Constrained 3-D trajectory planning for aerial vehicles without range measurement

T Han, Q Hu, Q Wang, M Xin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A Line of Sight (LOS) angular acceleration-based three-dimensional (3-D) trajectory
planning method is designed for aerial vehicles under constrained arrival without range …

Characteristics-capturing neural dynamics for solving time-dependent nonlinear equations with periodic noise

M Liu, Y Hu, J Li, L Jin - IEEE Transactions on Cognitive and …, 2023 - ieeexplore.ieee.org
Nowadays, many dynamic systems show the characteristics of multiple-input-multiple-output
and nonlinearity, which usually involve the solution of time-dependent nonlinear equations …

Zeroing neural network with fuzzy parameter for cooperative manner of multiple redundant manipulators

Y Kong, S Chen, Y Jiang, H Wang, H Chen - Expert Systems with …, 2023 - Elsevier
In this work, a distributed scheme based on quadratic programming for cooperative manner
of multiple redundant manipulators with limited space constraints is studied. For the solution …

A Variable-Gain Fixed-Time Convergent and Robust ZNN Model for Image Fusion: Design, Analysis, and Verification

L Xiao, X Yan, Y He, P Cao - IEEE Transactions on Systems …, 2024 - ieeexplore.ieee.org
Image fusion can obtain the superior information and reduce the noise in the source image
by designing a specific scheme. However, the noise in image fusion has been a difficult …

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

Y Kong, X Chen, Y Jiang, D Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

ELSS-DZN and ELSS-IFDHGZN Algorithms Solving Future Quadratic Programming Applied to Robot Manipulator

P Guo, Y Zhang - IEEE Transactions on Systems, Man, and …, 2023 - ieeexplore.ieee.org
It is common knowledge that the future quadratic programming (FQP) problem is a
challenging and widely applicable topic in mathematical science and many engineering …

A Fixed-Time Robust ZNN Model With Adaptive Parameters for Redundancy Resolution of Manipulators

M Cao, L Xiao, Q Zuo, P Tan, Y He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the excellent time-varying problem-solving capability of zeroing neural network
(ZNN), many redundancy resolution schemes based on ZNN have been proposed for …

PNSND: A Novel Solution for Dynamic Nonlinear Equations and Its Application to Robotic Arm

S Huang, P Zhang, K Wu, X Xiao - IEEE Access, 2024 - ieeexplore.ieee.org
Dynamic nonlinear equations (DNEs) are essential for modeling complex systems in various
fields due to their ability to capture real-world phenomena. However, the solution of DNEs …

Robust terminal recurrent neural network for finding exact solution of the TVQP problem with various noises

Y Kong, J Wu, Y Jiang, H Wu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Zeroing neural network (ZNN) with different activation functions (AFs) for finding zero-result
of time-varying quadratic programming (TVQP) with no noises are revisited. To improve the …

A finite-time convergent neural network for solving time-varying linear equations with inequality constraints applied to redundant manipulator

Y Kong, T Hu, J Lei, R Han - Neural Processing Letters, 2022 - Springer
Zhang neural network (ZNN), a special recurrent neural network, has recently been
established as an effective alternative for time-varying linear equations with inequality …