Shuai Li
Orcid: 0000-0001-8316-5289Affiliations:
- Swansea University, Department of Mechanical Engineering, the Zienkiewicz Centre for Computational Engineering, UK
- Lanzhou University, School of Information Science and Engineering, China
- Hong Kong Polytechnic University, Department of Computing, Kowloon, Hong Kong
- Stevens Institute of Technology, Department of Electrical and Computer Engineering, Hoboken, NJ, USA (PhD 2014)
According to our database1,
Shuai Li
authored at least 337 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans Autom. Sci. Eng., October, 2024
Robust Tracking Control of Heterogeneous Robots With Uncertainty: A Super-Exponential Convergence Neurodynamic Approach.
IEEE Trans Autom. Sci. Eng., October, 2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Pseudoinverse-Free Recurrent Neural Dynamics for Time-Dependent System of Linear Equations With Constraints on Variable and Its Derivatives.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data.
IEEE Trans Autom. Sci. Eng., July, 2024
IEEE Trans Autom. Sci. Eng., July, 2024
Low-Computational-Complexity Zeroing Neural Network Model for Solving Systems of Dynamic Nonlinear Equations.
IEEE Trans. Autom. Control., July, 2024
Design and Analysis of Reciprocal Zhang Neuronet Handling Temporally-Variant Linear Matrix-Vector Equations Applied to Mobile Localization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
Zeroing neural network approaches for computing time-varying minimal rank outer inverse.
Appl. Math. Comput., March, 2024
Distance- and Velocity-Based Simultaneous Obstacle Avoidance and Target Tracking for Multiple Wheeled Mobile Robots.
IEEE Trans. Intell. Transp. Syst., February, 2024
Neurodynamics for Equality-Constrained Time-Variant Nonlinear Optimization Using Discretization.
IEEE Trans. Ind. Informatics, February, 2024
Double integral-enhanced Zeroing neural network with linear noise rejection for time-varying matrix inverse.
CAAI Trans. Intell. Technol., February, 2024
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
A new recurrent neural network based on direct discretization method for solving discrete time-variant matrix inversion with application.
Inf. Sci., January, 2024
A Novel Zeroing Neural Model for Solving Dynamic Matrix Moore-Penrose Inverse and Its Application to Visual Servoing Control of Manipulator.
IEEE Trans. Instrum. Meas., 2024
A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration.
IEEE Trans. Instrum. Meas., 2024
Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications.
Neural Networks, 2024
Fixed-time convergence ZNN model for solving rectangular dynamic full-rank matrices inversion.
Expert Syst. Appl., 2024
Time-optimal constrained kinematic control of robotic manipulators by recurrent neural network.
Expert Syst. Appl., 2024
A Comprehensive Review of Recent Advances on Intelligence Algorithms and Information Engineering Applications.
IEEE Access, 2024
A High Order Integration Enhanced Zeroing Neural Network for Time-Varying Convex Quadratic Program Against Nonlinear Noise.
IEEE Access, 2024
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
2023
A novel recurrent neural network based online portfolio analysis for high frequency trading.
Expert Syst. Appl., December, 2023
Numerical-discrete-scheme-incorporated recurrent neural network for tasks in natural language processing.
CAAI Trans. Intell. Technol., December, 2023
A Novel Dynamic Neural System for Nonconvex Portfolio Optimization With Cardinality Restrictions.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Highly Accurate Manipulator Calibration via Extended Kalman Filter-Incorporated Residual Neural Network.
IEEE Trans. Ind. Informatics, November, 2023
Inf. Sci., November, 2023
Expert Syst. Appl., November, 2023
A Novel BSO Algorithm for Three-Layer Neural Network Optimization Applied to UAV Edge Control.
Neural Process. Lett., October, 2023
Recursive recurrent neural network: A novel model for manipulator control with different levels of physical constraints.
