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Tao Wu 0012
Person information
- affiliation: Southeast University, School of Mathematics, Nanjing, China
- affiliation (former): Yunnan Minzu University, School of Mathematics and Computer Science, Kunming, China
Other persons with the same name
- Tao Wu — disambiguation page
- Tao Wu 0001 — National University of Defense Technology, Institute of Automation, Changsha, China
- Tao Wu 0002
— Yale University, Yale Stem Cell Center, New Haven, CT, USA (and 1 more)
- Tao Wu 0003
- Tao Wu 0004
- Tao Wu 0005
- Tao Wu 0006 — TU Munich, Department of Computer Science, Germany (and 2 more)
- Tao Wu 0007
- Tao Wu 0008
- Tao Wu 0009 — University of Maryland, Center for Automation Research, UMIACS, College Park, MD, USA
- Tao Wu 0010
- Tao Wu 0011
- Tao Wu 0013 — University of Siegen, Germany
- Tao Wu 0014
- Tao Wu 0015 — Michigan State University, Electrical and Computer Engineering Department, East Lansing, MI, USA
- Tao Wu 0016
- Tao Wu 0017
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2020 – today
- 2024
- [j16]Tao Wu
Attack-Resilient Dynamic Event-Triggered Synchronization of Fuzzy Reaction-Diffusion Dynamic Networks With Multiple Cyberattacks. IEEE Trans. Fuzzy Syst. 32(2): 498-509 (2024) - [j15]Tao Wu
Anti-Attack Protocol-Based Synchronization Control for Fuzzy Complex Dynamic Networks. IEEE Trans. Fuzzy Syst. 32(6): 3433-3443 (2024) - [j14]Tao Wu
Reinforcement Learning for Fuzzy Structured Adaptive Optimal Control of Discrete-Time Nonlinear Complex Networks. IEEE Trans. Fuzzy Syst. 32(11): 6035-6043 (2024) - 2023
- [j13]Lianglin Xiong, Li Cai
Stochastic quantized control for memristive neural networks with mixed semi-Markov jump and sampled-data communications using a novel approach. Knowl. Based Syst. 277: 110751 (2023) - [j12]Tao Wu
Adaptive Event-Triggered Space-Time Sampled-Data Synchronization for Fuzzy Coupled RDNNs Under Hybrid Random Cyberattacks. IEEE Trans. Fuzzy Syst. 31(6): 1855-1869 (2023) - [j11]Tao Wu
Adaptive Event-Triggered Mechanism to Synchronization of Reaction-Diffusion CVNNs and Its Application in Image Secure Communication. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5307-5320 (2023) - 2022
- [j10]Tao Wu, Jinde Cao, Lianglin Xiong, Haiyang Zhang, Jinlong Shu:
Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques. Appl. Math. Comput. 413: 126604 (2022) - [j9]Tao Wu
Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems. Fuzzy Sets Syst. 432: 89-110 (2022) - [j8]Yingying Liu
Stochastic stability and extended dissipativity analysis for delayed neural networks with markovian jump via novel integral inequality. J. Frankl. Inst. 359(3): 1215-1238 (2022) - 2021
- [j7]Jinlong Shu, Baowei Wu, Lianglin Xiong, Tao Wu
Stochastic stabilization of Markov jump quaternion-valued neural network using sampled-data control. Appl. Math. Comput. 400: 126041 (2021) - [j6]Tao Wu, Lianglin Xiong
Synchronization of coupled reaction-diffusion stochastic neural networks with time-varying delay via delay-dependent impulsive pinning control algorithm. Commun. Nonlinear Sci. Numer. Simul. 99: 105777 (2021) - [c1]Xiaoman Liu, Haiyang Zhang, Lianglin Xiong, Tao Wu, Zhaoyong Tang:
A New Free-matrix Inequality with application to Exponential State Estimation for Markov Jump Neural Networks. ITQM 2021: 1284-1291 - 2020
- [j5]Xiaoman Liu, Haiyang Zhang
Stochastic Exponential Stabilization for Markov Jump Neural Networks with Time-varying Delays via Adaptive Event-Triggered Impulsive Control. Complex. 2020: 3956549:1-3956549:15 (2020) - [j4]Tao Wu
New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller. Inf. Sci. 521: 231-250 (2020) - [j3]Tao Wu
A novel approach to synchronization conditions for delayed chaotic Lur'e systems with state sampled-data quantized controller. J. Frankl. Inst. 357(14): 9811-9833 (2020)
2010 – 2019
- 2019
- [j2]Tao Wu
New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control. Complex. 2019: 7875305:1-7875305:15 (2019) - 2018
- [j1]Tao Wu
New stability and stabilization conditions for stochastic neural networks of neutral type with Markovian jumping parameters. J. Frankl. Inst. 355(17): 8462-8483 (2018)
Coauthor Index
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