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Min Yang 0010
Person information
- affiliation: Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China
- affiliation: MOE Key Laboratory of Machine Intelligence and Advanced Computing, Guangzhou, China
Other persons with the same name
- Min Yang — disambiguation page
- Min Yang 0001 — Wuhan University, Computer School, State Key Lab of Software Engineering, China
- Min Yang 0002
— Fudan University, School of Computer Science, Shanghai Key Laboratory of Data Science, China
- Min Yang 0003 — Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China
- Min Yang 0004 — Zhejiang University, College of Computer Science, China
- Min Yang 0005
- Min Yang 0006
- Min Yang 0007
- Min Yang 0008 — FalconStor Software, Melville, NY, USA (and 2 more)
- Min Yang 0009
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2020 – today
- 2024
- [j26]Min Yang
Discrete integral-type zeroing neurodynamics for robust inverse-free and model-free motion control of redundant manipulators. Comput. Electr. Eng. 118: 109344 (2024) - [j25]Min Yang
New Second-Level-Discrete Zeroing Neural Network for Solving Dynamic Linear System. IEEE CAA J. Autom. Sinica 11(6): 1521-1523 (2024) - [j24]Min Yang
Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8597-8608 (2024) - 2023
- [j23]Min Yang
Explicit Linear Left-and-Right 5-Step Formulas With Zeroing Neural Network for Time-Varying Applications. IEEE Trans. Cybern. 53(2): 1133-1143 (2023) - [j22]Yunong Zhang
Jerk-Level Zhang Neurodynamics Equivalency of Bound Constraints, Equation Constraints, and Objective Indices for Cyclic Motion of Robot-Arm Systems. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3005-3018 (2023) - [c11]Ji Lu, Min Yang
Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level. ICONIP (1) 2023: 238-252 - 2022
- [j21]Min Yang
7-Instant Discrete-Time Synthesis Model Solving Future Different-Level Linear Matrix System via Equivalency of Zeroing Neural Network. IEEE Trans. Cybern. 52(8): 8366-8375 (2022) - [j20]Min Yang
Concise Discrete ZNN Controllers for End-Effector Tracking and Obstacle Avoidance of Redundant Manipulators. IEEE Trans. Ind. Informatics 18(5): 3193-3202 (2022) - [j19]Min Yang
6-Step Discrete ZNN Model for Repetitive Motion Control of Redundant Manipulator. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4969-4980 (2022) - [j18]Yunong Zhang
Unified Solution of Different-Kind Future Matrix Equations Using New Nine-Instant Discretization Formula and Zeroing Neural Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4993-5003 (2022) - 2021
- [j17]Min Yang
Pose control of constrained redundant arm using recurrent neural networks and one-iteration computing algorithm. Appl. Soft Comput. 113(Part): 108007 (2021) - [j16]Min Yang
Posture coordination control of two-manipulator system using projection neural network. Neurocomputing 427: 179-190 (2021) - [j15]Yunong Zhang
Continuous and discrete zeroing dynamics models using JMP function array and design formula for solving time-varying Sylvester-transpose matrix inequality. Numer. Algorithms 86(4): 1591-1614 (2021) - [j14]Min Yang
Relationship between time-instant number and precision of ZeaD formulas with proofs. Numer. Algorithms 88(2): 883-902 (2021) - [j13]Yunong Zhang
Inverse-Free Discrete ZNN Models Solving for Future Matrix Pseudoinverse via Combination of Extrapolation and ZeaD Formulas. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2663-2675 (2021) - [c10]Jinjin Guo, Binbin Qiu, Min Yang
Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization. IJCNN 2021: 1-6 - [c9]Yunong Zhang
Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas. IJCNN 2021: 1-9 - 2020
- [j12]Min Yang
