团队简介：主要从事智能控制算法、优化理论、导航技术及其在机器人、通讯网络、目标识别与跟踪等领域的应用研究。承担中国博士后科学基金、江苏省高等学校自然科学研究面上项目等各类基础研究项目5项，承担企业委托攻关项目12项，到账经费近450万元，在IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Instrumentation and Measurement、Information Fusion、Measurement等期刊上发表高水平学术论文40余篇，授权发明专利15项。
团队骨干：
研究内容：
1.状态间接传输的信息物理网络的分布式脉冲协同控制：构建多变量非线性通讯网络，采用神经网络隐含节点状态。设计状态观测系统，提取邻居未知状态。结合混杂控制与小增益定理，提出分布式脉冲安全协同控制策略，提升系统鲁棒性。在小增益条件下，实现最优协同控制目标。
异步事件触发脉冲牵制控制算法有效性示意图
2.几何与学习融合的巡检机器人鲁棒定位与导航方法：分析强反射环境引起的传感器测量误差特性，研究传感器误差传播机理及补偿机制，构建基于抗差因子图的鲁棒定位模型；顾及动态场景下环境的时变特性，设计动态物体检测与剔除策略，建立多任务地图及评价方法；针对非结构化场景下传感器短时遮蔽引起的导航不确定性问题，设计兼顾地图约束和非结构化信息的路径规划和导航策略。
巡检机器人鲁棒定位与导航方法
3.输出状态受限的随机非线性系统固定时间最优控制：提出固定时间收敛的自适应规划算法，构建随机非线性最优控制框架。针对输出状态约束和状态不可测的随机非线性系统，通过改进障碍李雅普诺夫函数和设计固定时间状态观测器，实现快速优化跟踪和输出反馈控制。
随机非线性系统固定时间最优控制
4.高透射微弱目标可视化柔性表征与高精度识别方法:改进缺陷成像误差模型，研究考虑高透射缺陷物理微观面形的光学波像差影响机制；探索扰动环境下基于知识交互、学习、推理的视觉顶层引导机制，实现多形态高透射缺陷特征的自动选择和智能识别。
缺陷分类知识学习与推理机制
5.基于小概率三重符合的68Ga/18F双示踪PET定量显像方法：研究小概率三重符合双示踪成像，通过优化符合数据和算法实现定量。构建高效探测机制保障统计，提出延迟窗和归一化提升精度，利用神经网络和双核素模型，实现双示踪定量分离。
68Ga/18F双示踪PET定量显像方法
6.基于重复记忆和修正网格的双重机制多模型广水域组合导航方法：研究变结构多模型组合导航新方法，设计重复记忆模型自适应策略，构建修正网格，融合双重自适应算法，智能识别洋流速度模型参数，实现高精度洋流速度估计，提升导航定位精度。
多模型广水域组合导航方法
代表性论文：
1.Zhang Lingzhong, Lu Jianquan, Liu Fengyi, Lou Jungang, Synchronization of time-delaycoupled neural networks with stabilizing delayed impulsive control, IEEE Transactions onNeural Networks and Learning Systems(2023) DOI:10.1109/TNNLS.2023.3320651.
2.Zhang Lingzhong, Lu Jianquan, Liu Fengyi, Lou Jungang, Fixed-time synchronization ofdelayed dynamic networks: Average aperiodic intermittent control interval approach,Information Fusion100(2023)101897.
3.Zhang Lingzhong, Li Yuanyuan, Lu Jianquan, Bipartite event-triggered impulsive output consensus for switching multi-agent systems with dynamic leader, Information Sciences612(2022) 414-426.
4.Zhang Lingzhong, Shi Kaibo, Lu Jianquan, Bipartite synchronization of antagonistic coupledneural networks: average-delay pinning impulsive control, IEEE Transactions on Circuits andSystems II69 (9) (2022) 3814-3818.
5.Zhang Lingzhong, Li Yuanyuan, Lou Jungang, Lu Jianquan, Bipartite asynchronous impulsivetracking consensus for multi-agent systems, Frontiers of Information Technology & ElectronicEngineering 23 (10) (2022) 1522-1532.
6.Wang Qing; Yan Chao; Tan Rongxuan; Feng Youyang; Sun Yang; Liu Yu; 3D-CALI: Automaticcalibration for camera and LiDAR using 3D checkerboard, Measurement, 2022, 203
7.Yan Chao; Wang Qing; Zhang Yong; Ke Fuyang; Gao Wang; Yang Yuan; Analysis of GNSS clockprediction performance with different interrupt intervals and application to real-time kinematicprecise point positioning, Advances in Space Research, 2020, 65: 978-996
8.Shen Fei; Wang Xinjun; Yin Xinghui; Adaptive neural output-feedback tracking control fora class of stochastic nonlinear systems with output constraint and unknown control coefficients,International Journal of Robust and Nonlinear Control, 2022, 32(3): 1862-1878
9.Shen Fei; Wang Xinjun; Yin Xinghui; BLF-based adaptive DSC for a class of stochasticnonlinear systems of full state constraints with time delay and hysteresis input, Neurocomputing,2020, 386(4): 244-256
10.Wei Ding; Qing-Guo Wang; Yan-Fang Zhao; Intelligent detection method for tappingomitting of internal thread based on computer vision, International Journal of Modelling,Identification and Control, 2019, 32(3/4): 238-243
11.Shi Yu; Wang Yirong; Meng Fanzhen; Zhou Jianwei; Wen Bo; Zhang Xuexue; Liu Yanyun;Li Lei; Li Juntao; Cao Xu; Kang Fei; Zhu Shouping; 3D directional gradient L0 norm minimizationguided limited-view reconstruction in a dual-panel positron emission mammography, Computers inBiology and Medicine, 2023, 161(2023): 107010
12.Shi Yu; Meng Fanzhen; Zhou Jianwei; Li Lei; Li Juntao; Zhu Shouping ; GPU-based real-timesoftware coincidence processing for digital PET system, IEEE Transactions on Radiation and PlasmaMedical Sciences, 2022, 6(6): 707-720
13.Ben Yueyang; Zang Xinle; Li Qian; Liu Xingyu; Chen Hainan ; System reset for underwaterstrapdown inertial navigation system, Ocean Engineering, 2019,182: 552-562
14.Ben Yueyang; Zang Xinle; Li Qian; Chang Dawei; INS/WT-DVL Integrated NavigationAlgorithm Based on Improved Expected-Mode Augmentation for Underwater Vehicles, IEEE Transactionson Instrumentation and Measurement, 2022, 72: 1-11
15.Ben Yueyang; Zang Xinle; Li Qian; He Junhao; A Dual-State Filter for a Relative VelocityAiding Strapdown Inertial Navigation System, IEEE Transactions on Instrumentation andMeasurement, 2020, 70: 1-15
