Robot manipulator control using neural networks: A survey
Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …
engineering applications in recent years. Using manipulators to save labors and increase …
Manipulability optimization of redundant manipulators using dynamic neural networks
For solving the singularity problem arising in the control of manipulators, an efficient way is
to maximize its manipulability. However, it is challenging to optimize manipulability …
to maximize its manipulability. However, it is challenging to optimize manipulability …
Dynamic neural network models for time-varying problem solving: a survey on model structures
C Hua, X Cao, Q Xu, B Liao, S Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …
complex problems. Numerous studies have indicated that complex problems can generally …
ACP-incorporated perturbation-resistant neural dynamics controller for autonomous vehicles
Autonomous vehicle control systems are unavoidably influenced by diverse noise
perturbations from the unpredictable external environment and internal system. In this …
perturbations from the unpredictable external environment and internal system. In this …
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function
F Yu, L Liu, L **ao, K Li, S Cai - Neurocomputing, 2019 - Elsevier
Nonlinear activation functions play an important role in zeroing neural network (ZNN), and it
has be proved that ZNN can achieve finite-time convergence when the sign-bi-power (SBP) …
has be proved that ZNN can achieve finite-time convergence when the sign-bi-power (SBP) …
A survey on projection neural networks and their applications
Constrained optimization problems arise in numerous scientific and engineering
applications, and many papers on the online solution of constrained optimization problems …
applications, and many papers on the online solution of constrained optimization problems …
Neural dynamics for cooperative control of redundant robot manipulators
In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of
multiple redundant manipulators with limited communications. It is guaranteed that, with the …
multiple redundant manipulators with limited communications. It is guaranteed that, with the …
RNN for solving perturbed time-varying underdetermined linear system with double bound limits on residual errors and state variables
Neural networks have been generally deemed as important tools to handle kinds of online
computing problems in recent decades, which have plenty of applications in science and …
computing problems in recent decades, which have plenty of applications in science and …
RNN models for dynamic matrix inversion: A control-theoretical perspective
In this paper, the existing recurrent neural network (RNN) models for solving zero-finding
(eg, matrix inversion) with time-varying parameters are revisited from the perspective of …
(eg, matrix inversion) with time-varying parameters are revisited from the perspective of …
Noise-suppressing zeroing neural network for online solving time-varying matrix square roots problems: A control-theoretic approach
In this paper, the noise-suppressing zeroing neural network models (NSZNNMs) for online
solving time-varying matrix square roots problems (TVMSRPs) are revisited and redesigned …
solving time-varying matrix square roots problems (TVMSRPs) are revisited and redesigned …