class of large-scale nonlinear systems subject to nonsymmetric input saturations[J]. Neural Computing & Applications, 2022(13): 11123-11140. (SCI) [6] Zhu, Shan-Liang; Wang, Ming-Xin; Han, Yu-Qun.Adaptive multi-dimensional Taylor network control for nonlinear stochastic systems with time-delay[J]. Proceedings of The Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, 2022(3): 579-591. (SCI) [7] Han, Yu-Qun; He, Wen-Jing; Li, Na; Zhu, Shan-Liang. Tracking control for large-scale switched nonlinear systems subject to asymmetric input saturation and output hysteresis: A new adaptive network-based approach[J]. International Journal of Robust and Nonlinear Control, 2022(14): 8052-8072. (SCI) [8] He, Wen-Jing; Zhu, Shan-Liang; Li, Na; Han, Yu-Qun. Adaptive finite-time control for switched nonlinear systems subject to multiple objectives constraints via multi-dimensional Taylor network approach[J]. ISA Transactions, 2022, DOI: 10.1016/j.isatra.2022.10.048. (SCI) [9] Li, Na; Han, Yu-Qun; He, Wen-Jing; Zhu, Shan-Liang. Control design for stochastic nonlinear systems with full-state constraints and input delay: a new adaptive approximation method[J]. International Journal of Control Automation and Systems, 2022(8): 2768-2778. (SCI) [10] Gu, Chen; Qi, Jifeng; Zhao, Yizhi; Yin, Wenming; Zhu, Shanliang. Estimation of the mixed layer depth in the indian ocean from surface parameters: a clustering-neural network method[J]. Sensors, 2022(15): 5600 (SCI). [11] Chu, Lei; Gao, Tian; Wang, Ming-Xin; Han, Yu-Qun; Zhu, Shan-Liang. Adaptive decentralized control for large-scale nonlinear systems with finite-time output constraints by multi- dimensional Taylor network[J]. Asian Journal of Control, 2022(4): 1769-1779. (SCI) [12] He, Wen-Jing; Han, Yu-Qun; Li, Na; Zhu, Shan-Liang. Novel adaptive controller design for a class of switched nonlinear systems subject to input delay using multi-dimensional Taylor network[J]. International Journal of Adaptive Control and Signal Processing, 2022(3): 607-624. (SCI) [13] Shan, Zheng-Duo; He, Wen-Jing; Han, Yu-Qun; Zhu, Shan-Liang. Adaptive decentralized tracking control for a class of large-scale nonlinear systems with dynamic uncertainties using multi-dimensional Taylor network approach[J]. Neural Processing Letters, 2022, DOI: 10.1007/s11063-022-11020-3. (SCI) [14] Wang, Ming-Xin; Zhu, Shan-Liang; Han, Yu-Qun. Multi-dimensional Taylor network-based control for a class of nonlinear stochastic systems with full state time-varying constraints and the finite-time output constraint[J]. Asian Journal of Control, 2022(6): 3311-3325. (SCI) [15] Zhu, Shanliang; Zhao, Yu; Zhang, Yanjie; Li, Qingling; Wang, Wenwu; Yang, Shuguo. Short-term traffic flow prediction with wavelet and Multi-dimensional Taylor network model[J]. IEEE Transactions on Intelligent Transportation Systems, 2021(5): 3203-3208. (SCI) [16] Gao, Tian; Zhu, Shanliang; Liu, Jing; Shen, Jun; Shen, Jialie; Yang, Shuguo; Xiong, Pengcheng. A new context-aware approach for automatic Chinese poetry generation[J]. Knowledge-Based Systems, 2021(232):107409. (SCI) [17] Han, Yu-Qun; He, Wen-Jing; Li, Na; Zhu, Shan-Liang. Adaptive Tracking Control of a Class of Nonlinear Systems with Input Delay and Dynamic Uncertainties Using Multi-dimensional Taylor Network[J]. International Journal of Control Automation and Systems, 2021(12): 4078-4089. (SCI) [18] Han, Yu-Qun; Zhu, Shan-Liang; Duan, De-Yu; Chu, Lei; Xiong, Peng-Cheng; Yang, Shu-Guo. Observer-based adaptive neural tracking control for a class of stochastic nonlinear systems[J]. International Journal of Control, 2021(5): 1344-1354. (SCI) [19] Han, Yu-Qun; Li, Na; He, Wen-Jing; Zhu, Shan-Liang. Adaptive multi-dimensional Taylor network funnel control of a class of nonlinear systems with asymmetric input saturation[J]. International Journal of Adaptive Control and Signal Processing, 2021(5): 713-726. (SCI) [20] Haoyu Wang; Tingqiang Song; Shanliang Zhu; Shuguo Yang; Liqiang Feng. Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean[J]. Mathematics, 2021(8): 852. (SCI) [21] Han Yu-Qun; Zhu Shan-Liang; Yang Shu-Guo; Chu Lei. Adaptive multi-dimensional Taylor network tracking control for a class of nonlinear systems[J]. International Journal of Control, 2021(2): 277-285. (SCI) [22] Chu Lei; Han Yu-Qun; Zhu Shan-Liang; Wang Ming-Xin. Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters[J]. Transactions of the Institute of Measurement and Control, 2021(3): 646-655. (SCI) [23] Zhu, Shan-Liang; Duan, De-Yu; Chu, Lei; Wang, Ming-Xin; Han, Yu-Qun; Xiong, Peng-Cheng. Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity[J]. Transactions of the Institute of Measurement and Control, 2020(13): 2482-2491. (SCI) [24] Shanliang Zhu; Chengcheng Li; Yi Yang; Qingling Li. Temperature control of rubber composites by adaptive multi-dimensional Taylor network during microwave heating process[J]. Progress In Electromagnetics Research M, 2020: 115-125. (EI) [25] ShanLiang Zhu; Lei Chu; MingXin Wang; Yuqun Han; Shuguo Yang. Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems[J]. IEEE Access, 2020: 77298-77307. (SCI) [26] Shanliang Zhu; Shufang Zhang; Xinli Zhang; Qingling Li. Response Solutions for a Singularly Perturbed System Involving Reflection of the Argument[J]. Advances in Mathematical Physics, 2020: 1-9. (SCI) [27] Han, Yu-Qun; Zhu, Shan-Liang; Duan, De-Yu; Yang, Shu-Guo. Adaptive neural output feedback tracking control for a class of nonlinear systems[J]. International Journal of Systems Science, 2019(11): 2088-2101. (SCI) [28] Han, Yu-Qun; Zhu, Shan-Liang; Duan, De-Yu; Chu, Lei; Yang, Shu-Guo. Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network[J]. Transactions of the Institute of Measurement and Control, 2019(16): 4499-4510. (SCI) [29] 汤贵艳; 朱善良; 周伟峰; 杨树国. 基于高斯混合聚类和LightGBM算法的印度洋次表层温度反演研究[J]. 学院学报(自然科学版), 2023, 201 (02): 116-126. [30] 朱善良; 韩玉群; 邢建民; 杨树国. 数学建模活动促进教学与科研融合的研究与实践[J]. 数学建模及其应用, 2021(04): 38-42. [31] 初蕾; 朱善良; 王明新; 韩玉群. 具有有限时间输出约束的切换非线性时滞系统的多维泰勒网自适应控制[J]. 控制与决策, 2022(02): 361-369. [32] 朱善良; 王浩宇; 高鑫; 赵玉; 谢秋玲; 周伟峰; 杨树国. 一种基于改进混合高斯模型的运动目标检测算法[J]. 学院学报(自然科学版), 2019(04): 113-118. [33] 朱善良; 李涛; 顾雨晨; 李成成; 陈海龙; 王东旭; 李庆领. 微波加热多层橡胶复合材料的温度场分布及界面特性研究[J]. 橡胶工业, 2020(06): 415-422. [34] Na Li;Y ang Du; Yu-Qun Han; Shan-Liang Zhu. Adaptive Multi-dimensional Taylor Network Control for Stochastic Nonlinear Systems with Full State Constraints and Dead-zone Input[A]. 34th Chinese Control and Decision Conference[C]. 2022: 271-276. [35] Wen-Jing He; Si-Min Liu; Shan-Liang Zhu; Yu-Qun Han. Adaptive Tracking Control for Switched Nonlinear Systems Subject to Input Delay and Saturation Using Multi-Dimensional Taylor Network Approach[A]. 34th Chinese Control and Decision Conference[C]. 2022: 176-181. [36] Chu, Lei; Zhang, Shuhua; Wang, Mingxin; Zhu, Shanliang; Han, Yuqun. Observer-Based Adaptive Multi-dimensional Taylor Network Control for Nonlinear Systems with Time-Delay[A]. 9th IEEE Data Driven Control and Learning Systems Conference[C]. 2020: 504-508. |
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