Li-function activated ZNN with finite-time convergence applied to redundant-manipulator kinematic control via time-varying Jacobian matrix pseudoinversion
This paper presents and investigates the application of Zhang neural network (ZNN)
activated by Li function to kinematic control of redundant robot manipulators via time-varying …
activated by Li function to kinematic control of redundant robot manipulators via time-varying …
Zhang neural network for online solution of time-varying linear matrix inequality aided with an equality conversion
In this paper, for online solution of time-varying linear matrix inequality (LMI), such an LMI is
first converted to a time-varying matrix equation by introducing a time-varying matrix, of …
first converted to a time-varying matrix equation by introducing a time-varying matrix, of …
ZNN for solving online time-varying linear matrix–vector inequality via equality conversion
In this paper, a special recurrent neural network termed Zhang neural network (ZNN) is
proposed and investigated for solving online time-varying linear matrix–vector inequality …
proposed and investigated for solving online time-varying linear matrix–vector inequality …
ZNN for time-variant nonlinear inequality systems: A finite-time solution
L Xiao, W Song, L Jia, X Li - Neurocomputing, 2022 - Elsevier
Since the solution of time-variant nonlinear inequality systems is trapped by the
convergence performance of the models, this paper explores an enhanced nonlinear sign-bi …
convergence performance of the models, this paper explores an enhanced nonlinear sign-bi …
Robust neural dynamics method for redundant robot manipulator control with physical constraints
Redundant robot manipulators play a significant role in modern industry. In this article, we
propose a solution scheme to the trajectory tracking problem of the redundant robot …
propose a solution scheme to the trajectory tracking problem of the redundant robot …
Solving time-varying linear inequalities by finite-time convergent zeroing neural networks
In this paper, to solve time-varying linear inequalities much faster, on basis of zeroing neural
network (ZNN), two finite-time convergent ZNN (FTCZNN) models are proposed by …
network (ZNN), two finite-time convergent ZNN (FTCZNN) models are proposed by …
Common nature of learning between BP-type and Hopfield-type neural networks
Being two famous neural networks, the error back-propagation (BP) algorithm based neural
networks (ie, BP-type neural networks, BPNNs) and Hopfield-type neural networks (HNNs) …
networks (ie, BP-type neural networks, BPNNs) and Hopfield-type neural networks (HNNs) …
Different Zhang functions resulting in different ZNN models demonstrated via time-varying linear matrix–vector inequalities solving
L Xiao, Y Zhang - Neurocomputing, 2013 - Elsevier
Our previous work shows that Zhang neural network (ZNN) has the higher efficiency and
better performance for solving online time-varying linear matrix–vector inequalities, as …
better performance for solving online time-varying linear matrix–vector inequalities, as …
[HTML][HTML] Simulations and bisimulations between weighted finite automata based on time-varying models over real numbers
The zeroing neural network (ZNN) is an important kind of continuous-time recurrent neural
network (RNN). Meanwhile, the existence of forward and backward simulations and …
network (RNN). Meanwhile, the existence of forward and backward simulations and …
[HTML][HTML] From mathematical equivalence such as Ma equivalence to generalized Zhang equivalency including gradient equivalency
Y Zhang, M Yang, B Qiu, J Li, M Zhu - Theoretical Computer Science, 2020 - Elsevier
The authors carried out time-varying problems solving (TVPS) including robot problems
solving in 2001, and began to figure out the reasons for the problems solving via diverse …
solving in 2001, and began to figure out the reasons for the problems solving via diverse …