复杂控制理论团队近年来主要从事奇异系统、网络控制、鲁棒控制、神经网络、动力系统和随机系统等理论的研究。该团队主要研究方向包含：网络控制与系统稳定性理论；随机与动力系统。网络控制与系统稳定性理论方向主要研究网络控制、鲁棒控制、神经网络、有限时间控制、系统稳定性理论及相关应用。随机与动力系统主要研究随机动力系统、脉冲切换系统和感染疾病模型；仿蠕虫移动机器人的建模、分析、优化和驱动控制；随机微分方程和随机偏微分方程解的适定性、解的存在性等问题、以及随机控制问题；非高斯随机动力系统的定量刻画以及在生物中的应用；仿蠕虫系统的驱动控制与优化等。复杂控制理论团队成员在IEEE Transactions on Fuzzy Systems、Automatica、IEEE Transactions on Neural Networks and Learning Systems等控制、信息、数学类著名期刊上发表与本项目相关的SCI论文60余篇（含高被引论文4篇），主持与参与国家级、省厅级项目20余项。

团队负责人张应奇简介：张应奇，博士，教授，硕士生导师，控制论与应用数学方向，近年来主要从事奇异系统、事有限时间控制、网络控制、鲁棒控制、神经网络、模糊系统和随机系统等理论的研究。团队负责人在IEEE Transactions on Fuzzy Systems、Automatica、IEEE Transactions on Neural Networks and Learning Systems、International Journal of Robust and Nonlinear Control、International Journal of Control、Applied Mathematical Modelling等控制与信息类著名期刊上发表SCI论文30余篇，发表的论文在Web数据库被索引1200余次。近年来团队负责人的部分研究工作、项目及奖励如下：

[1] Event-triggered output quantized control of discrete Markovian singular systems, Automatica, 2022, 135: 109992.

[2] Event-triggered finite-time quantized stabilization of discrete singular jump systems, International Journal of Robust and Nonlinear Control 2022，32(13): 7488-7501.

[3] Event-based finite-time H∞ filtering of discrete-time singular jump network systems, International Journal of Robust and Nonlinear Control, 2022,32(6):4038-4054.

[4] Event-based dissipative analysis for discrete time-delay singular jump neural networks, IEEE Transactions on Neural Networks and Learning Systems, 2020,31(4): 1232-1241.

[5] Robust and non-fragile finite-time H∞ control for uncertain Markovian jump nonlinear systems，河南省教育厅, 河南省教育厅优秀科技论文奖，厅级一等奖, 2021.

[6]  Observer-based finite-time H∞ control for discrete singular stochastic systems，河南省教育厅, 河南省教育厅科技成果奖，厅级一等奖, 2020.

[7] Event-based mixed H∞ and passive filtering for discrete singular stochastic systems, International Journal of Control, 2020, 93(10): 2407-2415.

[8] Comment on “Delay-dependent robust H∞ filtering for uncertain discrete-time singular systems with interval time-varying delay”, Automatica, 2020, 115: 108910.

[9] Dissipativity analysis for discrete time-delay fuzzy neural networks with Markovian jumps, 河南省人力资源和社会保障厅及河南省科学技术协会, 自然科学, 省部一等奖, 2018.

[10] Event-based dissipative analysis for discrete time-delay singular stochastic systems, International Journal of Robust and Nonlinear Control, 2018, 28 (18): 6106-6121.

王喜英简介：王喜英，博士，副教授，主要从事随机动力系统、脉冲控制系统理论及其应用方面的研究工作，曾在国家留学基金委的资助下在加拿大滑铁卢大学访学两年，在国内外重要学术期刊上公开发表论文14篇，主持国家自然科学基金一项，主持省属高校自然科学基金一项。其主要代表性工作如下：

[1]Switching vaccination schemes for epidemic models with distributed time delay and two types of noise, Advances in Difference Equations, 2021, 150 (2021).