CAAI Trans. Intell. Technol., September, 2023
Initialization-Based k-Winners-Take-All Neural Network Model Using Modified Gradient Descent.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators.
Neural Networks, July, 2023
Discrete generalized-Sylvester matrix equation solved by RNN with a novel direct discretization numerical method.
Numer. Algorithms, July, 2023
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Tracking Control of Cable-Driven Planar Robot Based on Discrete-Time Recurrent Neural Network With Immediate Discretization Method.
IEEE Trans. Ind. Informatics, June, 2023
Frontiers Neurorobotics, June, 2023
IEEE CAA J. Autom. Sinica, April, 2023
A Novel Convolutional Neural Network Model Based on Beetle Antennae Search Optimization Algorithm for Computerized Tomography Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
Adaptive quadratic optimisation with application to kinematic control of redundant robot manipulators.
Int. J. Syst. Sci., March, 2023
DCT-Net: A Neurodynamic Approach with Definable Convergence Property for Real-Time Synchronization of Chaotic Systems.
Neural Process. Lett., February, 2023
Ball-Spin Control and Vibration Reduction Methods for Three-Wheel Pitching Device of Tennis Training Robot.
J. Intell. Robotic Syst., February, 2023
Algorithms, February, 2023
Direct derivation scheme of DT-RNN algorithm for discrete time-variant matrix pseudo-inversion with application to robotic manipulator.
Appl. Soft Comput., January, 2023
Robot Control and Calibration - Innovative Control Schemes and Calibration Algorithms
Springer Briefs in Computer Science, Springer, ISBN: 978-981-99-5765-1, 2023
RNN-Based Quadratic Programming Scheme for Tennis-Training Robots With Flexible Capabilities.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg-Marquardt Algorithm.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Ind. Informatics, 2023
IEEE Trans. Cybern., 2023
IEEE Trans. Cybern., 2023
IEEE Trans. Comput. Soc. Syst., 2023
Recurrent-Neural-Network-Based Polynomial Noise Resistance Model for Computing Dynamic Nonlinear Equations Applied to Robotics.
IEEE Trans. Cogn. Dev. Syst., 2023
Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization.
IEEE Trans. Autom. Control., 2023
J. Ambient Intell. Humaniz. Comput., 2023
IEEE CAA J. Autom. Sinica, 2023
Time-varying minimum-cost portfolio insurance problem via an adaptive fuzzy-power LVI-PDNN.
Appl. Math. Comput., 2023
IEEE Access, 2023
Dynamic Neural Network Models for Time-Varying Problem Solving: A Survey on Model Structures.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Efficient Learning Control of Uncertain Fractional-Order Chaotic Systems With Disturbance.
IEEE Trans. Neural Networks Learn. Syst., 2022
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application.
IEEE Trans. Neural Networks Learn. Syst., 2022
Data-Driven Motion-Force Control Scheme for Redundant Manipulators: A Kinematic Perspective.
IEEE Trans. Ind. Informatics, 2022
Motion Planning of Manipulators for Simultaneous Obstacle Avoidance and Target Tracking: An RNN Approach With Guaranteed Performance.
IEEE Trans. Ind. Electron., 2022
A Simultaneous Learning and Control Scheme for Redundant Manipulators With Physical Constraints on Decision Variable and Its Derivative.
IEEE Trans. Ind. Electron., 2022
Learning and Near-Optimal Control of Underactuated Surface Vessels With Periodic Disturbances.
IEEE Trans. Cybern., 2022
Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety.
IEEE Trans. Cybern., 2022
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
An L₁-Norm Based Optimization Method for Sparse Redundancy Resolution of Robotic Manipulators.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies.
IEEE Trans Autom. Sci. Eng., 2022
Robotica, 2022
Using Quadratic Interpolated Beetle Antennae Search to Enhance Robot Arm Calibration Accuracy.
IEEE Robotics Autom. Lett., 2022
Kinematic Control of Manipulator with Remote Center of Motion Constraints Synthesised by a Simplified Recurrent Neural Network.
