杨世菊，女，1988年生，博士，副教授，硕导（软件工程、新一代电子信息工程：复杂网络、网络攻击、T-S模糊系统、神经网络的控制），重庆工商大学特设岗位青年菁英教授。

2021.11至今，重庆工商大学，人工智能学院，副教授

2018.10-2021.10，重庆工商大学，人工智能学院，讲师

2015.09-2018.06，西南大学，计算智能与信息处理，博士

2017.04-2017.06，Texas A&M University at Qutar, Science,科研助理

2013.09-2015.06，西南大学，信号与信息处理，硕士（硕博连读）

2009.09-2013.06，金陵科技学院，电子信息工程，学士

主要研究领域：复杂网络、网络攻击、T-S模糊系统、神经网络的控制等。主持承担了国家自然科学基金青年基金项目1项，重庆市自然科学基金面上项目2项，重庆市教委重点项目1项，重庆市教委青年项目2项，重庆工商大学校级项目1项，参与完成国家自然科学基金项目和省部级项目10余项。在Neural Networks、NonlinearDynamics、Fuzzy Sets and Systems、Applied Mathematics and Computation等SCI收录的国际期刊上发表学术论文30余篇，其中发表SCI学术论文20篇。获得授权专利1项，出版中文专著1部。担任Fuzzy Sets and Systems、Nonlinear Aanlysis-Hybrid Systems、Applied Mathematics and Computation等多个国际期刊和会议的审稿人。发表教改论文4篇，主持教改项目2项。

联系方式（邮件：yangshiju@ctbu.edu.cn，微信/手机：15923000908）。

（一）近五年主持承担项目

[1].国家自然科学基金委员会,青年科学基金项目, 61903052,基于变时刻脉冲控制的时滞复杂网络固定时间同步研究, 2020.01-2022.12，24万元,结题,主持

[2].重庆市科学技术委员会,自然科学基金(面上项目), CSTB2024NSCQ-MSX0008,基于阶跃函数方法研究时滞多层网络的设定时间同步及图像加密, 2024.07-2027.06,10万元,在研,主持

[3].重庆市科学技术委员会,自然科学基金(面上项目), cstc2019jcyj-msxmX0769,带有状态相关脉冲控制器的耦合时滞复杂网络固定时间同步研究, 2019.07-2022.06, 10万元,结题,主持

[4].重庆市教育委员会,重点项目, KJZD-K202400801,基于阶跃函数方法研究部分耦合复杂网络的预定时间同步及图像加密解密, 2024.10-2027.09,12万元,在研,主持

[5].重庆市教育委员会,青年项目, KJQN202200822,脉冲控制有向图TS模糊复杂网络快速固定时间二部同步, 2022.10-2025.09, 4万元,在研,主持

[6].重庆市教育委员会,青年项目, KJQN201900828,基于变时刻脉冲控制的时滞TS模糊系统固定时间稳定 性及其控制器设计, 2019.10-2022.10, 4万元,结题,主持

[7].重庆工商大学，重点平台开放项目，KFJJ2019102，状态相关脉冲控制时滞忆阻神经网络的有限时间稳定性，2019.11-2021.12,3万元,结题,主持

[8].国家自然科学基金青年基金项目，61801399，单元运动状态下微波加热的动力学及控制机理研究，2019.01-2021.12, 25万元，结题，参与

[9].重庆市科技局,自然科学基金(面上项目), cstc2020jcyj-msxm3471,基于D2D通信的移动边缘计算多 维资源管理决策研究, 2020.06-2023.06, 10万元,结题,参与

[10].重庆市教育委员会,青年项目, KJQN202000811,基于随机共振的贝叶斯参数估计方法研究, 2020.10-2023.10, 4万元,结题,参与

[11].重庆市教育委员会,青年项目, KJQN201900824,移动社会网络中基于用户特征建模的D2D通信资源分配研究, 2019.10-2022.10, 4万元,结题,参与

（二）代表性研究论文

[1]Shiju Yang,Tingting Huang,Hongsen He, Yiting Tang.Stability analysis of T-S fuzzy partially coupled complex networks with pinning impulsive controllers by step function method.Fuzzy Sets and Systems, 2025, 507,109318.

[2]Shiju Yang,Dongmei Ruan,Tingting Huang,Hongsen He.Step-function methods for pinning impulsive controlled synchronization over partially coupled complex networks and its application in image encryption and image decryption.IEEE Internet of Things Journal, Submitted, 2025.

[3]ShijuYang,Wanli Zhang,Dongmei Ruan,Ting Yang,YuLi. Fast fixed-time impulsive bipartite synchronization of TS fuzzy complex networks with signed graphs.Nonlinear Analysis: Hybrid Systems, 2023, 48: 101325.

[4]ShijuYang,Chuandong Li,Xiping He,Wanli Zhang. Variable-time impulsive control for bipartite synchronization of coupled complex networks with signed graphs.Applied Mathematics and Computation, 2022, 420: 126899.

