Adaptive neural control for dual-arm coordination of humanoid robot with unknown nonlinearities in output mechanism

Z Liu, C Chen, Y Zhang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
To achieve an excellent dual-arm coordination of the humanoid robot, it is essential to deal
with the nonlinearities existing in the system dynamics. The literatures so far on the …

Hybrid intelligent modeling schemes for heart disease classification

YE Shao, CD Hou, CC Chiu - Applied Soft Computing, 2014 - Elsevier
Heart disease is the leading cause of death among both men and women in most countries
in the world. Thus, people must be mindful of heart disease risk factors. Although genetics …

Recurrent fuzzy neural cerebellar model articulation network fault-tolerant control of six-phase permanent magnet synchronous motor position servo drive

FJ Lin, IF Sun, KJ Yang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
A recurrent fuzzy neural cerebellar model articulation network (RFNCMAN) fault-tolerant
control of a six-phase permanent magnet synchronous motor (PMSM) position servo drive is …

Material–robot system for assembly of discrete cellular structures

B Jenett, A Abdel-Rahman, K Cheung… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
We present a material–robot system consisting of mobile robots that can assemble discrete
cellular structures. We detail the manufacturing of cuboctahedral unit cells, termed voxels …

Event-triggered control for T–S fuzzy systems under asynchronous network communications

D Liu, GH Yang, MJ Er - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This paper is concerned with the event-triggered dynamic output feedback control problem
for Takagi-Sugeno (TS) fuzzy systems under asynchronous network communications …

Self-learning cruise control using kernel-based least squares policy iteration

J Wang, X Xu, D Liu, Z Sun… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper presents a novel learning-based cruise controller for autonomous land vehicles
(ALVs) with unknown dynamics and external disturbances. The learning controller consists …

Adaptive neural network finite-time control for uncertain robotic manipulators

H Liu, T Zhang - Journal of Intelligent & Robotic Systems, 2014 - Springer
An adaptive neural network finite-time controller (NNFTC) for a class of uncertain nonlinear
systems is proposed by using the backstepping method, which employs an adaptive neural …

A new iterative least squares parameter estimation approach for equation-error autoregressive systems

L Wan, F Ding, X Liu, C Chen - International Journal of Control …, 2020 - Springer
This paper investigates the identification methods for controlled autoregressive systems with
autoregressive noise (ie, equation-error autoregressive systems) from given input and …

Smoothing of wind farm output by prediction and supervisory-control-unit-based FESS

F Islam, A Al-Durra, SM Muyeen - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper presents a supervisory control unit (SCU) combined with short-term ahead wind
speed prediction for proper and effective management of the stored energy in a small …

Adaptive fuzzy event-triggered control for leader–following consensus of high-order nonlinear systems

W Wang, Y Li, S Tong - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This article is concerned with the adaptive fuzzy event-triggered control for leader–following
consensus of high-order nonlinear systems under directed communication topologies …