An Improved Result on H∞ Performance State Estimation of Delayed Static Neural Networks. - Guoqiang Tan; Jidong Wang; Zhanshan Wang; Xiaolong Qian (ISNN (1), 2019)

Design of H∞ performance state estimator for static neural networks with time-varying delay. - Guoqiang Tan; Zhanshan Wang (Neurocomputing, 2019)

H∞ performance state estimation of delayed static neural networks based on an improved proportional-integral estimator. - Guoqiang Tan; Zhanshan Wang; Cong Li (Appl. Math. Comput., 2020)

A new result on L2-L∞ performance state estimation of neural networks with time-varying delay. - Guoqiang Tan; Jidong Wang; Zhanshan Wang (Neurocomputing, 2020)

Parameterized utility functions on interval-valued intuitionistic fuzzy numbers with two kinds of entropy and their application in multi-criteria decision making. - Fangwei Zhang; Weiwei Huang; Qiang Li; Shuhong Wang; Guoqiang Tan (Soft Comput., 2020)

Further Result on H∞ Performance State Estimation of Delayed Static Neural Networks Based on an Improved Reciprocally Convex Inequality. - Guoqiang Tan; Zhanshan Wang (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Extended dissipativity state estimation for generalized neural networks with time-varying delay via delay-product-type functionals and integral inequality. - Guoqiang Tan; Zhanshan Wang (Neurocomputing, 2021)

α2-dependent reciprocally convex inequality for stability and dissipativity analysis of neural networks with time-varying delay. - Guoqiang Tan; Zhanshan Wang (Neurocomputing, 2021)

H∞ performance analysis for delayed Markovian jump neural networks via the Lyapunov-Krasovskii functional with delay-product-type terms. - Guoqiang Tan; Zhanshan Wang (J. Frankl. Inst., 2021)

A New Result on Stability Analysis of Recurrent Neural Networks with Time-Varying Delay Based on an Extended Delay-Dependent Integral Inequality. - Guoqiang Tan; Zhanshan Wang (Neural Process. Lett., 2021)

Generalized Dissipativity State Estimation of Delayed Static Neural Networks Based on a Proportional-Integral Estimator With Exponential Gain Term. - Guoqiang Tan; Zhanshan Wang (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality. - Guoqiang Tan; Zhanshan Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Guided node graph convolutional networks for repository recommendation. - Guoqiang Tan; Yuliang Shi; Jihu Wang; Hui Li 048; Zhiyong Chen; Xinjun Wang (Intell. Data Anal., 2023)

Dissipativity Analysis of Delayed Recurrent Neural Networks via a Flexible Negative-Definiteness Determination Method. - Zhanshan Wang; Guoqiang Tan (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Proportional-Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays. - Guoqiang Tan; Zhanshan Wang; Zhan Shi (IEEE Trans. Neural Networks Learn. Syst., 2023)

Nonfragile extended dissipativity state estimator design for discrete-time neural networks with time-varying delay. - Guoqiang Tan; Zhanshan Wang; Shasha Xiao (Neurocomputing, 2023)

Intelligent Vehicle Inspection Tool Design Based on Freeman Chain Code for Automatic Annotation of 3D Models. - Shan Cheng; Guoqiang Tan (Scalable Comput. Pract. Exp., 2023)

Fast Dual Control of Exploration and Exploitation for Autonomous Search of Hazardous Sources. - Xuan-Toa Tran; Wen-Hua Chen 001; Guoqiang Tan (ICIT, 2024)

Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach. - Wen-Juan Lin; Qingzhi Wang; Guoqiang Tan (Neural Networks, 2024)

A New Result on H∞ State Estimation for Delayed Neural Networks Based on an Extended Reciprocally Convex Inequality. - Jinxing Hu; Guoqiang Tan; Lei Liu 006 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Fault-Tolerant State Estimation for Markov Jump Neural Networks With Time-Varying Delays. - Wen-Juan Lin; Guoqiang Tan; Qing-Guo Wang; Jinpeng Yu 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Privacy-preserving ADP for secure tracking control of AVRs against unreliable communication. - Kun Zhang 005; Kezhen Han; Zhijian Hu; Guoqiang Tan (Frontiers Neurorobotics, 2025)

Dual control for autonomous airborne source search with Nesterov accelerated gradient descent: Algorithm and performance analysis. - Guoqiang Tan; Wen-Hua Chen 001; Jun Yang 011; Xuan-Toa Tran; Zhongguo Li (Neurocomputing, 2025)

Reachable Set Control of Cyber-Physical Systems With Markov Jump Parameters and Hybrid Attacks. - Weihao Liu; Xiuyang Fan; Guoqiang Tan; Wen-Juan Lin (IEEE Trans Autom. Sci. Eng., 2025)

Stability Analysis of Recurrent Neural Networks With Time-Varying Delay Based on a Flexible Negative-Determination Quadratic Function Method. - Guoqiang Tan; Zhanshan Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)