Neural Process. Lett., 2022
Dual Beetle Antennae Search system for optimal planning and robust control of 5-link biped robots.
J. Comput. Sci., 2022
Multimodal Prediction-Based Robot Abnormal Movement Identification Under Variable Time-length Experiences.
J. Intell. Robotic Syst., 2022
J. Field Robotics, 2022
Model-based recurrent neural network for redundancy resolution of manipulator with remote centre of motion constraints.
Int. J. Syst. Sci., 2022
Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints.
Neurocomputing, 2022
Neurocomputing, 2022
DRDNN: A robust model for time-variant nonlinear optimization under multiple equality and inequality constraints.
Neurocomputing, 2022
Editorial: Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA).
Frontiers Big Data, 2022
Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach.
Expert Syst. Appl., 2022
Non-linear Activated Beetle Antennae Search: A novel technique for non-convex tax-aware portfolio optimization problem.
Expert Syst. Appl., 2022
A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm.
CoRR, 2022
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization.
CoRR, 2022
CoRR, 2022
CoRR, 2022
A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach.
CoRR, 2022
Comput. Oper. Res., 2022
Sci. China Inf. Sci., 2022
A New Variable Step-Size Levenberg-Marquardt Algorithm for Industrial Robot Calibration.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
New Joint-Drift-Free Scheme Aided with Projected ZNN for Motion Generation of Redundant Robot Manipulators Perturbed by Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Novel Supertwisting Zeroing Neural Network With Application to Mobile Robot Manipulators.
IEEE Trans. Neural Networks Learn. Syst., 2021
Dynamic Neural Networks for Motion-Force Control of Redundant Manipulators: An Optimization Perspective.
IEEE Trans. Ind. Electron., 2021
IEEE Trans. Ind. Electron., 2021
IEEE Trans. Fuzzy Syst., 2021
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators.
IEEE Trans. Control. Syst. Technol., 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
A Sparse Optimization-Based Control Method for Manipulator With Simultaneous Potential Energy Minimization.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Saturated PI Control for Nonlinear System With Provable Convergence: An Optimization Perspective.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.
IEEE Trans. Big Data, 2021
Soft Comput., 2021
Pattern Recognit. Lett., 2021
Time-Varying Mean-Variance Portfolio Selection under Transaction Costs and Cardinality Constraint Problem via Beetle Antennae Search Algorithm (BAS).
Oper. Res. Forum, 2021
Beetle Antennae Search Strategy for Neural Network Model Optimization with Application to Glomerular Filtration Rate Estimation.
Neural Process. Lett., 2021
A Vary-Parameter Convergence-Accelerated Recurrent Neural Network for Online Solving Dynamic Matrix Pseudoinverse and its Robot Application.
Neural Process. Lett., 2021
Recurrent neural network with noise rejection for cyclic motion generation of robotic manipulators.
Neural Networks, 2021
Foreword: Special Issue on Advances in Evolutionary Computation for Image Processing.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021
Neurocomputing, 2021
Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system.
Neurocomputing, 2021
Neural dynamics for adaptive attitude tracking control of a flapping wing micro aerial vehicle.
Neurocomputing, 2021
Enhanced Beetle Antennae Search with Zeroing Neural Network for online solution of constrained optimization.
Neurocomputing, 2021
Collaboration of multiple SCARA robots with guaranteed safety using recurrent neural networks.
Neurocomputing, 2021
A multi-constrained zeroing neural network for time-dependent nonlinear optimization with application to mobile robot tracking control.
Neurocomputing, 2021
An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition.
IEEE CAA J. Autom. Sinica, 2021
IEEE CAA J. Autom. Sinica, 2021
Tracking control of redundant manipulator under active remote center-of-motion constraints: an RNN-based metaheuristic approach.
