Shuai Li

According to our database1, Shuai Li authored at least 112 papers between 2012 and 2019.

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Bibliography

2019
A Dynamic Neural Network Approach for Efficient Control of Manipulators.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2019

Reconfigurable Battery Systems: A Survey on Hardware Architecture and Research Challenges.
ACM Trans. Design Autom. Electr. Syst., 2019

Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed.
IEEE Trans. Industrial Informatics, 2019

A Model-Based Recurrent Neural Network With Randomness for Efficient Control With Applications.
IEEE Trans. Industrial Informatics, 2019

A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach.
IEEE Trans. Industrial Informatics, 2019

Plume Front Tracking in Unknown Environments by Estimation and Control.
IEEE Trans. Industrial Informatics, 2019

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

Compatible Convex-Nonconvex Constrained QP-Based Dual Neural Networks for Motion Planning of Redundant Robot Manipulators.
IEEE Trans. Contr. Sys. Techn., 2019

General Distributed Hash Learning on Image Descriptors for $k$-Nearest Neighbor Search.
IEEE Signal Process. Lett., 2019

Discrete-time noise-tolerant Zhang neural network for dynamic matrix pseudoinversion.
Soft Comput., 2019

Intelligent Beetle Antennae Search for UAV Sensing and Avoidance of Obstacles.
Sensors, 2019

Rejecting Chaotic Disturbances Using a Super-Exponential-Zeroing Neurodynamic Approach for Synchronization of Chaotic Sensor Systems.
Sensors, 2019

Nonlinear gradient neural network for solving system of linear equations.
Inf. Process. Lett., 2019

Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties.
Neurocomputing, 2019

Dynamic neural networks based adaptive admittance control for redundant manipulators with model uncertainties.
Neurocomputing, 2019

Integration enhanced and noise tolerant ZNN for computing various expressions involving outer inverses.
Neurocomputing, 2019

Bounded Z-type neurodynamics with limited-time convergence and noise tolerance for calculating time-dependent Lyapunov equation.
Neurocomputing, 2019

Collision-Free Compliance Control for Redundant Manipulators: An Optimization Case.
Front. Neurorobot., 2019

Deep Recurrent Neural Networks Based Obstacle Avoidance Control for Redundant Manipulators.
Front. Neurorobot., 2019

Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach.
Automatica, 2019

A survey on projection neural networks and their applications.
Appl. Soft Comput., 2019

Near-optimal control of nonlinear dynamical systems: A brief survey.
Annual Reviews in Control, 2019

A Novel Neural Network Classifier Using Beetle Antennae Search Algorithm for Pattern Classification.
IEEE Access, 2019

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

Distributed Task Allocation of Multiple Robots: A Control Perspective.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

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

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

Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics.
IEEE Trans. Neural Netw. Learning Syst., 2018

Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises.
IEEE Trans. Neural Netw. Learning Syst., 2018

A Novel Recurrent Neural Network for Manipulator Control With Improved Noise Tolerance.
IEEE Trans. Neural Netw. Learning Syst., 2018

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

Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator.
IEEE Trans. Industrial Informatics, 2018

An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Industrial Informatics, 2018

New Discretization-Formula-Based Zeroing Dynamics for Real-Time Tracking Control of Serial and Parallel Manipulators.
IEEE Trans. Industrial Informatics, 2018

Neural Dynamics for Cooperative Control of Redundant Robot Manipulators.
IEEE Trans. Industrial Informatics, 2018

RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective.
IEEE Trans. Industrial Informatics, 2018

Tracking Control of Robot Manipulators with Unknown Models: A Jacobian-Matrix-Adaption Method.
IEEE Trans. Industrial Informatics, 2018

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

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

Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data.
IEEE Trans. Cybernetics, 2018

Tricriteria Optimization-Coordination Motion of Dual-Redundant-Robot Manipulators for Complex Path Planning.
IEEE Trans. Contr. Sys. Techn., 2018

Adaptive Near-Optimal Control of Uncertain Systems With Application to Underactuated Surface Vessels.
IEEE Trans. Contr. Sys. Techn., 2018

A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality.
IEEE Trans. Automat. Contr., 2018

Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.
Neural Networks, 2018

Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation.
Neural Networks, 2018

STMVO: biologically inspired monocular visual odometry.
Neural Computing and Applications, 2018

A new recurrent neural network with noise-tolerance and finite-time convergence for dynamic quadratic minimization.
Neurocomputing, 2018

Hybrid GNN-ZNN models for solving linear matrix equations.
Neurocomputing, 2018

A nonlinear and noise-tolerant ZNN model solving for time-varying linear matrix equation.
Neurocomputing, 2018

