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Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays JOURNAL ARTICLE published September 2020 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61873148,61873058,61933007) | Natural Science Foundation of Heilongjiang Province of China (ZD2019F001) | Northeast Petroleum University Innovation Foundation for Postgraduate of China (JYCX_CX06_2018,YJSCX2017-026NEPU) |
Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays JOURNAL ARTICLE published May 2021 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61933007,61873148,61873058) | Natural Science Foundation of Heilongjiang Province of China (ZD2019F001) | Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment of Ministry of Education in Anhui Polytechnic University of China (GDSC202016) |
On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays JOURNAL ARTICLE published January 2019 in Neural Computing and Applications |
Partial-Nodes-Based State Estimation for Complex Networks With Unbounded Distributed Delays JOURNAL ARTICLE published August 2018 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61374010,61329301) |
Passivity of Switched Recurrent Neural Networks With Time-Varying Delays JOURNAL ARTICLE published February 2015 in IEEE Transactions on Neural Networks and Learning Systems Research funded by Fundamental Research Funds for the Central Universities (DUT14QY14,DUT14QY31) | National Science Foundation of China (61374070,61273307,61104114,61473055) |
Partial-Neurons-Based $$H_{infty }$$ State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint JOURNAL ARTICLE published December 2023 in Neural Processing Letters |
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays JOURNAL ARTICLE published November 2014 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (11101133) |
Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling JOURNAL ARTICLE published April 2018 in IEEE Transactions on Neural Networks and Learning Systems Research funded by China National Funds for Distinguished Young Scientists (61425009) | National Natural Science Foundation of China (61573112,61503106,U1509217) | Australian Research Council (DP140102180) | Zhejiang Provincial Natural Science Foundation of China (R1100716) |
<formula formulatype="inline"><tex Notation="TeX">$H_{infty}$</tex></formula> State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays JOURNAL ARTICLE published May 2012 in IEEE Transactions on Neural Networks and Learning Systems |
Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies JOURNAL ARTICLE published 2017 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61329301,61422301,61374127) | Northeast Petroleum University Youth Top-Notch Talent Project (rc201601) | Northeast Petroleum University Innovation Foundation For Postgraduate (YJSCX2016-026NEPU) |
Passivity and Synchronization of Coupled Uncertain Reaction–Diffusion Neural Networks With Multiple Time Delays JOURNAL ARTICLE published August 2019 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61773285,61473011,61721091) | National Natural Science Foundation for Distinguished Young Scholars of China (61625302) | Qatar National Research Fund (NPRP 9-166-1-031) |
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays JOURNAL ARTICLE published September 2015 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61272530,11072059) | National Natural Science Foundation of Jiangsu Province, China (BK2012741) | Specialized Research Fund for the Doctoral Program of Higher Education (20110092110017,20130092110017) | National Board for Higher Mathematics through the Research Project (2/48(7)/2012/NBHM(R.P.)/R,D-II/12669) | Department of Science and Technology-Science and Engineering Research Board (SB/FTP/MS-045/2013) |
State Estimation for Static Neural Networks With Time-Varying Delays Based on an Improved Reciprocally Convex Inequality JOURNAL ARTICLE published April 2018 in IEEE Transactions on Neural Networks and Learning Systems Research funded by Australian Research Council Discovery Project (DP160103567) |
Passivity Analysis for Quaternion-Valued Memristor-Based Neural Networks With Time-Varying Delay JOURNAL ARTICLE published February 2020 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61603125,11872175) | Australian Research Council (DP120104986) | China Scholarship Council (201708410029) | Key Program of Henan Universities (17A120001) | Xinhe Huang Tingfang Young Scholars’ Fund of HUEL (hncjzfdxxhhtf201913) |
Partial-Node-Based State Estimation for Delayed Complex Networks Under Intermittent Measurement Outliers: A Multiple-Order-Holder Approach JOURNAL ARTICLE published October 2023 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61873148,61933007,U21A2019,12171124,61873058) | China Postdoctoral Science Foundation (2018T110702) | Postdoctoral Special Innovation Foundation of Shandong Province of China (201701015) | European Union’s Horizon 2020 Research and Innovation Programme (820776 (INTEGRADDE)) |
A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol JOURNAL ARTICLE published November 2021 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61873148, Grant 61873058, and Grant 61933007) | Natural Science Foundation of Heilongjiang Province of China (F2018004) | China Postdoctoral Science Foundation (2017M621242) | PetroChina Innovation Foundation (2018D-5007-0302) | Open Fund of the Key Laboratory for Metallurgical Equipment and Control of Ministry of Education in Wuhan University of Science and Technology of China (2018A01,MECOF2019B01,MECOF2019B02) | Fundamental Research Funds for Provincial Undergraduate Universities of Heilongjiang Province of China (2019QNL-11) | Guiding Science and Technology Plan Project of Daqing City of China (zd-2019-07) |
Proportional–Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays JOURNAL ARTICLE published February 2023 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61973070) | Synthetical Automation for Process Industries (SAPI) Fundamental Research Funds (2018ZCX22) | Liaoning Revitalization Talents Program (XLYC1802010) |
Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays JOURNAL ARTICLE published April 2014 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (11101133) |
State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol JOURNAL ARTICLE published May 2017 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61329301,61273156,61333012) |
Synchronization and State Estimation of a Class of Hierarchical Hybrid Neural Networks With Time-Varying Delays JOURNAL ARTICLE published February 2016 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (61021002,61322301) | Fundamental Research Funds for the Central Universities (HIT.BRETIII.201211,HIT.BRETIV.201306) | Australian Research Council (DP120104986) |