[2] Threshold dynamics of the switched multi-city epidemic models with pulse control. Mathematical Problems in Engineering, 2019,2019: 4643912(1-9).

[3] The Stochastic Stability of Internal HIV Models with Gaussian White Noise and Gaussian Colored Noise, Discrete Dynamics in Nature and Society, 2019,2019: 6951389 (1-8).

[4] Global stability and persistence of HIV models with switching parameters and pulse control, Mathematics and Computers in Simulation, 2016,123: 53-67.

[5] The dynamics of HIV models with switching parameters and pulse control, Journal of Biological Systems ,2016,23(4):1-23.

[6] Stochastic responses of a viscoelastic-impact system under additive and multiplicative random excitations, Communications in Nonlinear Science and Numeric Simulation, 2016, 35: 166-175.

姜子望简介： 姜子望，博士，硕士生导师，主要从事仿生移动机器人优化和控制、非线性动力学分析方面的研究工作，在国外重要学术期刊上公开发表SCI论文4篇，参与国家自然科学面上基金两项和主持河南省高等学校重点科研基金一项。主要代表性工作如下：

[1] Analysis of worm-like locomotion driven by the sine-squared strain wave in a linear viscous medium, 2017, 85: 33-44.

[2] The optimal locomotion of a self-propelled worm actuated by two square waves, Micromachines, 2017, 8(12):364.

[3] Worm-like motion enabled by changing the position of mass center in the anisotropic environment. Archive of Applied Mechanics, 2020, 90(5):1059-1071.

凃淑恒简介：凃淑恒，博士，主要从事随机分析、随机偏微分方程、随机控制理论及其应用等方面的研究工作，在国内外重要学术期刊上公开发表论文8篇（SCI索引2篇），主持国家自然科学基金一项，主持省属高校自然科学基金1项。主要代表性工作：

[1] The adapted solutions and comparison theorem for anticipated backward stochastic differential equations with Poisson jumps under the weak conditions, Statistics and Probability Letters, 2017, 126: 7-17.

[2]  Anticipated backward stochastic differential equations with jumps under the non-Lipschitz condition, Statitics and Probability Letters, 2014, 92(1): 215-225.

刘彦彩简介：刘彦彩，博士，主要从事随机动力系统动力学行为、非线性动力学方面的研究工作，在国外重要学术期刊上公开发表SCI论文4篇，参与国家自然科学青年基金项目两项。主要代表性工作如下：

[1] Enhancing dynamical robustness in aging networks of coupled nonlinear oscillators, Europhysics Letters，2016, 114: 40004.

[2] Lévy noise induced escape in the Morris-Lecarmodel. Physica A: Statistical Mechanics and its Applications, 2019, 531: 121785.

[3] State transitions in the Morris-Lecard model under stable Lévy noise, European Physical Journal B, 2020, 38: 93.

[4] Effects of Lévy noise on the Fitz Hugh-Nagumo model: a perspective on the maximal likely trajectories, Journal of Theoretical Biology, 2019,480: 166-174.

刘彩侠简介：刘彩侠，硕士，副教授，主要从事随机分析、随机控制理论数值分析、程序设计及仿真等方面的研究工作，在国内外重要学术期刊上发表论文SCI高质量论文20余篇。

[1] Observer-based finite-time H∞ control of discrete-time Markovian jump systems, Applied Mathematical Modelling, 2013, 37(6): 3748-3760.

[2] Finite-time H∞ filtering for discrete-time Markovian jump systems, Journal of the Franklin Institute, 2013, 350(6): 1579-1595.

[3] Comment on “Delay-dependent robust H∞ filtering for uncertain discrete-time singular systems with interval time-varying delay``, Automatica, 2020, 115: 108910.

[4] Robust finite-time H∞ control of singular stochastic systems via static output feedback, 河南省教育厅科技成果奖，厅级一等奖，2019.