Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A hybrid evolutionary algorithm for recurrent neural network control of a three-dimensional tower crane
SC Duong, E Uezato, H Kinjo, T Yamamoto - Automation in Construction, 2012 - Elsevier
This paper is concerned with the control of an underactuated three-dimensional tower crane
system using a recurrent neural network (RNN) which is evolved by an evolutionary …
system using a recurrent neural network (RNN) which is evolved by an evolutionary …
Robust adaptive coordination controller for a spacecraft equipped with a robotic manipulator
Free-flying robotic spacecraft play a significant role in the space industry today. Unlike
ground-based robots, the manipulator motion in a space robot can cause undesirable …
ground-based robots, the manipulator motion in a space robot can cause undesirable …
Rhonn modelling-enabled nonlinear predictive control for lateral dynamics stabilization of an in-wheel motor driven vehicle
Featuring the fast response and flexibility in control allocation, an electric vehicle with in-
wheel motors is a good platform for implementing advanced vehicle dynamics control …
wheel motors is a good platform for implementing advanced vehicle dynamics control …
RHONN-modeling-based predictive safety assessment and torque vectoring for holistic stabilization of electrified vehicles
Improving vehicle safety and reducing traffic accidents have always been of cardinal
importance in vehicle dynamics control fields. A reasonable and comprehensive safety …
importance in vehicle dynamics control fields. A reasonable and comprehensive safety …
An LMI approach to stability analysis of reaction–diffusion Cohen–Grossberg neural networks concerning Dirichlet boundary conditions and distributed delays
Z Wang, H Zhang, P Li - … Systems, Man, and Cybernetics, Part B …, 2010 - ieeexplore.ieee.org
The global asymptotic stability problem for a class of reaction-diffusion Cohen-Grossberg
neural networks with both time-varying delay and infinitely distributed delay is investigated …
neural networks with both time-varying delay and infinitely distributed delay is investigated …
Improving the performance of globalized dual heuristic programming for fault tolerant control through an online learning supervisor
GG Yen, PG DeLima - IEEE transactions on automation …, 2005 - ieeexplore.ieee.org
An advanced reconfigurable controller enhanced by a multiple model architecture is
proposed as a tool to achieve fault tolerance in complex nonlinear systems. The most …
proposed as a tool to achieve fault tolerance in complex nonlinear systems. The most …
Casimir force between two ideal-conductor walls revisited
B Jancovici, L Šamaj - Europhysics Letters, 2005 - iopscience.iop.org
The high-temperature aspects of the Casimir force between two neutral conducting walls are
studied. The mathematical model of" inert" ideal-conductor walls, considered in the original …
studied. The mathematical model of" inert" ideal-conductor walls, considered in the original …
Neural integrated control for a free-floating space robot with suddenly changing parameters
WH Zhang, NM Qi, J Ma, AY **ao - Science China Information Sciences, 2011 - Springer
Because the state of a free-floating space robot model is uncertain and sudden changes in
the model parameters might undermine the stability of the system, this paper proposes a …
the model parameters might undermine the stability of the system, this paper proposes a …
Variable structure control for space robots based on neural networks
Y Fang, W Zhang, X Ye - International Journal of Advanced …, 2014 - journals.sagepub.com
Problems of trajectory tracking for a class of free-floating robot manipulators with
uncertainties are considered. Two neural network controls are designed. The first scheme …
uncertainties are considered. Two neural network controls are designed. The first scheme …
Multidimensional Taylor network optimal control of SISO nonlinear systems for tracking by output feedback
HS Yan, QM Sun, B Zhou - Optimal Control Applications and …, 2018 - Wiley Online Library
It is difficult or even impossible for the existing nonlinear system control methods to realize
the real‐time tracking control of nonlinear systems in the presence of modeling errors by …
the real‐time tracking control of nonlinear systems in the presence of modeling errors by …