Yinyan Zhang

Orcid: 0000-0002-0463-0291

According to our database1, Yinyan Zhang authored at least 62 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
GNN Model With Robust Finite-Time Convergence for Time-Varying Systems of Linear Equations.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024

Norm-Based Finite-Time Convergent Recurrent Neural Network for Dynamic Linear Inequality.
IEEE Trans. Ind. Informatics, March, 2024

Recurrent Neural Network With Scheduled Varying Gain for Solving Time-Varying QP.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Dynamic Moore-Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Improved differential evolution with dynamic mutation parameters.
Soft Comput., December, 2023

Single-state distributed <i>k</i>-winners-take-all neural network model.
Inf. Sci., November, 2023

Initialization-Based k-Winners-Take-All Neural Network Model Using Modified Gradient Descent.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Finite-Time Convergent Modified Davidenko Method for Dynamic Nonlinear Equations.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Kinematic Control of Serial Manipulators Under False Data Injection Attack.
IEEE CAA J. Autom. Sinica, April, 2023

Adaptive quadratic optimisation with application to kinematic control of redundant robot manipulators.
Int. J. Syst. Sci., March, 2023

Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking.
IEEE Trans. Inf. Forensics Secur., 2023

Distributed k-Winners-Take-All Network: An Optimization Perspective.
IEEE Trans. Cybern., 2023

Performance Evaluation of Distributed k-WTA on Dynamic Undirected Connected Graphs and Its Application to Task Allocation.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Undetectable Attack to Deep Neural Networks Without Using Model Parameters.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Learning and Near-Optimal Control of Underactuated Surface Vessels With Periodic Disturbances.
IEEE Trans. Cybern., 2022

Distributed Estimation of Algebraic Connectivity.
IEEE Trans. Cybern., 2022

Tri-Projection Neural Network for Redundant Manipulators.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Improved GNN method with finite-time convergence for time-varying Lyapunov equation.
Inf. Sci., 2022

2021
Consensus of High-Order Discrete-Time Multiagent Systems With Switching Topology.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Input Delay Estimation for Input-Affine Dynamical Systems Based on Taylor Expansion.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Convergence analysis of beetle antennae search algorithm and its applications.
Soft Comput., 2021

Distributed Near-Optimal Consensus of Double-Integrator Multi-Agent Systems With Input Constraints.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A Passivity-Based Approach for Kinematic Control of Manipulators With Constraints.
IEEE Trans. Ind. Informatics, 2020

Analysis and design of a distributed k-winners-take-all model.
Autom., 2020

Deep Reinforcement Learning with Guaranteed Performance - A Lyapunov-Based Approach
265, Springer, ISBN: 978-3-030-33383-6, 2020

Machine Behavior Design And Analysis - A Consensus Perspective
Springer, ISBN: 978-981-15-3230-6, 2020

2019
Recurrent-Neural-Network-Based Velocity-Level Redundancy Resolution for Manipulators Subject to a Joint Acceleration Limit.
IEEE Trans. Ind. Electron., 2019

Recurrent Neural Network for Kinematic Control of Redundant Manipulators With Periodic Input Disturbance and Physical Constraints.
IEEE Trans. Cybern., 2019

Near-optimal control of nonlinear dynamical systems: A brief survey.
Annu. Rev. Control., 2019

2018
Time-Scale Expansion-Based Approximated Optimal Control for Underactuated Systems Using Projection Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Neural Network-Based Model-Free Adaptive Near-Optimal Tracking Control for a Class of Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Neural Controller for Image-Based Visual Servoing of Manipulators With Physical Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2018

Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution.
IEEE Trans. Ind. Informatics, 2018

Adaptive Projection Neural Network for Kinematic Control of Redundant Manipulators With Unknown Physical Parameters.
IEEE Trans. Ind. Electron., 2018

Near-Optimal Control Without Solving HJB Equations and Its Applications.
IEEE Trans. Ind. Electron., 2018

Adaptive Near-Optimal Control of Uncertain Systems With Application to Underactuated Surface Vessels.
IEEE Trans. Control. Syst. Technol., 2018

Model-Free Optimization Using Eagle Perching Optimizer.
CoRR, 2018

Second-order min-consensus on switching topology.
Autom., 2018

2017
From Davidenko Method to Zhang Dynamics for Nonlinear Equation Systems Solving.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Predictive Suboptimal Consensus of Multiagent Systems With Nonlinear Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Distributed Biased Min-Consensus With Applications to Shortest Path Planning.
IEEE Trans. Autom. Control., 2017

Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach.
IEEE Trans. Autom. Control., 2017

Signum-function array activated ZNN with easier circuit implementation and finite-time convergence for linear systems solving.
Inf. Process. Lett., 2017

Division by zero, pseudo-division by zero, Zhang dynamics method and Zhang-gradient method about control singularity conquering.
Int. J. Syst. Sci., 2017

Porcellio scaber algorithm (PSA) for solving constrained optimization problems.
CoRR, 2017

PSA: A novel optimization algorithm based on survival rules of porcellio scaber.
CoRR, 2017

Perturbing consensus for complexity: A finite-time discrete biased min-consensus under time-delay and asynchronism.
Autom., 2017

Adaptive near-optimal consensus of high-order nonlinear multi-agent systems with heterogeneity.
Autom., 2017

A dynamic neural controller for adaptive optimal control of permanent magnet DC motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A recurrent neural network approach for visual servoing of manipulators.
Proceedings of the IEEE International Conference on Information and Automation, 2017

Further Investigations on Noise-Tolerant Zeroing Neural Network for Time-Varying Quadratic Programming with Robotic Applications.
Proceedings of the International Conference on Algorithms, Computing and Systems, Jeju Island, Republic of Korea, August 10, 2017

2016
Modified ZNN for Time-Varying Quadratic Programming With Inherent Tolerance to Noises and Its Application to Kinematic Redundancy Resolution of Robot Manipulators.
IEEE Trans. Ind. Electron., 2016

Tracking control of modified Lorenz nonlinear system using ZG neural dynamics with additive input or mixed inputs.
Neurocomputing, 2016

GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree.
Int. J. Control, 2016

From Simplicity to Complexity Based on Consensus: A Case Study.
CoRR, 2016

Robot 1LpMD system output control using ZD method with four-state space representation.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

Optimal parameter value of Zhang equivalence for MVN redundancy resolution at velocity and acceleration levels.
Proceedings of the 12th International Conference on Natural Computation, 2016

2015
ZG control for 2-output tracking of 3-input nonlinear system with GD used additionally twice more.
Proceedings of the IEEE International Conference on Information and Automation, 2015

ZG tracking control of 3-input 3-output nonlinear system with GD used additionally once more.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Tracking and stabilizing Chen chaotic system via one multiplicative coefficient as Zhang-gradient control input.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

2014
ZG Control of Populations of Lotka-Volterra Equations Using Interaction Coefficients as Inputs.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014


  Loading...