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A review on two-link flexible manipulators
This paper presents a survey in the field of two-link flexible manipulators (TLFMs). Two-link
flexible manipulators are more used in comparison with other types of flexible manipulators …
flexible manipulators are more used in comparison with other types of flexible manipulators …
[HTML][HTML] Novel physics-informed artificial neural network architectures for system and input identification of structural dynamics PDEs
Herein, two novel Physics Informed Neural Network (PINN) architectures are proposed for
output-only system identification and input estimation of dynamic systems. Using merely …
output-only system identification and input estimation of dynamic systems. Using merely …
Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …
Model identification and control design for a humanoid robot
In this paper, model identification and adaptive control design are performed on Devanit-
Hartenberg model of a humanoid robot. We focus on the modeling of the 6 degree-of …
Hartenberg model of a humanoid robot. We focus on the modeling of the 6 degree-of …
A hybrid adaptive time-delay neural network model for multi-step-ahead prediction of sunspot activity
JX ** methodologies and systems for
embedding autonomy within smart devices (Things). Moreover, as Things typically operate …
embedding autonomy within smart devices (Things). Moreover, as Things typically operate …
Robust adaptive fault detection and diagnosis observer design for a class of nonlinear systems with uncertainty and unknown time-varying internal delay
This paper introduces a novel robust adaptive fault detection and diagnosis (FDD) observer
design approach for a class of nonlinear systems with parametric uncertainty, unknown …
design approach for a class of nonlinear systems with parametric uncertainty, unknown …
Adaptive time delay neural network structures for nonlinear system identification
In this paper, motivated by the adaptive time delay neural networks (ATDNN), four structures
are developed for identifying different classes of nonlinear systems expressed in the input …
are developed for identifying different classes of nonlinear systems expressed in the input …
Model identification and human-robot coupling control of lower limb exoskeleton with biogeography-based learning particle swarm optimization
Lower limb exoskeleton is a typical wearable robot to assist human motion and improve
physiological power. However, the control performance and stability are affected by some …
physiological power. However, the control performance and stability are affected by some …