Ying Kong

Analysis of Traction Performance for 180 HP Continuously Variable Transmission Tractor

Yue Song, Yajing Jin, Ying Kong, Yehui Zhao et autres

The traction performance analysis of hydro-mechanical transmission (HMT) tractors is employed to evaluate and optimize the transmission system during the design phase, thereby reducing research and development costs associated with continuously variable tractor transmission systems. However, there is currently no established methodological …

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Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

Ying Kong, Shaoyuan Sun, Yunliang Jiang, Lin Wei

ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via …

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Predictor–Corrector Advanced Zeroing Neural Network for Combination of Nonlinear Equations and Bounded Inequalities

Ying Kong, Junjie Hao, Yunliang Jiang, Yuanqing Tang et autres

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Energy Consumption Analysis of 2Z-X(B) Planetary Input-Coupled Hydro-Mechanical Tractor Transmission

Fuxing Ge, Ying Kong, Fengping Liu, Ning Luo et autres

The hydro-mechanical transmission (HMT) of continuously variable transmission tractors typically achieves speed regulation using a 2Z-X(A) planetary gear system. Long-term use of this setup has created a strong patent barrier, hindering further HMT structural innovation. This study systematically examines the energy consumption …

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An Optimized UAV Flight Path Planning Method Based on Urban Low-Altitude Navigation Knowledge Graph

Ying Kong, Xian Guo

Abstract. With the rapid growth of the low-altitude economy, path planning for Unmanned Aerial Vehicles (UAVs) in complex urban low-altitude environments has become increasingly critical. However, urban low-altitude scenarios are influenced by buildings, meteorological conditions, regulatory restrictions and numerous factors. Traditional path …

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Solution for Lyapunov Equation by a Novel Varying-Parameter Neural Dynamics with Its Kinematic Application to Redundant Manipulators

Yi Yu, Junjie Hao, Ying Kong

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Distributed Neurodynamics Controller-Based Two-Phase Strength Converging Law for Synchronization of Multimanipulator Systems

Ying Kong, Jiayue Yin, Yunliang Jiang, Danfeng Sun

In this article, a distributed neurodynamics controller-based strength converging law is proposed for the multimanipulator systems (MMSs) with joint uncertainties and external disturbances. By utilizing the potential form of Nash equilibrium, a distributed optimization scheme of minimum velocity norm (MVN) for synchronous …

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Milne–Hamming Method With Zeroing Neural Network for Time-Varying Nonlinear Optimization and Redundant Manipulator Application

Ying Kong, Xi Chen, Yunliang Jiang, Danfeng Sun

Continuous zeroing neural network (ZNN) and its discrete ZNN (DZNN) are comprehensively developed in many optimization systems. In this article, a Milne-Hamming method with DZNN classified as an implicit method is proposed and discussed upon the previous researches. Specifically, the Milne-Hamming discrete …

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A dynamic scheme for collaborative redundant manipulators aided with neural networks in a competitive manner

Ying Kong, Xi Chen, Jiayue Yin

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Novel Discretized Zeroing Neural Network Models for Time-Varying Optimization Aided With Predictor-Corrector Methods

Ying Kong, Xi Chen, Danfeng Sun, Jun Zhang

In this article, we derive the predictor-corrector (PC) methods with three-order convergent precision, together with a class of specific general linear three-step (GLTS) rules provided. Afterward, a time-varying optimization (TVO) problem, which is deemed as a discrete TVO has been formulated and …

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A Predefined Time Fuzzy Neural Solution With Event-Triggered Mechanism to Kinematic Planning of Manipulator With Physical Constraints

Ying Kong, Xuxiang Zeng, Yunliang Jiang, Danfeng Sun

To assist redundant manipulator to complete complex repetitive trajectory in a presented time, this article provides a solution to the kinematic assignment and presents a predefined time fuzzy zeroing neural network with event-triggered mechanism (ETM-PTFZNN). The repetitive kinematics of the redundant manipulator …

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Comprehensive Study on a Fuzzy Parameter Strategy of Zeroing Neural Network for Time-Variant Complex Sylvester Equation

Ying Kong, Xuxiang Zeng, Yunliang Jiang, Danfeng Sun

To amplify the achievements on Zeroing neural network (ZNN) and widen the application of fuzzy logic system (FLS), a complex fuzzy parameter zeroing neural network (CFPZNN) model is established to address the time-variant complex Sylvester equation problem. Varying from the fixed parameters …

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