[5]ShijuYang,Chuandong Li,Tingwen Huang,Wanli Zhang. Fixed-time consensus of complex dynamical networks with nonlinear coupling and fuzzy state-dependent uncertainties.Fuzzy Sets and Systems,365: 81-97, 2020.

[6]ShijuYang,Chuandong Li,Tingwen Huang. State-dependent impulsive synchronization of complex dynamical networks with nonlinear coupling.IET Control Theory & Applications, 12(9), 1189-1200, 2019.

[7]ShijuYang,Chuandong Li,Tingwen Huang. Synchronization of coupled memristive chaotic circuits via state-dependent impulsive control.Nonlinear Dynamics, 88(1): 115-129, 2018.

[8]ShijuYang,Chuandong Li,Tingwen Huang,Hafiz Ahmad. Gulfam. Stability analysis of TS fuzzy system with state-dependent impulses.Neural Processing Letters, 2017, 47(2): 403-426.

[9]ShijuYang,Chuandong Li,Tingwen Huang. Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control.Neural Networks, 2016, 75: 162-172.

[10]ShijuYang,Chuandong Li,Tingwen Huang. Finite-time stabilization of uncertain neural networks with distributed time-varying delays.Neural Computing & Applications, 2016, 28(1): 1-9.

[11]ShijuYang,Chuandong Li,Tingwen Huang. Impulsive synchronization for TS fuzzy model of memristor-based chaotic systems with parameter mismatches.International Journal of Control, Automation and Systems, 2016, 14(3): 854-864.

[12]Dongmei Ruan,Shiju Yang. Fixed/Predefined-timesynchronization oncomplexnetworks in the light of T-Sfuzzysystem.IFAC Journal of Systems and Control, 2023, 24: 100216.(通信作者)

[13]Dongmei Ruan,Shiju Yang,Zhang, Qin. Fastbipartitesynchronization ofcomplexnetworks withsignedgraphbased on TSfuzzysystem byfixed-timetechnique.Journal of Circuits, Systems and Computers, 2022, 32(7): 2350119.(通信作者)

[14]Hongsen He,Shiju Yang, TingtingHuang,Yiting Tang, andYuti Li. Fixed/predefinedtimeintra-layersynchronization inmulti-layernetworks.In 2024 3rd International Conference onNeuromorphic Computing (ICNC 2024).(通信作者)

[15]TingtingHuang,Shiju Yang, Hongsen He, Yuting Zhou, and Zhiwei Guo. Interlayerstabilityanalysis oftwo-layernetworks withpinningimpulsive bystepfunctionmethod.In 2024 6th International Conference on Electronic Engineering and Informatics (EEI),2024,1561-1567, 2024,IEEE.(通信作者)

[16]Ting Yang, Shujun Liu, Hongqing Liu, Kui Zhang, Zhiwei Guo,Shiju Yang,Yu Li. Stochastic resonance in Bayesian estimation and CRLB for nonlinear system.Physica A: Statistical Mechanics and its Applications, 2023, 609:128338.

[17]WanliZhang,Xinsong Yang,Shiju Yang,Ahmed Alsaedi. Finite-time and fixed-time bipartite synchronization of complex networks with signed graphs.Mathematics and Computers in Simulation, 2021, 188: 319-329.

[18]WanliZhang,Xinsong Yang,Shiju Yang,Chuangxia Huang,Alsaadi Fuad. Fixed-time control of competitive complex networks.Neural Computing and Applications, 2021, 33(13): 7943-7951.

[19]Ting Yang, Yu Li,Shiju Yang, Shujun Liu. Stochasticresonanceeffect inoptimaldecisionsolutionunderneyman–pearsoncriterion.Circuits Systems and Signal Processing, 2021, 40: 3286–3304.

[20]Ting Yang, Shujun Liu, Hongqing Liu,Shiju Yang, Yu Li. Stochastic resonance benefits in signal detection under MAP criterion.Communication in Nonlinear Science Numerical Simulation, 2021, 102:105919.

[21]Yu Li,Honggang Wang,Zhiwei Guo,Ting Yang,Shiju Yang. Concurrent transmission scheduling algorithm based on Stackelberg game to enhance time reuse for D2D communications in mmWave networks.IET Communications, 2020, 14(21): 3882-3892.

[22]WanliZhang,Shiju Yang,Chuandong Li, Hongfei Li. Finite-time synchronization of delayed memristive neural networks via 1-norm-based analytical approach.Neural Computing and Applications, 2020,32(9):4951-4960

[23]WanliZhang,Shiju Yang,Chuandong Li,Hongfei Li. Finite-time andfixed-timesynchronization ofcomplexnetworks withdiscontinuousnodesviaquantizedcontrol.Neural Processing Letters, 2019,50(3):2073-2086.