Sci. China Inf. Sci., 2021
Quantum beetle antennae search: a novel technique for the constrained portfolio optimization problem.
Sci. China Inf. Sci., 2021
Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems.
CAAI Trans. Intell. Technol., 2021
Kinematic control of wheeled mobile manipulators subject to inherent physical constraints and noise disturbances.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
MKE Scheme for Planning and Control of Dual-arm Robotic System Aided with Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021
Cuckoo-Beetle Swarm Search for Nonlinear Optimization: A New Meta-Heuristic Algorithm.
Proceedings of the 7th International Conference on Systems and Informatics, 2021
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
Real Time Volume Measurement of Logistics Cartons Through 3D Point Cloud Segmentation.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
Robust Formation Tracking of Multiple Wheeled Mobile Robots Under External Disturbance.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
2020
Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Composite Neural Learning-Based Nonsingular Terminal Sliding Mode Control of MEMS Gyroscopes.
IEEE Trans. Neural Networks Learn. Syst., 2020
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2020
Adaptive Neural Output-Feedback Decentralized Control for Large-Scale Nonlinear Systems With Stochastic Disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Ind. Informatics, 2020
Online Autotuning Technique for IPMSM Servo Drive by Intelligent Identification of Moment of Inertia.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach.
IEEE Trans. Ind. Informatics, 2020
Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise.
IEEE Trans. Ind. Informatics, 2020
New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective.
IEEE Trans. Ind. Informatics, 2020
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Cybern., 2020
New Super-Twisting Zeroing Neural-Dynamics Model for Tracking Control of Parallel Robots: A Finite-Time and Robust Solution.
IEEE Trans. Cybern., 2020
IEEE Trans. Control. Syst. Technol., 2020
Using Social Behavior of Beetles to Establish a Computational Model for Operational Management.
IEEE Trans. Comput. Soc. Syst., 2020
A Multi-Level Simultaneous Minimization Scheme Applied to Jerk-Bounded Redundant Robot Manipulators.
IEEE Trans Autom. Sci. Eng., 2020
A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Dynamic System and Applications to Robots.
IEEE Trans. Cogn. Dev. Syst., 2020
A new fallback beetle antennae search algorithm for path planning of mobile robots with collision-free capability.
Soft Comput., 2020
Real-Time Dynamic Path Planning of Mobile Robots: A Novel Hybrid Heuristic Optimization Algorithm.
Sensors, 2020
Varying-parameter Zhang neural network for approximating some expressions involving outer inverses.
Optim. Methods Softw., 2020
J. Frankl. Inst., 2020
Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation.
J. Frankl. Inst., 2020
Discrete-time zeroing neural network for solving time-varying Sylvester-transpose matrix inequation via exp-aided conversion.
Neurocomputing, 2020
Tracking control of redundant mobile manipulator: An RNN based metaheuristic approach.
Neurocomputing, 2020
Simultaneous identification, tracking control and disturbance rejection of uncertain nonlinear dynamics systems: A unified neural approach.
Neurocomputing, 2020
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression.
Neurocomputing, 2020
Int. J. Comput. Intell. Syst., 2020
IEEE CAA J. Autom. Sinica, 2020
BAS-ADAM: an ADAM based approach to improve the performance of beetle antennae search optimizer.
IEEE CAA J. Autom. Sinica, 2020
Trans. Emerg. Telecommun. Technol., 2020
CoRR, 2020
Sci. China Inf. Sci., 2020
Time-varying minimum-cost portfolio insurance under transaction costs problem via Beetle Antennae Search Algorithm (BAS).
Appl. Math. Comput., 2020
IEEE Access, 2020
Recurrent Neural Networks-Based Collision-Free Motion Planning for Dual Manipulators Under Multiple Constraints.
IEEE Access, 2020
Cooperative Kinematic Control for Multiple Redundant Manipulators Under Partially Known Information Using Recurrent Neural Network.