Robot manipulator control using neural networks: A survey.
Neurocomputing, 2018

Dynamic neural networks aided distributed cooperative control of manipulators capable of different performance indices.
Neurocomputing, 2018

Zeroing neural-dynamics approach and its robust and rapid solution for parallel robot manipulators against superposition of multiple disturbances.
Neurocomputing, 2018

Editorial: Neural & Bio-inspired Processing and Robot Control.
Front. Neurorobot., 2018

Intelligent Controllers for Multirobot Competitive and Dynamic Tracking.
Complexity, 2018

Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence.
Appl. Soft Comput., 2018

Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Characteristic Model Based Position Control for Series Elastic Actuators.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

A Novel Recurrent Neural Network for Improving Redundant Manipulator Motion Planning Completeness.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Predictive Suboptimal Consensus of Multiagent Systems With Nonlinear Dynamics.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Kinematic Control of Redundant Manipulators Using Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2017

Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective.
IEEE Trans. Neural Netw. Learning Syst., 2017

A Robust Algorithm for State-of-Charge Estimation With Gain Optimization.
IEEE Trans. Industrial Informatics, 2017

Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.
IEEE Trans. Industrial Informatics, 2017

Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks.
IEEE Trans. Industrial Electronics, 2017

A Multi-Quadcopter Cooperative Cyber-Physical System for Timely Air Pollution Localization.
ACM Trans. Embedded Comput. Syst., 2017

Highly Efficient Framework for Predicting Interactions Between Proteins.
IEEE Trans. Cybernetics, 2017

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

Distributed Winner-Take-All in Dynamic Networks.
IEEE Trans. Automat. Contr., 2017

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

Simultaneous learning and control of parallel Stewart platforms with unknown parameters.
Neurocomputing, 2017

Zeroing neural networks: A survey.
Neurocomputing, 2017

Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints.
Neurocomputing, 2017

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

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

Efficient and balanced charging of reconfigurable battery with variable power supply.
Proceedings of the 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2017

Improving control precision and motion adaptiveness for surgical robot with recurrent neural network.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Non-negativity constrained missing data estimation for high-dimensional and sparse matrices.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.
IEEE Trans. Neural Netw. Learning Syst., 2016

Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises.
IEEE Trans. Neural Netw. Learning Syst., 2016

A Real-Time Flash Translation Layer for NAND Flash Memory Storage Systems.
IEEE Trans. Multi-Scale Computing Systems, 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. Industrial Electronics, 2016

Inverse-Free Extreme Learning Machine With Optimal Information Updating.
IEEE Trans. Cybernetics, 2016

CPS Oriented Control Design for Networked Surveillance Robots With Multiple Physical Constraints.
IEEE Trans. on CAD of Integrated Circuits and Systems, 2016

An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.
IEEE Trans. Automation Science and Engineering, 2016

Distributed Multirobot Formation and Tracking Control in Cluttered Environments.
TAAS, 2016

Formation Control and Tracking for Co-operative Robots with Non-holonomic Constraints - Categories (2), (3).
Journal of Intelligent and Robotic Systems, 2016

Enhanced discrete-time Zhang neural network for time-variant matrix inversion in the presence of bias noises.
Neurocomputing, 2016

Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing, 2016

A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.
IEEE Access, 2016

Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Distributed reconfigurable Battery System Management Architectures.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015
An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems.
IEEE Trans. Industrial Informatics, 2015

Improving network topology-based protein interactome mapping via collaborative filtering.
Knowl.-Based Syst., 2015

Ard-mu-Copter: A Simple Open Source Quadcopter Platform.
Proceedings of the 11th International Conference on Mobile Ad-hoc and Sensor Networks, 2015

Detection of Protein-Protein Interactions from Amino Acid Sequences Using a Rotation Forest Model with a Novel PR-LPQ Descriptor.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

A quadcopter swarm for active monitoring of smog propagation.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

2014
Fast and Robust Data Association Using Posterior Based Approximate Joint Compatibility Test.
IEEE Trans. Industrial Informatics, 2014

Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation.
IEEE Trans. Cybernetics, 2014

A MapReduce based parallel SVM for large-scale predicting protein-protein interactions.
Neurocomputing, 2014

Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2013

Using Laplacian Eigenmap as Heuristic Information to Solve Nonlinear Constraints Defined on a Graph and Its Application in Distributed Range-Free Localization of Wireless Sensor Networks.
Neural Processing Letters, 2013

A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all application.
Neural Networks, 2013

Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks.
Neural Computing and Applications, 2013

A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments.
Neurocomputing, 2013

Perception, Reaction, and Cognition in Wireless Sensor Networks.
IJDSN, 2013

2012
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks.
Neurocomputing, 2012


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