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Shaofu Yang
Shaofu Yang
School of Computer Science and Engineering, Southeast University, China
Verified email at seu.edu.cn - Homepage
Title
Cited by
Cited by
Year
A multi-agent system with a proportional-integral protocol for distributed constrained optimization
S Yang, Q Liu, J Wang
IEEE Transactions on Automatic Control 62 (7), 3461-3467, 2017
2812017
Distributed optimization based on a multiagent system in the presence of communication delays
S Yang, Q Liu, J Wang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (5), 717-728, 2017
2392017
A collective neurodynamic approach to distributed constrained optimization
Q Liu, S Yang, J Wang
IEEE Transactions on Neural Networks and Learning Systems 28 (8), 1747-1758, 2017
2172017
Robust synchronization of multiple memristive neural networks with uncertain parameters via nonlinear coupling
S Yang, Z Guo, J Wang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (7), 1077-1086, 2015
1932015
Constrained consensus algorithms with fixed step size for distributed convex optimization over multi-agent networks
Q Liu, S Yang, Y Hong
IEEE Transactions on Automatic Control 62 (8), 4259-4265, 2017
1422017
Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear coupling
Z Guo, S Yang, J Wang
IEEE Transactions on Neural Networks and Learning Systems 26 (6), 1300-1311, 2015
1392015
A collaborative neurodynamic approach to multiple-objective distributed optimization
S Yang, Q Liu, J Wang
IEEE Transactions on Neural Networks and Learning Systems 29 (4), 981-992, 2018
1232018
Global synchronization of multiple recurrent neural networks with time delays via impulsive interactions
S Yang, Z Guo, J Wang
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1657-1667, 2017
782017
Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller
S Gong, S Yang, Z Guo, T Huang
Neural Networks 102, 138-148, 2018
672018
Cooperative-competitive multiagent systems for distributed minimax optimization subject to bounded constraints
S Yang, J Wang, Q Liu
IEEE Transactions on Automatic Control 64 (4), 1358-1372, 2019
632019
Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control
Z Guo, S Yang, J Wang
Neural Networks 84, 67-79, 2016
582016
Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling
Z Guo, S Gong, S Yang, T Huang
Neural Networks 108, 260-271, 2018
552018
A new protocol for finite-time consensus of detail-balanced multi-agent networks
S Yang, J Cao, J Lu
Chaos 22 (4), 043134, 2012
532012
Cooperative optimization of dual multiagent system for optimal resource allocation
K Li, Q Liu, S Yang, J Cao, G Lu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4676-4687, 2020
512020
Further results on finite-time consensus of second-order multi-agent systems without velocity measurements
X Liu, MZQ Chen, H Du, S Yang
International Journal of Robust and Nonlinear Control 26 (14), 3170-3185, 2016
372016
Global exponential synchronization of memristive competitive neural networks with time-varying delay via nonlinear control
S Gong, S Yang, Z Guo, T Huang
Neural Processing Letters 49 (1), 103-119, 2019
342019
Global synchronization of stochastically disturbed memristive neurodynamics via discontinuous control laws
Z Guo, S Yang, J Wang
IEEE/CAA Journal of Automatica Sinica 3 (2), 121-131, 2016
342016
Consensus of heterogeneous nonlinear multiagent systems with duplex control laws
S Yang, J Wang, Q Liu
IEEE Transactions on Automatic Control 64 (12), 5140-5147, 2019
212019
Fully distributed self-triggered control for second-order consensus of multiagent systems
W Xu, S Yang, J Cao
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3541-3551, 2021
202021
A distributed dynamical system for optimal resource allocation over state-dependent networks
X Wang, S Yang, Z Guo, M Lian, T Huang
IEEE Transactions on Network Science and Engineering, 2022
182022
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