IEEE Access, 2020
Control Framework for Trajectory Planning of Soft Manipulator Using Optimized RRT Algorithm.
IEEE Access, 2020
Sliding Mode Control With PID Sliding Surface for Active Vibration Damping of Pneumatically Actuated Soft Robots.
IEEE Access, 2020
Optimal Portfolio Management for Engineering Problems Using Nonconvex Cardinality Constraint: A Computing Perspective.
IEEE Access, 2020
Active Sensing of Robot Arms Based on Zeroing Neural Networks: A Biological-Heuristic Optimization Model.
IEEE Access, 2020
Motion Planning of Redundant Manipulator With Variable Joint Velocity Limit Based on Beetle Antennae Search Algorithm.
IEEE Access, 2020
Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020
A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like Equation.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
265, Springer, ISBN: 978-3-030-33383-6, 2020
Springer, ISBN: 978-981-15-3230-6, 2020
2019
Solving Time-Varying System of Nonlinear Equations by Finite-Time Recurrent Neural Networks With Application to Motion Tracking of Robot Manipulators.
IEEE Trans. Syst. Man Cybern. Syst., 2019
IEEE Trans. Syst. Man Cybern. Syst., 2019
Reconfigurable Battery Systems: A Survey on Hardware Architecture and Research Challenges.
ACM Trans. Design Autom. Electr. Syst., 2019
New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators.
IEEE Trans. Ind. Informatics, 2019
On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints.
IEEE Trans. Ind. Informatics, 2019
Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed.
IEEE Trans. Ind. Informatics, 2019
A Model-Based Recurrent Neural Network With Randomness for Efficient Control With Applications.
IEEE Trans. Ind. Informatics, 2019
A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Ind. Informatics, 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
Compatible Convex-Nonconvex Constrained QP-Based Dual Neural Networks for Motion Planning of Redundant Robot Manipulators.
IEEE Trans. Control. Syst. Technol., 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
Sensors, 2019
Rejecting Chaotic Disturbances Using a Super-Exponential-Zeroing Neurodynamic Approach for Synchronization of Chaotic Sensor Systems.
Sensors, 2019
A Non-linear and Noise-Tolerant ZNN Model and Its Application to Static and Time-Varying Matrix Square Root Finding.
Neural Process. Lett., 2019
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
Frontiers Neurorobotics, 2019
Deep Recurrent Neural Networks Based Obstacle Avoidance Control for Redundant Manipulators.
Frontiers Neurorobotics, 2019
Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach.
Autom., 2019
Appl. Soft Comput., 2019
A recurrent neural network applied to optimal motion control of mobile robots with physical constraints.
Appl. Soft Comput., 2019
Annu. Rev. Control., 2019
Incremental Learning Introspective Movement Primitives From Multimodal Unstructured Demonstrations.
IEEE Access, 2019
A Novel Neural Network Classifier Using Beetle Antennae Search Algorithm for Pattern Classification.
IEEE Access, 2019
A New Trajectory-Planning Beetle Swarm Optimization Algorithm for Trajectory Planning of Robot Manipulators.
IEEE Access, 2019
A Novel Disturbance Rejection Zeroing Neurodynamic Approach for Robust Synchronization of Chaotic Systems.
IEEE Access, 2019
Portable Image Based Moon Date Detection and Declaration: System and Algorithm Code Sign.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019
Path planning and trajectroy tracking of a mobile robot using bio-inspired optimization algorithms and PID control.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Time-Scale Expansion-Based Approximated Optimal Control for Underactuated Systems Using Projection Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises.
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
Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2018
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises.
IEEE Trans. Neural Networks Learn. Syst., 2018
A Novel Recurrent Neural Network for Manipulator Control With Improved Noise Tolerance.
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
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. Ind. Informatics, 2018
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Ind. Informatics, 2018
New Discretization-Formula-Based Zeroing Dynamics for Real-Time Tracking Control of Serial and Parallel Manipulators.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
Tracking Control of Robot Manipulators with Unknown Models: A Jacobian-Matrix-Adaption Method.
