Guoqiang Tan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Utility Function

Kalman Filtering

State Estimation

Top Venues

IEEE Trans. Circuits Syst. II Express Briefs

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jinxing Hu, Guoqiang Tan, Lei Liu
State Estimation for Delayed Neural Networks Based on an Extended Reciprocally Convex Inequality. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Wen-Juan Lin, Qingzhi Wang, Guoqiang Tan
Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach. Neural Networks 171 (2024)
Xuan-Toa Tran, Wen-Hua Chen, Guoqiang Tan
Fast Dual Control of Exploration and Exploitation for Autonomous Search of Hazardous Sources. ICIT (2024)
Wen-Juan Lin, Guoqiang Tan, Qing-Guo Wang, Jinpeng Yu
Fault-Tolerant State Estimation for Markov Jump Neural Networks With Time-Varying Delays. IEEE Trans. Circuits Syst. II Express Briefs 71 (4) (2024)
Shan Cheng, Guoqiang Tan
Intelligent Vehicle Inspection Tool Design Based on Freeman Chain Code for Automatic Annotation of 3D Models. Scalable Comput. Pract. Exp. 24 (4) (2023)
Guoqiang Tan, Zhanshan Wang, Shasha Xiao
Nonfragile extended dissipativity state estimator design for discrete-time neural networks with time-varying delay. Neurocomputing 539 (2023)
Guoqiang Tan, Yuliang Shi, Jihu Wang, Hui Li, Zhiyong Chen, Xinjun Wang
Guided node graph convolutional networks for repository recommendation. Intell. Data Anal. 27 (1) (2023)
Guoqiang Tan, Zhanshan Wang, Zhan Shi
Proportional-Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Zhanshan Wang, Guoqiang Tan
Dissipativity Analysis of Delayed Recurrent Neural Networks via a Flexible Negative-Definiteness Determination Method. IEEE Trans. Circuits Syst. II Express Briefs 70 (2) (2023)
Guoqiang Tan, Zhanshan Wang
Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Guoqiang Tan, Zhanshan Wang
A New Result on Stability Analysis of Recurrent Neural Networks with Time-Varying Delay Based on an Extended Delay-Dependent Integral Inequality. Neural Process. Lett. 53 (6) (2021)
Guoqiang Tan, Zhanshan Wang
Generalized Dissipativity State Estimation of Delayed Static Neural Networks Based on a Proportional-Integral Estimator With Exponential Gain Term. IEEE Trans. Circuits Syst. II Express Briefs 68 (1) (2021)
Guoqiang Tan, Zhanshan Wang
α2-dependent reciprocally convex inequality for stability and dissipativity analysis of neural networks with time-varying delay. Neurocomputing 463 (2021)
Guoqiang Tan, Zhanshan Wang
H∞ performance analysis for delayed Markovian jump neural networks via the Lyapunov-Krasovskii functional with delay-product-type terms. J. Frankl. Inst. 358 (16) (2021)
Guoqiang Tan, Zhanshan Wang
Extended dissipativity state estimation for generalized neural networks with time-varying delay via delay-product-type functionals and integral inequality. Neurocomputing 455 (2021)
Fangwei Zhang, Weiwei Huang, Qiang Li, Shuhong Wang, Guoqiang Tan
Parameterized utility functions on interval-valued intuitionistic fuzzy numbers with two kinds of entropy and their application in multi-criteria decision making. Soft Comput. 24 (6) (2020)
Guoqiang Tan, Jidong Wang, Zhanshan Wang
performance state estimation of neural networks with time-varying delay. Neurocomputing 398 (2020)
Guoqiang Tan, Zhanshan Wang, Cong Li
performance state estimation of delayed static neural networks based on an improved proportional-integral estimator. Appl. Math. Comput. 370 (2020)
Guoqiang Tan, Zhanshan Wang
Performance State Estimation of Delayed Static Neural Networks Based on an Improved Reciprocally Convex Inequality. IEEE Trans. Circuits Syst. II Express Briefs (8) (2020)
Guoqiang Tan, Jidong Wang, Zhanshan Wang, Xiaolong Qian
Performance State Estimation of Delayed Static Neural Networks. ISNN (1) (2019)
Guoqiang Tan, Zhanshan Wang
performance state estimator for static neural networks with time-varying delay. Neurocomputing 364 (2019)