Articles with public access mandates - Leszek RutkowskiLearn more
Not available anywhere: 43
Sliding-mode control for slow-sampling singularly perturbed systems subject to Markov jump parameters
J Wang, C Yang, H Shen, J Cao, L Rutkowski
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (12), 7579-7586, 2020
Mandates: National Natural Science Foundation of China
Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching
X Yang, Y Liu, J Cao, L Rutkowski
IEEE transactions on neural networks and learning systems 31 (12), 5483-5496, 2020
Mandates: National Natural Science Foundation of China
Constrained quaternion-variable convex optimization: A quaternion-valued recurrent neural network approach
Y Liu, Y Zheng, J Lu, J Cao, L Rutkowski
IEEE transactions on neural networks and learning systems 31 (3), 1022-1035, 2019
Mandates: National Natural Science Foundation of China
Synchronization of switched discrete-time neural networks via quantized output control with actuator fault
X Yang, X Wan, C Zunshui, J Cao, Y Liu, L Rutkowski
IEEE Transactions on Neural Networks and Learning Systems 32 (9), 4191-4201, 2020
Mandates: National Natural Science Foundation of China
Anti-synchronization in fixed time for discontinuous reaction–diffusion neural networks with time-varying coefficients and time delay
Z Wang, J Cao, Z Cai, L Rutkowski
IEEE Transactions on Cybernetics 50 (6), 2758-2769, 2019
Mandates: National Natural Science Foundation of China
Distributed dynamic self-triggered control for uncertain complex networks with Markov switching topologies and random time-varying delay
X Tan, J Cao, L Rutkowski
IEEE Transactions on Network Science and Engineering 7 (3), 1111-1120, 2019
Mandates: National Natural Science Foundation of China
Synchronization of neural networks via periodic self-triggered impulsive control and its application in image encryption
X Tan, C Xiang, J Cao, W Xu, G Wen, L Rutkowski
IEEE Transactions on Cybernetics 52 (8), 8246-8257, 2021
Mandates: National Natural Science Foundation of China, National Science Centre, Poland
Penalty method for constrained distributed quaternion-variable optimization
Z Xia, Y Liu, J Lu, J Cao, L Rutkowski
IEEE Transactions on Cybernetics 51 (11), 5631-5636, 2020
Mandates: National Natural Science Foundation of China
Robust event-triggered control invariance of probabilistic Boolean control networks
L Lin, J Cao, L Rutkowski
IEEE Transactions on Neural Networks and Learning Systems 31 (3), 1060-1065, 2019
Mandates: National Natural Science Foundation of China
Finite-time synchronization of complex-valued memristive-based neural networks via hybrid control
T Yu, J Cao, L Rutkowski, YP Luo
IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3938-3947, 2021
Mandates: National Natural Science Foundation of China, National Science Centre, Poland
A fixed-time distributed optimization algorithm based on event-triggered strategy
Y Song, J Cao, L Rutkowski
IEEE Transactions on Network Science and Engineering 9 (3), 1154-1162, 2021
Mandates: National Natural Science Foundation of China
Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution
X Tan, J Cao, L Rutkowski, G Lu
IEEE transactions on cybernetics 51 (2), 624-634, 2019
Mandates: National Natural Science Foundation of China
Sampled-data set stabilization of impulsive Boolean networks based on a hybrid index model
L Lin, J Cao, S Zhu, L Rutkowski, G Lu
IEEE Transactions on Control of Network Systems 7 (4), 1859-1869, 2020
Mandates: National Natural Science Foundation of China
Asymptotic output tracking of probabilistic Boolean control networks
B Chen, J Cao, Y Luo, L Rutkowski
IEEE Transactions on Circuits and Systems I: Regular Papers 67 (8), 2780-2790, 2020
Mandates: National Natural Science Foundation of China
A novel method for speed training acceleration of recurrent neural networks
J Bilski, L Rutkowski, J Smoląg, D Tao
Information Sciences 553, 266-279, 2021
Mandates: National Science Centre, Poland
Fuzzy H∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method
J Wang, J Wu, H Shen, J Cao, L Rutkowski
IEEE Transactions on Cybernetics 53 (11), 7380-7391, 2022
Mandates: National Natural Science Foundation of China
Lyapunov functions for the set stability and the synchronization of Boolean control networks
B Chen, J Cao, G Lu, L Rutkowski
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (11), 2537-2541, 2019
Mandates: National Natural Science Foundation of China
Event-triggered synchronization of multiple discrete-time Markovian jump memristor-based neural networks with mixed mode-dependent delays
H Li, JA Fang, X Li, L Rutkowski, T Huang
IEEE Transactions on Circuits and Systems I: Regular Papers 69 (5), 2095-2107, 2022
Mandates: National Science Centre, Poland
Robust Composite H∞ Synchronization of Markov Jump Reaction–Diffusion Neural Networks via a Disturbance Observer-Based Method
H Shen, X Wang, J Wang, J Cao, L Rutkowski
IEEE Transactions on Cybernetics 52 (12), 12712-12721, 2021
Mandates: National Natural Science Foundation of China, National Science Centre, Poland
Asynchronous fault detection for memristive neural networks with dwell-time-based communication protocol
A Lin, J Cheng, L Rutkowski, S Wen, M Luo, J Cao
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9004-9015, 2022
Mandates: National Natural Science Foundation of China
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