IEEE Trans. Ind. Informatics, 2018
Adaptive Projection Neural Network for Kinematic Control of Redundant Manipulators With Unknown Physical Parameters.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Ind. Electron., 2018
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data.
IEEE Trans. Cybern., 2018
Tricriteria Optimization-Coordination Motion of Dual-Redundant-Robot Manipulators for Complex Path Planning.
IEEE Trans. Control. Syst. Technol., 2018
Adaptive Near-Optimal Control of Uncertain Systems With Application to Underactuated Surface Vessels.
IEEE Trans. Control. Syst. Technol., 2018
A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality.
IEEE Trans. Autom. Control., 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
A new recurrent neural network with noise-tolerance and finite-time convergence for dynamic quadratic minimization.
Neurocomputing, 2018
A nonlinear and noise-tolerant ZNN model solving for time-varying linear matrix equation.
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
Frontiers Neurorobotics, 2018
A Survey on Blockchain Technology and Its Potential Applications in Distributed Control and Cooperative Robots.
CoRR, 2018
Complex., 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
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
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Ind. Informatics, 2017
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Electron., 2017
A Multi-Quadcopter Cooperative Cyber-Physical System for Timely Air Pollution Localization.
ACM Trans. Embed. Comput. Syst., 2017
IEEE Trans. Cybern., 2017
Backstepping-Based Lyapunov Function Construction Using Approximate Dynamic Programming and Sum of Square Techniques.
IEEE Trans. Cybern., 2017
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
Simultaneous learning and control of parallel Stewart platforms with unknown parameters.
Neurocomputing, 2017
Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints.
Neurocomputing, 2017
Beetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization.
CoRR, 2017
CoRR, 2017
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
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
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
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 Networks Learn. Syst., 2016
Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Multi Scale Comput. Syst., 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
IEEE Trans. Cybern., 2016
CPS Oriented Control Design for Networked Surveillance Robots With Multiple Physical Constraints.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016
An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.
IEEE Trans Autom. Sci. Eng., 2016
ACM Trans. Auton. Adapt. Syst., 2016
Formation Control and Tracking for Co-operative Robots with Non-holonomic Constraints - Categories (2), (3).
J. Intell. Robotic Syst., 2016
Robust adaptive fuzzy fault-tolerant control for a class of non-lower-triangular nonlinear systems with actuator failures.
Inf. Sci., 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
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. Ind. Informatics, 2015
Improving network topology-based protein interactome mapping via collaborative filtering.
Knowl. Based Syst., 2015
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
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. Ind. Informatics, 2014
ACM Trans. Embed. Comput. Syst., 2014
Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation.
IEEE Trans. Cybern., 2014
A MapReduce based parallel SVM for large-scale predicting protein-protein interactions.
Neurocomputing, 2014
A DAG Task Scheduling Scheme on Heterogeneous Computing Systems Using Invasive Weed Optimization Algorithm.
Proceedings of the Sixth International Symposium on Parallel Architectures, 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 Networks Learn. 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 Process. Lett., 2013
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function.
Neural Process. Lett., 2013
A class of finite-time dual neural networks for solving quadratic programming problems and its <i>k</i>-winners-take-all application.
Neural Networks, 2013
Neural Comput. Appl., 2013
Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks.
Neural Comput. Appl., 2013
A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments.
Neurocomputing, 2013
Int. J. Distributed Sens. Networks, 2013
Commun. Nonlinear Sci. Numer. Simul., 2013
2012
Sensors, 2012
Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration.
Sensors, 2012
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks.
Neurocomputing, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2009
A Novel CPG with Proprioception and its Application on the Locomotion Control of Quadruped Robot.
Int. J. Inf. Acquis., 2009
2007
Int. J. Inf. Acquis., 2007
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007