Guoqiang Tan
Orcid: 0000-0003-2408-6374
According to our database1,
Guoqiang Tan
authored at least 19 papers
between 2019 and 2024.
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Bibliography
2024
Fault-Tolerant State Estimation for Markov Jump Neural Networks With Time-Varying Delays.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
A New Result on H<sub>∞</sub> State Estimation for Delayed Neural Networks Based on an Extended Reciprocally Convex Inequality.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
2023
Intelligent Vehicle Inspection Tool Design Based on Freeman Chain Code for Automatic Annotation of 3D Models.
Scalable Comput. Pract. Exp., November, 2023
Nonfragile extended dissipativity state estimator design for discrete-time neural networks with time-varying delay.
Neurocomputing, June, 2023
Proportional-Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Dissipativity Analysis of Delayed Recurrent Neural Networks via a Flexible Negative-Definiteness Determination Method.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2023
Intell. Data Anal., 2023
2022
Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality.
IEEE Trans. Neural Networks Learn. Syst., 2022
2021
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, 2021
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., 2021
H∞ performance analysis for delayed Markovian jump neural networks via the Lyapunov-Krasovskii functional with delay-product-type terms.
J. Frankl. Inst., 2021
α2-dependent reciprocally convex inequality for stability and dissipativity analysis of neural networks with time-varying delay.
Neurocomputing, 2021
Extended dissipativity state estimation for generalized neural networks with time-varying delay via delay-product-type functionals and integral inequality.
Neurocomputing, 2021
2020
Further Result on H<sub>∞</sub> Performance State Estimation of Delayed Static Neural Networks Based on an Improved Reciprocally Convex Inequality.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Parameterized utility functions on interval-valued intuitionistic fuzzy numbers with two kinds of entropy and their application in multi-criteria decision making.
Soft Comput., 2020
A new result on <i>L</i><sub>2</sub>-<i>L</i><sub>∞</sub> performance state estimation of neural networks with time-varying delay.
Neurocomputing, 2020
<i>H</i><sub>∞</sub> performance state estimation of delayed static neural networks based on an improved proportional-integral estimator.
Appl. Math. Comput., 2020
2019
Design of <i>H</i><sub>∞</sub> performance state estimator for static neural networks with time-varying delay.
Neurocomputing, 2019
An Improved Result on H<sub>∞</sub> Performance State Estimation of Delayed Static Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019