Discrete ZNN models of Adams-Bashforth (AB) type solving various future problems with motion control of mobile manipulator. Neurocomputing 384: 84-93 (2020) - [j11]Yunong Zhang
Discrete-time zeroing neural network for solving time-varying Sylvester-transpose matrix inequation via exp-aided conversion. Neurocomputing 386: 126-135 (2020) - [j10]Yunong Zhang
New zeroing neural dynamics models for diagonalization of symmetric matrix stream. Numer. Algorithms 85(3): 849-866 (2020) - [j9]Yunong Zhang
Discrete-time formulation, control, solution and verification of pendulum systems with zeroing neural dynamics. Theor. Comput. Sci. 817: 33-43 (2020) - [j8]Yunong Zhang
From mathematical equivalence such as Ma equivalence to generalized Zhang equivalency including gradient equivalency. Theor. Comput. Sci. 817: 44-54 (2020) - [j7]Min Yang
Adaptive Discrete ZND Models for Tracking Control of Redundant Manipulator. IEEE Trans. Ind. Informatics 16(12): 7360-7368 (2020) - [j6]Min Yang
General 7-Instant DCZNN Model Solving Future Different-Level System of Nonlinear Inequality and Linear Equation. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3204-3214 (2020) - [c8]Zhenyu Li, Min Yang
Zhang Neural Dynamics (ZND) Tracking Control of Multiple Integrator Systems with Noise Disturbances: Theoretical and Simulative Results. ICACI 2020: 1-7 - [c7]Liangjie Ming, Min Yang
Peng-Type ZNN Model Attempted for Online Diagonalization of Time-Varying Symmetric Matrix. ICACI 2020: 16-22
2010 – 2019
- 2019
- [j5]Yunong Zhang
Zeroing Neural Dynamics and Models for Various Time-Varying Problems Solving with ZLSF Models as Minimization-Type and Euler-Type Special Cases [Research Frontier]. IEEE Comput. Intell. Mag. 14(3): 52-60 (2019) - [j4]Yunong Zhang
Step-width theoretics and numerics of four-point general DTZN model for future minimization using Jury stability criterion. Neurocomputing 357: 231-239 (2019) - [j3]Yunong Zhang
Stepsize domain confirmation and optimum of ZeaD formula for future optimization. Numer. Algorithms 81(2): 561-574 (2019) - [j2]Yunong Zhang
New Discrete-Solution Model for Solving Future Different-Level Linear Inequality and Equality With Robot Manipulator Control. IEEE Trans. Ind. Informatics 15(4): 1975-1984 (2019) - [j1]Yunong Zhang
Stepsize Range and Optimal Value for Taylor-Zhang Discretization Formula Applied to Zeroing Neurodynamics Illustrated via Future Equality-Constrained Quadratic Programming. IEEE Trans. Neural Networks Learn. Syst. 30(3): 959-966 (2019) - [c6]Yunong Zhang
Using EZDA Approach to Handle Original ZG Control Failure for TVNS Systems Output Tracking due to States Tending to Infinity. ICSAI 2019: 44-50 - [c5]Yunong Zhang
Time-Varying Complex Zhang Matrix (ZM) with Its Pseudoinverse not Solvable Directly by Getz-Masden (GM) Dynamic System. SSCI 2019: 519-526 - 2018
- [c4]Huan-Chang Huang, Jian-Xin Zhang, Jian Li, Min Yang
Discrete-Time Lu Chaotic Systems Synchronization with One ZND Controller Input and Zead Formulas. ICMLC 2018: 6-12 - [c3]Yunong Zhang
Exemplar Different-Level Quadratic Minimization, Division-by-Zero Issue, and Comparative Solutions. ICSAI 2018: 126-133 - [c2]Huanchang Huang, Min Yang
Theoretical Analyses and Results of Taylor-Zhang Discretization Formula and ZeaD4Ig2_Y Formula Generating Discrete-Time Solutions of ODE Dynamic Systems. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1225-1230 - 2016
- [c1]Yunong Zhang
Jerk-level solutions to manipulator inverse kinematics with mathematical equivalence of operations discovered. ICNC-FSKD 2016: 2121-2126
Coauthor Index
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last updated on 2024-12-17 21:53 CET by the dblp team
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