程尊水，男，博士，青岛科技大学数理学院教授、硕士生导师，研究方向为复杂网络系统、多智能体系统、离散滑模系统的动力学与控制问题。

主持的科研项目

国家自然科学基金：随机时滞动态网络的分岔控制与优化；

中国博士后基金：相互依存网络级联动力学与控制问题研究；

山东省高等学校计划项目：相互依存网络的级联动力学与分岔控制；

山东省自然科学基金：时滞超网络系统的分岔与牵制控制。

科研获奖

山东省高等学校科学技术奖和科研成果奖共5项（主持2项）。

教学获奖

指导本科和研究生数学建模竞赛，近年获得国家一二等奖和省级奖项共31项（国家一等奖1项、国际二等奖1项、国家二等奖4项，省级奖励25项）。

科研论文

在中国科学-信息科学（英文版）、中国科学-技术科学（英文版）、Nonlinear Dyn、Journal of the Franklin Institute、IEEE T. Neural Networks and Learning System、Neurocomputing、Physica A等国际SCI期刊发表学术论50余篇。

[1] Zunshui Cheng; Xinghuo Yu; Jinde Cao; Bifurcation and chaos in digital filters: identification of periodic solutions, Science China-Information Sciences, 2019,62:069201 (SCI)

[2] Zunshui Cheng; Youming Xin; Jinde Cao; Xinghuo Yu; Guoping Lu; Selecting pinning nodes to control complex networked systems, Science China-Technological Science, 2018, 61: 1537-1545 (SCI)

[3] Zunshui Cheng; Konghe Xie; Tianshun Wang; Stability and Hopf bifurcation of three-triangle neural networks with delays, Neurocomputing, 2018,322:206-215 (SCI)

[4]Zunshui Cheng; Yan Wang; Jinde Cao; Stability and Hopf bifurcation of a neural network model with distributed delays and strong kernel, Nonlinear Dynamics, 2016, 86(1): 323-335 (SCI)  

[5]Zunshui Cheng; Dehao Li; Jinde Cao; Stability and Hopf bifurcation of a three-layer neural network model with delays, Neurocomputing, 2016, 175: 355-370 (SCI)

[6]Zunshui Cheng; Jinde Cao; Cascade of failures in interdependent networks coupled by different type networks, Physica A: Statistical Mechanics and its Applications, 2015, 430: 193-200 (SCI)

[7]Zunshui Cheng; Jinde Cao; Hybrid control of Hopf bifurcation in complex networks with delays, Neurocomputing, 2014, 131: 164-170 (SCI)  

[8]Zunshui Cheng; Jinde Cao; Tasawar Hayat; Cascade of failures in interdependent networks with different average degree, International Journal of Modern Physics C, 2014, 25(4) (SCI)

[9]Zunshui Cheng, Anti-control　of　Hopf　bifurcation　for　Chen's system　through washout　filters, Neurocomputing, 73 (2010)  3139-3146 (SCI)

[10]Zunshui Cheng; Jinde Cao, Bifurcation control in small-world networks, Neurocomputing, 72  (2009) 1712-1718 (SCI)

[11]Zunshui Cheng; Jinde Cao, Synchronization of a growing chaotic network model, Applied Mathematics and Computation, 218 (2011) 2122-2127 (SCI)

[12]Zunshui Cheng; Jinde Cao, Hopf bifurcation control for delayed complex networks, Journal of the Franklin Institute, 344 (2007) 846-857 (SCI)

[13]Zunshui Cheng; Jinde Cao, Bifurcation and stability analysis of a neural network model with distributed delays, Nonlinear Dynamics, 46 (2006)  363-373 (SCI)

[14]Yu Wang;Zunshui Cheng*; Min Xiao; UAVs' Formation Keeping Control Based on Multi-Agent System Consensus, IEEE Access,  2020, 8: 49000-49012 (SCI)

[15]Tianshun Wang; Zunshui Cheng*; Rui Bu; Runsheng Ma; Stability and Hopf bifurcation analysis of a simplifified six-neuron tridiagonal two-layer neural network model with delays, Neurocomputing, 2019, 332: 203-214 (SCI)

[16]Jinde Cao; Luca Guerrini; Zunshui Cheng; Stability and Hopf bifurcation of controlled complex networks model with two delays, Applied Mathematics and Computation, 2019,343:21-29 (SCI高被引)

[17]Xiaoxiao Wan; Xinsong Yang; Rongqiang Tang; Zunshui Cheng; Habib M. Fardoun; Fuad E. Alsaadi; Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller, Neural Networks, 2019,118: 321-331 (SCI)

[18]Yi Zou;  Xinsong Yang;  Rongqiang Tang; Zunshui Cheng;  Finite-time quantized synchronization of coupled discontinuous competitive neural networks with proportional delay and impulsive effects, Journal of the Franklin Institute, DOI: 10.1016/j.jfranklin.2019.05.017 (SCI)

[19]Xinsong Yang; Zunshui Cheng; Xiaodi Li; Tiedong Ma; Exponential synchronization of coupled neutral-type neural networks with mixed delays via quantized output control, Journal of the Franklin Institute, 2019,  356: 8138-8153 (SCI)

[20]Rongqiang Tang; Xinsong Yang; Xiaoxiao Wan; Yi Zou; Zunshui Cheng;  Habib M. Fardoun; Finite-time synchronization of nonidentical BAM discontinuous fuzzy neural networks with delays and impulsive effects via non-chattering quantized control, Commun Nonlinear Sci Numer Simulat, 2019, 78: 104893 (SCI)