| Reachable set estimation of delayed Markovian jump neural networks based on an improved reciprocally convex inequality G Tan, Z Wang IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2737-2742, 2021 | 79 | 2021 |
| Proportional–integral state estimator for quaternion-valued neural networks with time-varying delays G Tan, Z Wang, Z Shi IEEE Transactions on Neural Networks and Learning Systems 34 (2), 1074-1079, 2021 | 51 | 2021 |
| Design of H∞ performance state estimator for static neural networks with time-varying delay G Tan, Z Wang Neurocomputing 364, 203-208, 2019 | 51 | 2019 |
| Generalized dissipativity state estimation of delayed static neural networks based on a proportional-integral estimator with exponential gain term G Tan, Z Wang IEEE Transactions on Circuits and Systems II: Express Briefs 68 (1), 356-360, 2020 | 47 | 2020 |
| H∞ performance state estimation of delayed static neural networks based on an improved proportional-integral estimator G Tan, Z Wang, C Li Applied Mathematics and Computation 370, 124908, 2020 | 34 | 2020 |
| Further Result on H∞ Performance State Estimation of Delayed Static Neural Networks Based on an Improved Reciprocally Convex Inequality G Tan, Z Wang IEEE Transactions on Circuits and Systems II: Express Briefs 67 (8), 1477-1481, 2019 | 31 | 2019 |
| A new result on H∞ state estimation for delayed neural networks based on an extended reciprocally convex inequality J Hu, G Tan, L Liu IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | 30 | 2023 |
| Stability analysis of systems with time‐varying delay via a delay‐product‐type integral inequality G Tan, Z Wang Mathematical Methods in the Applied Sciences 45 (11), 6535-6545, 2022 | 19 | 2022 |
| Stability analysis of recurrent neural networks with time-varying delay based on a flexible negative-determination quadratic function method G Tan, Z Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 16 | 2023 |
| Fault-tolerant state estimation for Markov jump neural networks with time-varying delays WJ Lin, G Tan, QG Wang, J Yu IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | 10 | 2023 |
| Extended dissipativity state estimation for generalized neural networks with time-varying delay via delay-product-type functionals and integral inequality G Tan, Z Wang Neurocomputing 455, 78-87, 2021 | 10 | 2021 |
| α2-dependent reciprocally convex inequality for stability and dissipativity analysis of neural networks with time-varying delay G Tan, Z Wang Neurocomputing 463, 292-297, 2021 | 7 | 2021 |
| A new result on L2–L∞ performance state estimation of neural networks with time-varying delay G Tan, J Wang, Z Wang Neurocomputing 398, 166-171, 2020 | 7 | 2020 |
| Nonfragile extended dissipativity state estimator design for discrete-time neural networks with time-varying delay G Tan, Z Wang, S Xiao Neurocomputing 539, 126206, 2023 | 6 | 2023 |
| Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach WJ Lin, Q Wang, G Tan Neural Networks 171, 53-60, 2024 | 5 | 2024 |
| Robust load frequency control of power systems with two time delays G Tan, Z Shi, P Liu, Z Wang International Transactions on Electrical Energy Systems 31 (9), e13022, 2021 | 4 | 2021 |
| A new result on stability analysis of recurrent neural networks with time-varying delay based on an extended delay-dependent integral inequality G Tan, Z Wang Neural Processing Letters 53, 4365-4375, 2021 | 3 | 2021 |
| H∞ performance analysis for delayed Markovian jump neural networks via the Lyapunov-Krasovskii functional with delay-product-type terms G Tan, Z Wang Journal of the Franklin Institute 358 (16), 8609-8624, 2021 | 3 | 2021 |
| A two-layer optimal scheduling method for microgrids based on adaptive stochastic model predictive control J Hu, P Yan, G Tan Measurement Science and Technology 36 (2), 026208, 2025 | 1 | 2025 |
| An Alternative Dual Control Approach for Auto-Optimization in Uncertain Environments G Tan, WH Chen, J Yang 2024 6th International Conference on Industrial Artificial Intelligence (IAI …, 2024 | | 2024 |